First, I have provided the essay outline
We conclude that
You can avoid first-person pronouns by employing any of the following three methods.
Sentences including first-person pronouns | Improvement | Improved sentence |
---|---|---|
We conducted in-depth research. | Use the third person pronoun | The researchers conducted in-depth research. |
I argue that the experimental results justify the hypothesis. | Change the subject | This study argues that the experimental results justify the hypothesis. |
I performed statistical analysis of the dataset in SPSS. | Switch to passive voice | The dataset was statistically analysed in SPSS. |
There are advantages and disadvantages of each of these three strategies. For example, passive voice introduces dangling modifiers, which can make your text unclear and ambiguous. Therefore, it would be best to keep first-person pronouns in the text if you can use them.
In some forms of academic writing, such as a personal statement and reflective essay, it is completely acceptable to use first-person pronouns.
Avoid using the first person plural to refer to people in academic text, known as the “editorial we”. The use of the “editorial we” is quite common in newspapers when the author speaks on behalf of the people to express a shared experience or view.
Refrain from using broad generalizations in academic text. You have to be crystal clear and very specific about who you are making reference to. Use nouns in place of pronouns where possible.
If you are talking on behalf of a specific group you belong to, then the use of “we” is acceptable.
It is strictly prohibited to use the second-person pronoun “you” to address the audience in any form of academic writing. You can rephrase the sentence or introduce the impersonal pronoun “one” to avoid second-person pronouns in the text.
Third-person pronouns in the English language are usually gendered (She/Her, He/Him). Educational institutes worldwide are increasingly advocating for gender-neutral language, so you should avoid using third-person pronouns in academic text.
In the older academic text, you will see gender-based nouns (Fishermen, Traitor) and pronouns (him, her, he, she) being commonly used. However, this style of writing is outdated and warned against in the present times.
You may also see some authors using both masculine and feminine pronouns, such as “he” or “she”, in the same text, but this generally results in unclear and inappropriate sentences.
Considering using gender-neutral pronouns, such as “they”, ‘there”, “them” for unknown people and undetermined people. The use of “they” in academic writing is highly encouraged. Many style guides, including Harvard, MLA, and APA, now endorse gender natural pronouns in academic writing.
On the other hand, you can also choose to avoid using pronouns altogether by either revising the sentence structure or pluralizing the sentence’s subject.
Make sure it is clear who you are referring to with the singular “they” pronoun. You may want to rewrite the sentence or name the subject directly if the pronoun makes the sentence ambiguous.
For example, in the following example, you can see it is unclear who the plural pronoun “they” is referring to. To avoid confusion, the subject is named directly, and the context approves that “their paper” addresses the writer.
If you need to make reference to a specific person, it would be better to address them using self-identified pronouns. For example, in the following sentence, you can see that each person is referred to using a different possessive pronoun.
The students described their experience with different academic projects: Mike talked about his essay, James talked about their poster presentation, and Sara talked about her dissertation paper.
Avoid switching back and forth between first-person pronouns (I, We, Our) and third-person pronouns (The writers, the students) in a single piece. It is vitally important to maintain consistency throughout the text.
For example, The writers completed the work in due time, and our content quality is well above the standard expected. We completed the work in due time, and our content quality is well above the standard expected. The writers completed the work in due time, and the content quality is well above the standard expected.“
Make sure it is clear who you are referring to when using demonstrative pronouns. Consider placing a descriptive word or phrase after the demonstrative pronouns to give more clarity to the sentence.
For example, The political relationship between Israel and Arab states has continued to worsen over the last few decades, contrary to the expectations of enthusiasts in the regional political sphere. This shows that a lot more needs to be done to tackle this. The political relationship between Israel and Arab states has continued to worsen over the last few decades, contrary to the expectations of enthusiasts in the regional political sphere. This situation shows that a lot more needs to be done to tackle this issue.
What are the 8 types of pronouns.
The 8 types of pronouns are:
Parentheses enclose additional information in a sentence that is not necessary for the sentence to make sense. This article explains the rules of parentheses with examples.
This article describes misplaced modifiers and how to fix them, and also provides an insight into ambiguous modifiers and adverb placement.
This articles provides information on the order of adjectives in a string of adjectives that feels intuitive to native English speakers, but not to the non-native English speakers.
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Published on October 17, 2022 by Jack Caulfield . Revised on July 4, 2023.
First-person pronouns are words such as “I” and “us” that refer either to the person who said or wrote them (singular), or to a group including the speaker or writer (plural). Like second- and third-person pronouns , they are a type of personal pronoun .
They’re used without any issue in everyday speech and writing, but there’s an ongoing debate about whether they should be used in academic writing .
There are four types of first-person pronouns—subject, object, possessive, and reflexive—each of which has a singular and a plural form. They’re shown in the table below and explained in more detail in the following sections.
I | me | mine | myself | |
we | us | ours | ourselves |
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First-person subject pronouns (“i” and “we”), first-person object pronouns (“me” and “us”), first-person possessive pronouns (“mine” and “ours”), first-person reflexive pronouns (“myself” and “ourselves”), first-person pronouns in academic writing, other interesting language articles, frequently asked questions.
Used as the subject of a verb , the first-person subject pronoun takes the form I (singular) or we (plural). Note that unlike all other pronouns, “I” is invariably capitalized .
A subject is the person or thing that performs the action described by the verb. In most sentences, it appears at the start or after an introductory phrase, just before the verb it is the subject of.
To be honest, we haven’t made much progress.
Used as the object of a verb or preposition , the first-person object pronoun takes the form me (singular) or us (plural). Objects can be direct or indirect, but the object pronoun should be used in both cases.
It makes no difference to me .
Will they tell us where to go?
First-person possessive pronouns are used to represent something that belongs to you. They are mine (singular) and ours (plural).
They are closely related to the first-person possessive determiners my (singular) and our (plural). The difference is that determiners must modify a noun (e.g., “ my book”), while pronouns stand on their own (e.g., “that one is mine ”).
It was a close game, but in the end, victory was ours .
A reflexive pronoun is used instead of an object pronoun when the object of the sentence is the same as the subject. The first-person reflexive pronouns are myself (singular) and ourselves (plural). They occur with reflexive verbs, which describe someone acting upon themselves (e.g., “I wash myself ”).
The same words can also be used as intensive pronouns , in which case they place greater emphasis on the person carrying out the action (e.g., “I’ll do it myself ”).
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While first-person pronouns are used without any problem in most contexts, there’s an ongoing debate about their use in academic writing . They have traditionally been avoided in many academic disciplines for two main reasons:
However, the first person is increasingly standard in many types of academic writing. Some style guides, such as APA , require the use of first-person pronouns (and determiners) when referring to your own actions and opinions. The tendency varies based on your field of study:
If you do need to avoid using first-person pronouns (and determiners ) in your writing, there are three main techniques for doing so.
First-person sentence | Technique | Revised sentence |
---|---|---|
We 12 participants. | Use the third person | The researchers interviewed 12 participants. |
I argue that the theory needs to be refined further. | Use a different subject | This paper argues that the theory needs to be refined further. |
I checked the dataset for and . | Use the | The dataset was checked for missing data and outliers. |
Each technique has different advantages and disadvantages. For example, the passive voice can sometimes result in dangling modifiers that make your text less clear. If you are allowed to use first-person pronouns, retaining them is the best choice.
If you’re allowed to use the first person, you still shouldn’t overuse it. First-person pronouns (and determiners ) are used for specific purposes in academic writing.
Use the first person … | Examples |
---|---|
To organize the text and guide the reader through your argument | argue that … outline the development of … conclude that … |
To report methods, procedures, and steps undertaken | analyzed … interviewed … |
To signal your position in a debate or contrast your claims with another source | findings suggest that … contend that … |
Avoid arbitrarily inserting your own thoughts and feelings in a way that seems overly subjective and adds nothing to your argument:
Whether you may or may not refer to yourself in the first person, it’s important to maintain a consistent point of view throughout your text. Don’t shift between the first person (“I,” “we”) and the third person (“the author,” “the researchers”) within your text.
Regardless of whether you’re allowed to use the first person in your writing, you should avoid the editorial “we.” This is the use of plural first-person pronouns (or determiners) such as “we” to make a generalization about people. This usage is regarded as overly vague and informal.
Broad generalizations should be avoided, and any generalizations you do need to make should be expressed in a different way, usually with third-person plural pronouns (or occasionally the impersonal pronoun “one”). You also shouldn’t use the second-person pronoun “you” for generalizations.
If you want to know more about nouns , pronouns , verbs , and other parts of speech , make sure to check out some of our other language articles with explanations and examples.
Nouns & pronouns
Yes, the personal pronoun we and the related pronouns us , ours , and ourselves are all first-person. These are the first-person plural pronouns (and our is the first-person plural possessive determiner ).
If you’ve been told not to refer to yourself in the first person in your academic writing , this means you should also avoid the first-person plural terms above . Switching from “I” to “we” is not a way of avoiding the first person, and it’s illogical if you’re writing alone.
If you need to avoid first-person pronouns , you can instead use the passive voice or refer to yourself in the third person as “the author” or “the researcher.”
Personal pronouns are words like “he,” “me,” and “yourselves” that refer to the person you’re addressing, to other people or things, or to yourself. Like other pronouns, they usually stand in for previously mentioned nouns (antecedents).
They are called “personal” not because they always refer to people (e.g., “it” doesn’t) but because they indicate grammatical person ( first , second , or third person). Personal pronouns also change their forms based on number, gender, and grammatical role in a sentence.
In grammar, person is how we distinguish between the speaker or writer (first person), the person being addressed (second person), and any other people, objects, ideas, etc. referred to (third person).
Person is expressed through the different personal pronouns , such as “I” ( first-person pronoun ), “you” ( second-person pronoun ), and “they” (third-person pronoun). It also affects how verbs are conjugated, due to subject-verb agreement (e.g., “I am” vs. “you are”).
In fiction, a first-person narrative is one written directly from the perspective of the protagonist . A third-person narrative describes the protagonist from the perspective of a separate narrator. A second-person narrative (very rare) addresses the reader as if they were the protagonist.
We strongly encourage students to use sources in their work. You can cite our article (APA Style) or take a deep dive into the articles below.
Caulfield, J. (2023, July 04). First-Person Pronouns | List, Examples & Explanation. Scribbr. Retrieved October 8, 2024, from https://www.scribbr.com/academic-writing/first-person-pronouns/
Aarts, B. (2011). Oxford modern English grammar . Oxford University Press.
Butterfield, J. (Ed.). (2015). Fowler’s dictionary of modern English usage (4th ed.). Oxford University Press.
Garner, B. A. (2016). Garner’s modern English usage (4th ed.). Oxford University Press.
Other students also liked, what is a pronoun | definition, types & examples, active vs. passive constructions | when to use the passive voice, second-person pronouns | list, examples & explanation, get unlimited documents corrected.
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Use first-person pronouns in APA Style to describe your work as well as your personal reactions.
Do not use the third person to refer to yourself. Writers are often tempted to do this as a way to sound more formal or scholarly; however, it can create ambiguity for readers about whether you or someone else performed an action.
Correct: I explored treatments for social anxiety.
Incorrect: The author explored treatments for social anxiety.
First-person pronouns are covered in the seventh edition APA Style manuals in the Publication Manual Section 4.16 and the Concise Guide Section 2.16
Also avoid the editorial “we” to refer to people in general.
Incorrect: We often worry about what other people think of us.
Instead, specify the meaning of “we”—do you mean other people in general, other people of your age, other students, other psychologists, other nurses, or some other group? The previous sentence can be clarified as follows:
Correct: As young adults, we often worry about what other people think of us. I explored my own experience of social anxiety...
When you use the first person to describe your own actions, readers clearly understand when you are writing about your own work and reactions versus those of other researchers.
4-minute read
Writing in the first person, or using I and we pronouns, has traditionally been frowned upon in academic writing . But despite this long-standing norm, writing in the first person isn’t actually prohibited. In fact, it’s becoming more acceptable – even in research papers.
If you’re wondering whether you can use I (or we ) in your research paper, you should check with your institution first and foremost. Many schools have rules regarding first-person use. If it’s up to you, though, we still recommend some guidelines. Check out our tips below!
Certain sections of your paper are more conducive to writing in the first person. Typically, the first person makes sense in the abstract, introduction, discussion, and conclusion sections. You should still limit your use of I and we , though, or your essay may start to sound like a personal narrative .
Using first-person pronouns is most useful and acceptable in the following circumstances.
When doing so removes the passive voice and adds flow
Sometimes, writers have to bend over backward just to avoid using the first person, often producing clunky sentences and a lot of passive voice constructions. The first person can remedy this. For example:
Both sentences are fine, but the second one flows better and is easier to read.
When discussing literature from other researchers and authors, you might be comparing it with your own findings or hypotheses . Using the first person can help clarify that you are engaging in such a comparison. For example:
In the first sentence, using “the author” to avoid the first person creates ambiguity. The second sentence prevents misinterpretation.
In some instances, you may need to provide background for why you’re researching your topic. This information may include your personal interest in or experience with the subject, both of which are easier to express using first-person pronouns. For example:
Expressing personal experiences and viewpoints isn’t always a good idea in research papers. When it’s appropriate to do so, though, just make sure you don’t overuse the first person.
It’s usually a good idea to stick to the third person in the methods and results sections of your research paper. Additionally, be careful not to use the first person when:
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● It makes your findings seem like personal observations rather than factual results.
● It removes objectivity and implies that the writing may be biased .
● It appears in phrases such as I think or I believe , which can weaken your writing.
Using the first person while maintaining a formal tone can be tricky, but keeping a few tips in mind can help you strike a balance. The important thing is to make sure the tone isn’t too conversational.
To achieve this, avoid referring to the readers, such as with the second-person you . Use we and us only when referring to yourself and the other authors/researchers involved in the paper, not the audience.
It’s becoming more acceptable in the academic world to use first-person pronouns such as we and I in research papers. But make sure you check with your instructor or institution first because they may have strict rules regarding this practice.
If you do decide to use the first person, make sure you do so effectively by following the tips we’ve laid out in this guide. And once you’ve written a draft, send us a copy! Our expert proofreaders and editors will be happy to check your grammar, spelling, word choice, references, tone, and more. Submit a 500-word sample today!
Is it ever acceptable to use I or we in a research paper?
In some instances, using first-person pronouns can help you to establish credibility, add clarity, and make the writing easier to read.
How can I avoid using I in my writing?
Writing in the passive voice can help you to avoid using the first person.
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Traditionally, some fields have frowned on the use of the first-person singular in an academic essay and others have encouraged that use, and both the frowning and the encouraging persist today—and there are good reasons for both positions (see “Should I”).
I recommend that you not look on the question of using “I” in an academic paper as a matter of a rule to follow, as part of a political agenda (see webb), or even as the need to create a strategy to avoid falling into Scylla-or-Charybdis error. Let the first-person singular be, instead, a tool that you take out when you think it’s needed and that you leave in the toolbox when you think it’s not.
Franklin, Benjamin. The Autobiography of Benjamin Franklin . Project Gutenberg , 28 Dec. 2006, www.gutenberg.org/app/uploads/sites/3/20203/20203-h/20203-h.htm#I.
“Should I Use “I”?” The Writing Center at UNC—Chapel Hill , writingcenter.unc.edu/handouts/should-i-use-i/.
webb, Christine. “The Use of the First Person in Academic Writing: Objectivity, Language, and Gatekeeping.” ResearchGate , July 1992, doi: 10.1111/j.1365-2648.1992.tb01974.x.
I have borrowed MLA only yesterday, did my MAEnglish in May 2017.MLA is of immense help for scholars.An overview of the book really enlightened me.I should have read it at bachelor's degree level.
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I discourage the use of "I" in essays for undergraduates to reinforce a conversational tone and to "self-recognize" the writer as an authority or at least a thorough researcher. Writing a play is different than an essay with a purpose.
When a student or writer is strongly and passionately interested in his or her stance and argument to persuade his or her audience, the use of personal pronoun srenghtens his or her passion for the subject. This passion should be clear in his/her expression. However, I encourage the use of the first-person, I, sparingly -- only when and where absolutely necessary.
I once had a student use the word "eye" when writing about how to use pronouns. Her peers did not catch it. I made comments, but I think she never understood what eye was saying!
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What this handout is about.
This handout is about determining when to use first person pronouns (“I”, “we,” “me,” “us,” “my,” and “our”) and personal experience in academic writing. “First person” and “personal experience” might sound like two ways of saying the same thing, but first person and personal experience can work in very different ways in your writing. You might choose to use “I” but not make any reference to your individual experiences in a particular paper. Or you might include a brief description of an experience that could help illustrate a point you’re making without ever using the word “I.” So whether or not you should use first person and personal experience are really two separate questions, both of which this handout addresses. It also offers some alternatives if you decide that either “I” or personal experience isn’t appropriate for your project. If you’ve decided that you do want to use one of them, this handout offers some ideas about how to do so effectively, because in many cases using one or the other might strengthen your writing.
Students often arrive at college with strict lists of writing rules in mind. Often these are rather strict lists of absolutes, including rules both stated and unstated:
We get these ideas primarily from teachers and other students. Often these ideas are derived from good advice but have been turned into unnecessarily strict rules in our minds. The problem is that overly strict rules about writing can prevent us, as writers, from being flexible enough to learn to adapt to the writing styles of different fields, ranging from the sciences to the humanities, and different kinds of writing projects, ranging from reviews to research.
So when it suits your purpose as a scholar, you will probably need to break some of the old rules, particularly the rules that prohibit first person pronouns and personal experience. Although there are certainly some instructors who think that these rules should be followed (so it is a good idea to ask directly), many instructors in all kinds of fields are finding reason to depart from these rules. Avoiding “I” can lead to awkwardness and vagueness, whereas using it in your writing can improve style and clarity. Using personal experience, when relevant, can add concreteness and even authority to writing that might otherwise be vague and impersonal. Because college writing situations vary widely in terms of stylistic conventions, tone, audience, and purpose, the trick is deciphering the conventions of your writing context and determining how your purpose and audience affect the way you write. The rest of this handout is devoted to strategies for figuring out when to use “I” and personal experience.
In many cases, using the first person pronoun can improve your writing, by offering the following benefits:
Here is an example of how using the first person can make the writing clearer and more assertive:
Original example:
In studying American popular culture of the 1980s, the question of to what degree materialism was a major characteristic of the cultural milieu was explored.
Better example using first person:
In our study of American popular culture of the 1980s, we explored the degree to which materialism characterized the cultural milieu.
The original example sounds less emphatic and direct than the revised version; using “I” allows the writers to avoid the convoluted construction of the original and clarifies who did what.
Here is an example in which alternatives to the first person would be more appropriate:
As I observed the communication styles of first-year Carolina women, I noticed frequent use of non-verbal cues.
Better example:
A study of the communication styles of first-year Carolina women revealed frequent use of non-verbal cues.
In the original example, using the first person grounds the experience heavily in the writer’s subjective, individual perspective, but the writer’s purpose is to describe a phenomenon that is in fact objective or independent of that perspective. Avoiding the first person here creates the desired impression of an observed phenomenon that could be reproduced and also creates a stronger, clearer statement.
Here’s another example in which an alternative to first person works better:
As I was reading this study of medieval village life, I noticed that social class tended to be clearly defined.
This study of medieval village life reveals that social class tended to be clearly defined.
Although you may run across instructors who find the casual style of the original example refreshing, they are probably rare. The revised version sounds more academic and renders the statement more assertive and direct.
Here’s a final example:
I think that Aristotle’s ethical arguments are logical and readily applicable to contemporary cases, or at least it seems that way to me.
Better example
Aristotle’s ethical arguments are logical and readily applicable to contemporary cases.
In this example, there is no real need to announce that that statement about Aristotle is your thought; this is your paper, so readers will assume that the ideas in it are yours.
Which fields allow “I”?
The rules for this are changing, so it’s always best to ask your instructor if you’re not sure about using first person. But here are some general guidelines.
Sciences: In the past, scientific writers avoided the use of “I” because scientists often view the first person as interfering with the impression of objectivity and impersonality they are seeking to create. But conventions seem to be changing in some cases—for instance, when a scientific writer is describing a project she is working on or positioning that project within the existing research on the topic. Check with your science instructor to find out whether it’s o.k. to use “I” in their class.
Social Sciences: Some social scientists try to avoid “I” for the same reasons that other scientists do. But first person is becoming more commonly accepted, especially when the writer is describing their project or perspective.
Humanities: Ask your instructor whether you should use “I.” The purpose of writing in the humanities is generally to offer your own analysis of language, ideas, or a work of art. Writers in these fields tend to value assertiveness and to emphasize agency (who’s doing what), so the first person is often—but not always—appropriate. Sometimes writers use the first person in a less effective way, preceding an assertion with “I think,” “I feel,” or “I believe” as if such a phrase could replace a real defense of an argument. While your audience is generally interested in your perspective in the humanities fields, readers do expect you to fully argue, support, and illustrate your assertions. Personal belief or opinion is generally not sufficient in itself; you will need evidence of some kind to convince your reader.
Other writing situations: If you’re writing a speech, use of the first and even the second person (“you”) is generally encouraged because these personal pronouns can create a desirable sense of connection between speaker and listener and can contribute to the sense that the speaker is sincere and involved in the issue. If you’re writing a resume, though, avoid the first person; describe your experience, education, and skills without using a personal pronoun (for example, under “Experience” you might write “Volunteered as a peer counselor”).
A note on the second person “you”:
In situations where your intention is to sound conversational and friendly because it suits your purpose, as it does in this handout intended to offer helpful advice, or in a letter or speech, “you” might help to create just the sense of familiarity you’re after. But in most academic writing situations, “you” sounds overly conversational, as for instance in a claim like “when you read the poem ‘The Wasteland,’ you feel a sense of emptiness.” In this case, the “you” sounds overly conversational. The statement would read better as “The poem ‘The Wasteland’ creates a sense of emptiness.” Academic writers almost always use alternatives to the second person pronoun, such as “one,” “the reader,” or “people.”
The question of whether personal experience has a place in academic writing depends on context and purpose. In papers that seek to analyze an objective principle or data as in science papers, or in papers for a field that explicitly tries to minimize the effect of the researcher’s presence such as anthropology, personal experience would probably distract from your purpose. But sometimes you might need to explicitly situate your position as researcher in relation to your subject of study. Or if your purpose is to present your individual response to a work of art, to offer examples of how an idea or theory might apply to life, or to use experience as evidence or a demonstration of an abstract principle, personal experience might have a legitimate role to play in your academic writing. Using personal experience effectively usually means keeping it in the service of your argument, as opposed to letting it become an end in itself or take over the paper.
It’s also usually best to keep your real or hypothetical stories brief, but they can strengthen arguments in need of concrete illustrations or even just a little more vitality.
Here are some examples of effective ways to incorporate personal experience in academic writing:
Here are some suggestions about including personal experience in writing for specific fields:
Philosophy: In philosophical writing, your purpose is generally to reconstruct or evaluate an existing argument, and/or to generate your own. Sometimes, doing this effectively may involve offering a hypothetical example or an illustration. In these cases, you might find that inventing or recounting a scenario that you’ve experienced or witnessed could help demonstrate your point. Personal experience can play a very useful role in your philosophy papers, as long as you always explain to the reader how the experience is related to your argument. (See our handout on writing in philosophy for more information.)
Religion: Religion courses might seem like a place where personal experience would be welcomed. But most religion courses take a cultural, historical, or textual approach, and these generally require objectivity and impersonality. So although you probably have very strong beliefs or powerful experiences in this area that might motivate your interest in the field, they shouldn’t supplant scholarly analysis. But ask your instructor, as it is possible that they are interested in your personal experiences with religion, especially in less formal assignments such as response papers. (See our handout on writing in religious studies for more information.)
Literature, Music, Fine Arts, and Film: Writing projects in these fields can sometimes benefit from the inclusion of personal experience, as long as it isn’t tangential. For instance, your annoyance over your roommate’s habits might not add much to an analysis of “Citizen Kane.” However, if you’re writing about Ridley Scott’s treatment of relationships between women in the movie “Thelma and Louise,” some reference your own observations about these relationships might be relevant if it adds to your analysis of the film. Personal experience can be especially appropriate in a response paper, or in any kind of assignment that asks about your experience of the work as a reader or viewer. Some film and literature scholars are interested in how a film or literary text is received by different audiences, so a discussion of how a particular viewer or reader experiences or identifies with the piece would probably be appropriate. (See our handouts on writing about fiction , art history , and drama for more information.)
Women’s Studies: Women’s Studies classes tend to be taught from a feminist perspective, a perspective which is generally interested in the ways in which individuals experience gender roles. So personal experience can often serve as evidence for your analytical and argumentative papers in this field. This field is also one in which you might be asked to keep a journal, a kind of writing that requires you to apply theoretical concepts to your experiences.
History: If you’re analyzing a historical period or issue, personal experience is less likely to advance your purpose of objectivity. However, some kinds of historical scholarship do involve the exploration of personal histories. So although you might not be referencing your own experience, you might very well be discussing other people’s experiences as illustrations of their historical contexts. (See our handout on writing in history for more information.)
Sciences: Because the primary purpose is to study data and fixed principles in an objective way, personal experience is less likely to have a place in this kind of writing. Often, as in a lab report, your goal is to describe observations in such a way that a reader could duplicate the experiment, so the less extra information, the better. Of course, if you’re working in the social sciences, case studies—accounts of the personal experiences of other people—are a crucial part of your scholarship. (See our handout on writing in the sciences for more information.)
You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill
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Editorial "we", singular "they".
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Research Help Appointments are one-on-one sessions with a librarian.
APA recommends avoiding the use of the third person when referring to your self as the primary investigator or author. Use the personal pronoun I or we when referring to steps in an experiment. (see page 120, 4.16 in the APA 7th Edition Manual)
Correct: We assessed the vality of the experiment design with a literature review.
Incorrect: The authors assessed the vality of the experiment with a literature review.
Avoid the use of the editorial or universal we. The use of we can be confusing because it is not clear to the reader who you are referring to in your research. Substitute the word we with a noun, such as researchers, nurses, or students. Limit the use of the word we to refer to yourself and your coauthors. (See page 120 4.17 in the APA 7th edition manual)
Correct: Humans experience the world as a spectrum of sights, sounds, and smells.
Incorrect: We experience the world as a spectrum of sights, sounds, and smells .
The Singular "They" refers to a generic third-person singular pronoun. APA is promoting the use of the singular "they" as a way of being more inclusive and to avoid assumptions about gender. Many advocacy groups and publishers are now supporting it.
Observe the following guidelines when addressing issues surrounding third-person pronouns:
Writing in the first , second , or third person is referred to as the author’s point of view . When we write, our tendency is to personalize the text by writing in the first person . That is, we use pronouns such as “I” and “we”. This is acceptable when writing personal information, a journal, or a book. However, it is not common in academic writing.
Some writers find the use of first , second , or third person point of view a bit confusing while writing research papers. Since second person is avoided while writing in academic or scientific papers, the main confusion remains within first or third person.
In the following sections, we will discuss the usage and examples of the first , second , and third person point of view.
The first person point of view simply means that we use the pronouns that refer to ourselves in the text. These are as follows:
Using these, we present the information based on what “we” found. In science and mathematics, this point of view is rarely used. It is often considered to be somewhat self-serving and arrogant . It is important to remember that when writing your research results, the focus of the communication is the research and not the persons who conducted the research. When you want to persuade the reader, it is best to avoid personal pronouns in academic writing even when it is personal opinion from the authors of the study. In addition to sounding somewhat arrogant, the strength of your findings might be underestimated.
For example:
Based on my results, I concluded that A and B did not equal to C.
In this example, the entire meaning of the research could be misconstrued. The results discussed are not those of the author ; they are generated from the experiment. To refer to the results in this context is incorrect and should be avoided. To make it more appropriate, the above sentence can be revised as follows:
Based on the results of the assay, A and B did not equal to C.
The second person point of view uses pronouns that refer to the reader. These are as follows:
This point of view is usually used in the context of providing instructions or advice , such as in “how to” manuals or recipe books. The reason behind using the second person is to engage the reader.
You will want to buy a turkey that is large enough to feed your extended family. Before cooking it, you must wash it first thoroughly with cold water.
Although this is a good technique for giving instructions, it is not appropriate in academic or scientific writing.
The third person point of view uses both proper nouns, such as a person’s name, and pronouns that refer to individuals or groups (e.g., doctors, researchers) but not directly to the reader. The ones that refer to individuals are as follows:
The third person point of view that refers to groups include the following:
Everyone at the convention was interested in what Dr. Johnson presented. The instructors decided that the students should help pay for lab supplies. The researchers determined that there was not enough sample material to conduct the assay.
The third person point of view is generally used in scientific papers but, at times, the format can be difficult. We use indefinite pronouns to refer back to the subject but must avoid using masculine or feminine terminology. For example:
A researcher must ensure that he has enough material for his experiment. The nurse must ensure that she has a large enough blood sample for her assay.
Many authors attempt to resolve this issue by using “he or she” or “him or her,” but this gets cumbersome and too many of these can distract the reader. For example:
A researcher must ensure that he or she has enough material for his or her experiment. The nurse must ensure that he or she has a large enough blood sample for his or her assay.
These issues can easily be resolved by making the subjects plural as follows:
Researchers must ensure that they have enough material for their experiment. Nurses must ensure that they have large enough blood samples for their assay.
As mentioned earlier, the third person is generally used in scientific writing, but the rules are not quite as stringent anymore. It is now acceptable to use both the first and third person pronouns in some contexts, but this is still under controversy.
In a February 2011 blog on Eloquent Science , Professor David M. Schultz presented several opinions on whether the author viewpoints differed. However, there appeared to be no consensus. Some believed that the old rules should stand to avoid subjectivity, while others believed that if the facts were valid, it didn’t matter which point of view was used.
In general, it is acceptable in to use the first person point of view in abstracts, introductions, discussions, and conclusions, in some journals. Even then, avoid using “I” in these sections. Instead, use “we” to refer to the group of researchers that were part of the study. The third person point of view is used for writing methods and results sections. Consistency is the key and switching from one point of view to another within sections of a manuscript can be distracting and is discouraged. It is best to always check your author guidelines for that particular journal. Once that is done, make sure your manuscript is free from the above-mentioned or any other grammatical error.
You are the only researcher involved in your thesis project. You want to avoid using the first person point of view throughout, but there are no other researchers on the project so the pronoun “we” would not be appropriate. What do you do and why? Please let us know your thoughts in the comments section below.
I am writing the history of an engineering company for which I worked. How do I relate a significant incident that involved me?
Hi Roger, Thank you for your question. If you are narrating the history for the company that you worked at, you would have to refer to it from an employee’s perspective (third person). If you are writing the history as an account of your experiences with the company (including the significant incident), you could refer to yourself as ”I” or ”My.” (first person) You could go through other articles related to language and grammar on Enago Academy’s website https://enago.com/academy/ to help you with your document drafting. Did you get a chance to install our free Mobile App? https://www.enago.com/academy/mobile-app/ . Make sure you subscribe to our weekly newsletter: https://www.enago.com/academy/subscribe-now/ .
Good day , i am writing a research paper and m y setting is a company . is it ethical to put the name of the company in the research paper . i the management has allowed me to conduct my research in thir company .
thanks docarlene diaz
Generally authors do not mention the names of the organization separately within the research paper. The name of the educational institution the researcher or the PhD student is working in needs to be mentioned along with the name in the list of authors. However, if the research has been carried out in a company, it might not be mandatory to mention the name after the name in the list of authors. You can check with the author guidelines of your target journal and if needed confirm with the editor of the journal. Also check with the mangement of the company whether they want the name of the company to be mentioned in the research paper.
Finishing up my dissertation the information is clear and concise.
How to write the right first person pronoun if there is a single researcher? Thanks
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Personal pronouns are used to indicate point of view in most types of writing. Here are some common points of view:
In scholarly writing, first-person and third-person point of view are common, but second-person point of view is not. Read more about appropriate points of view on the following pages:
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Usage of Pronouns in an Article
Which Pronoun Should be Used Where?
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Nature Communications volume 15 , Article number: 152 ( 2024 ) Cite this article
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Pronoun usage’s psychological underpinning and behavioral consequence have fascinated researchers, with much research attention paid to second-person pronouns like “you,” “your,” and “yours.” While these pronouns’ effects are understood in many contexts, their role in bilateral, dynamic conversations (especially those outside of close relationships) remains less explored. This research attempts to bridge this gap by examining 25,679 instances of peer review correspondence with Nature Communications using the difference-in-differences method. Here we show that authors addressing reviewers using second-person pronouns receive fewer questions, shorter responses, and more positive feedback. Further analyses suggest that this shift in the review process occurs because “you” (vs. non-“you”) usage creates a more personal and engaging conversation. Employing the peer review process of scientific papers as a backdrop, this research reveals the behavioral and psychological effects that second-person pronouns have in interactive written communications.
Introduction.
In written communications, one can address the other conversational party using either second-person pronouns or their third-person counterparts. For instance, during the peer review process of a scientific paper, an academic may address the reviewers either using “you” (e.g., “the issue you brought up”) or a third-person reference instead (e.g., “the issue the reviewer brought up…”). Whether this choice matters, however, is less known. This question is embedded within the recent research investigating the behavioral and psychological consequences of personal pronoun usage 1 , 2 , 3 , which in turn falls under the broader research category of the social function of language usage 4 , 5 , 6 . Building upon this growing literature, the present research aims to investigate how the usage of second-person pronouns (“you,” “your,” and “yours”; hereinafter, we use the terms second-person pronoun usage and “you” usage interchangeably) impacts the outcome of written communications.
Currently, a wealth of research has investigated the impact of “you” usage on individuals’ mental state and/or behavior. For instance, “you” can draw the attention of a conversational party and hence evoke higher involvement 7 , 8 , 9 . Moreover, generic “you,” as in “you shall not murder,” signals normative behavior and hence impacts persuasion 10 , 11 , 12 , 13 . Furthermore, “you” usage in lyrics like “I will always love you” or movie quotes like “here’s looking at you, kid” can remind one of somebody in their own life (a loved one in these examples) 14 . Despite their important insights, however, most such investigations focus on one-way and one-off communications. While another body of literature does investigate “you” in two-way communications, it is largely limited to close relationships, mainly focusing on how pronoun usage reflects a party’s self- or other-focus 4 , 15 , 16 , 17 . Therefore, the field’s knowledge is still limited about the role of second-person pronouns in bilateral, dynamic, and interactive conversations, especially beyond close relationships.
To bridge this gap, in the present paper, we examine the behavioral and psychological consequences of second-person pronoun usage in interactive, conversational settings. Specifically, by analyzing 25,679 instances of revision correspondence with Nature Communications , we focus on how “you” (vs. non-“you”) usage in authors’ responses to reviewers may influence reviewers’ behavior. This dataset is ideal for our investigation, because the peer review process allows us to compare naturally occurring instances of both “you” and non-“you” responses.
The extant literature has shown that by directly addressing a conversational party, second-person pronouns can evoke the listener’s attention, personal relevance, and involvement in the communication 7 , 14 . Other personal pronouns do not possess this feature. For instance, in stark contrast to “you,” third-person pronouns often function to signal objectivity and minimize the involvement or even the existence of the speaker 18 , 19 , 20 . Building on this literature, we contend that in a communicative setting, addressing the other party as “you” (vs. not as “you”) should be associated with a more personal and engaging conversation, in contrast to an impersonal, businesslike exchange.
This feature of “you” usage may, in turn, lead to observable behavioral patterns in peer review outcomes. First, the personal and engaging conversational tone stimulated by “you” usage may in and of itself make the reviewer like the responses more, as individuals tend to favor things that are personally relevant 8 , 14 . Second, communicative norms that govern such conversations may call for greater politeness, civility, and embarrassment avoidance (“face-saving”) in communications 21 , 22 , 23 , 24 , making the comments more favorable (or less harsh) than they otherwise would be and resulting in greater positivity and fewer questions in reviewer comments.
Building on this perspective, here we show that when the authors use (vs. do not use) second-person pronouns to address the reviewers, they also see less lengthy reviewer comments, encounter fewer questions, and receive more positive and less negative feedback. We further link this shift in the review process to a more personal and engaging conversation prompted by “you” usage: First, when authors address reviewers using “you,” the reviewer responses tend to include fewer first-person singular pronouns, suggesting decreased self-focus 25 , 26 , 27 , 28 ; and to use less complex words, a staple feature of in-person conversation 29 , 30 , 31 , 32 . Second, thematic analyses conducted using Latent Dirichlet Allocation (LDA) show that second-person pronouns are indeed associated with increased reviewer engagement in their comments. Core findings from our dataset are also causally supported by a pre-registered behavioral experiment ( N = 1601). Specifically, when participants assuming the role of reviewers are addressed in second person (vs. third person), they evaluate an otherwise identical author response as more positive. This effect is mediated by the extent to which the conversation is perceived as personal and engaging. Taken together, this research investigates the behavioral consequence and psychological underpinning of second-person pronoun usage employing field and lab data. In so doing, we contribute to the literature on language usage (and pronoun usage in particular) and shed light on the collegiate understanding of the peer review process and science of science in general.
We analyzed revision correspondence of all papers published in Nature Communications between April 2016 (when the journal first began publishing reviewer reports) and April 2021. This dataset contains 13,359 published papers that account for a total of 29,144 rounds of review. In the present research, a “round” of review is defined as one exchange between the editorial/reviewer team (hereinafter simply “reviewers”) and the authors, with the reviewer comments being followed by the author responses. For instance, the “1st round of review” begins with the initial comments from the reviewers and the authors’ responses to those comments, the 2nd round of review consists of the next batch of reviewer comments and the authors’ responses to them, and so on. In our analysis, we focus on the authors’ usage of second-person pronouns in addressing the reviewer team in the first review-response-review process (i.e., reviewer comments in the 1st round, author responses in the 1st round, and reviewer comments in the 2nd round). We focus on this process because it constitutes most of our observations (25,679, or 88.11% of 29,144 review rounds) and, more importantly, affords a difference-in-differences (DID) design, which we elaborate below. Figure 1 illustrates our focal data and study design (full details regarding the number of papers and rounds of review can be found in Supplementary Note 1 ).
The treatment group and control group are defined by whether the authors responded to reviewers’ comments using second-person pronouns in the 1st round of review (i.e., between the 1st and 2nd round reviewer comments).
In examining the impact of “you” usage, it is important to consider some distinctive features of the peer review process. As an illustration, Fig. 2 shows the authors’ response to the reviewers in the 1st round of review (marked by the vertical dashed line), as well as the number of questions reviewers posed before and after this response (i.e., question counts in the 1st and 2nd review rounds). We then compare question counts following both “you” and non-“you” usage in a quasi-experimental fashion. Specifically, we categorize a paper into the treatment group if its authors used “you” in their 1st-round responses (which, in our context, can be considered as the treatment administered to reviewers), and the control group if they did not. Note that the treatment and control groups here are not in the strict experimental sense, as the papers are not randomly assigned to them.
Numbers herein represent mean values in the raw data and are not adjusted for any control variables or fixed effects. Supplementary Fig. 1 illustrates the distribution of the number of questions (and of words) across four scenarios as yielded by the (author “you” usage: yes vs. no) x 2 (round of review: before vs. after author response) DID design. We also direct interested readers to Supplementary Note 2 for further insights into data patterns related to “you” usage.
Importantly, as illustrated in Fig. 2 , to estimate the effect of “you” usage, it could be misleading to simply contrast the number of questions reviewers raised after the author responses with “you” (5.82) and without (4.25). This is because empirically, the treatment and control groups may begin with different question counts (which happens to be the case in our data—29.87 and 24.30, respectively, as per Fig. 2 ). To offset this initial discrepancy, we instead measure the decline in question count from the 1st to the 2nd round. Specifically, authors who used “you” saw a decrease of 24.05 questions in the subsequent round, while those who did not use “you” saw a decrease of 20.05.
Here, the control group reduction of 20.05 questions reflects a “natural” progression in our data, such that question count dwindles as the review process progresses, regardless of whether the author used “you” (see Fig. 2 ). On the other hand, the treatment group reduction of 24.05 also encompasses our focal effect of “you” usage, in addition to the overall trend. Therefore, the difference between the two reductions provides a relatively precise estimation of the effect of “you” usage. Specifically, compared to the control group, the treatment group experienced a steeper decline in question counts (by a margin of 4).
This approach to estimating the effect of “you” usage constitutes a DID framework, a quasi-experimental method widely used in observational data analysis. Specifically, the first “differences” here are the differences in question counts before and after author response, within both the treatment and control groups. These differences serve to offset initial discrepancies between the groups. The second “difference” then contrasts these two differences to estimate the effect of “you” usage—hence the name “difference-in-differences.”
As depicted in Fig. 1 , during the 1st round of review, authors of 5042 papers (37.74% of all 13,359 papers) used “you” in their responses to the reviewer comments (i.e., treatment group), whereas authors of 8317 (62.26%) papers did not use “you” (i.e., the control group). We then estimate the effect of “you” on various behavioral and psychological outcomes by comparing the average change in such outcomes before and after a response with “you” versus without “you”. In what follows, this DID model enables us to examine more closely the effect of “you” usage on total number of questions from the reviewers, total length of reviewer comments, and positivity/negativity of the 2nd-round reviewer comments.
In addition, we also employ this DID model to examine the impact of “you” usage on how personal and engaging the reviewer-author communication is. Measurements of interest include the subjectivity of the language used in the reviewer comments, the frequency of reviewers’ use of first-person pronouns, the complexity of the vocabulary used by the reviewers, and the extent to which the reviewers engage with the authors.
Equation ( 2 ) in the Methods section formulates the DID model summarized above. To ensure the robustness of our analysis, a variety of control variables are also included in this model. The summary statistics of our dependent and control variables are presented in Table 1 .
Table 2 summarizes the DID estimates on two review outcomes: the total number of questions the reviewer raised, and the total number of words the reviewer wrote. The first non-header row is of particular interest, as it reports the DID estimator, or the effect of the interaction between “you” usage and time (i.e., before vs. after the author’s response).
In Column (1), the significant, negative coefficient (−4.0019) indicates that “you” usage has a negative effect on the total number of questions the reviewer asked. Specifically, when exposed to “you” (vs. non-“you”) author response in the 1st round of review, reviewers raised fewer questions in the 2nd round ( t (25675) = −10.01, p < 0.001, B = −4.00, 95% CI = [−4.79, −3.22]). This result remains robust when the control variables (see Table 1 ) and paper fixed effects are included in the DID model (“you” usage sees 3.34 fewer questions; t (12319) = −9.40, p < 0.001, B = −3.34, 95% CI = [−4.03, −2.64]; Column (2)). Similarly, reviewers addressed by “you” (vs. non-“you”) language also wrote 172.15 fewer words as estimated by the basic DID model ( t (25675) = −9.54, p < 0.001, B = −172.15, 95% CI = [−207.50, −136.79]; Column (3)), or 135.59 fewer words when the control variables and paper fixed effects are included ( t (12319) = −9.36, p < 0.001, B = −135.59, 95% CI = [−163.98, −107.20]; Column (4)).
In addition, we find that authors using “you” also receive more positive (and less negative) reviewer comments during the review process. To assess positivity in a reliable and robust manner, we employed multiple widely-adopted automated text analysis techniques to analyze the reviewer comments (see Sentiments of Reviewers’ Comments in the Methods section for more details on these measurements).
Table 3 summarizes the corresponding DID estimates, with control variables and paper fixed effects included. Columns (1) and (2) reflect the positivity of reviewer comments employing the Python package TextBlob and R package sentimentr, respectively. Columns (3) and (4), on the other hand, assess the negativity of reviewer comments employing the Python package NLTK and a hand-coded lexicon of common negative words, respectively. As indicated in the first non-header row of Table 3 , the findings are consistent across all measurements of review positivity/negativity, such that authors’ use of “you” in the 1st round is significantly associated with increased positivity and decreased negativity of the reviewer comments in the 2nd round.
To further validate these findings, we conducted six additional robustness checks, the detailed results of which are reported in the Supplementary Information for succinctness. To briefly summarize: First, we demonstrate that more “you” usage is associated with a stronger effect on the variables above (Supplementary Note 4 and Supplementary Table 3 ). Second, to construct a cleaner treatment group, we included a paper in the treatment group only when its “you” usage is conversational (as opposed to courteous; e.g., “thank you”). Of all 5042 “you” papers, 1847 (36.63%) contain only courteous “you,” and are thus excluded from analysis during this robustness check (Supplementary Note 4 and Supplementary Table 4 ). Third, to construct a cleaner control group, we only included a paper in the control condition if it explicitly addresses the reviewer in third person (e.g., “the reviewer”; Supplementary Note 4 and Supplementary Table 5 ). Fourth, we employed a matching technique (propensity score matching, PSM) to obtain matched treatment and control groups with comparable observable characteristics (Supplementary Note 4 ; Supplementary Tables 6 , 7 ; Supplementary Fig. 3 ). Fifth, we employed a two-stage Heckman model (Supplementary Note 4 ; Supplementary Tables 8 , 9 ) to capture authors’ “you” usage in response to the initial use of “you” by reviewers. In doing so, we allow for a more reciprocal, dynamic view of the impact of “you.” Sixth, to further account for the non-randomness in “you” usage, we employed placebo (non-parametric permutation) tests to validate that our DID findings are not spurious (Supplementary Note 4 and Supplementary Fig. 4 ). Our results remain robust to all these robust checks.
Thus far, we have demonstrated that addressing reviewers as “you” is associated with fewer questions and less writing from the reviewers, as well as more positive and less negative reviewer comments. In postulating the underlying mechanism of the effect, we contend that addressing the other party in second person is also associated with a more personal and engaging conversation, which is in turn responsible for these marked effects on the review process. Below, we examine several potential indicators of personal and engaging conversations to test this hypothesis employing the same DID model.
A potential indicator is the subjectivity of reviewer comments—the extent to which comments reflect personal opinions rather than factual information 33 . High subjectivity in language indicates that the text or utterance is more opinionated and personal (as opposed to factual and unbiased) in nature. The usage of subjective languages is a marked feature of interpersonal conversations 34 , 35 , 36 , 37 . We assess language subjectivity using the Python package TextBlob 38 (see Supplementary Note 5 for method details, and Supplementary Fig. 5 for the most frequently used words in our data indicating subjectivity). However, our prediction that authors’ “you” usage is associated with increased subjectivity in reviewer responses does not reach the 0.05 level of significance (see Column (1) in Table 4 ).
One evidence of a more personal and engaging conversation involves first-person pronoun usage. In our data, authors’ “you” usage is associated with reviewers’ decreased usage of first-person singular pronouns (e.g., “I,” “me,” “my”; see Column (2) in Table 4 ), which can indicate self-focused attention 25 , 26 , 27 , 28 . On the other hand, there is no statistically significant difference for first-person plural pronouns (i.e., “we,” “us,” “our”), which often indicate a communal focus 39 (Supplementary Note 6 and Supplementary Table 12 ). This result suggests that following authors’ “you” usage, reviewer may show less self-focus, hence making fewer “I” statements.
Additional evidence of a more personal conversation is found in word complexity. A reviewer comment is more complex if the words in it contain more syllables on average. We find that authors’ second-person pronoun usage is associated with decreased word complexity in reviewer comments (see Column (3) in Table 4 ). This result suggests that the reviewers, when addressed using second-person pronouns, favored more plain, readable language over complex and formal written language, a choice often made to facilitate a conversation 29 , 30 , 31 , 40 , 41 .
Yet more evidence of personal, engaging conversation is found by employing the text mining technology Latent Dirichlet Allocation (LDA), which identifies the hidden topics in reviewer comments that may potentially indicate reviewers’ engagement with the authors. R package topicmodels was applied on reviewer comments of 1st and 2nd round, and revealed 40 hidden topics at optimal best model fit (see Supplementary Note 7 and Supplementary Fig. 6 ). Here, we focus on one topic (topic 11) that consists of numerous words reflecting communication and engagement during the review process (Fig. 3 ). All 40 identified topics and their top 10 marker words are displayed in Supplementary Note 7 and Supplementary Fig. 7 . The distribution of document-level topic proportions within the chosen topic (i.e., reviewer engagement) is presented in Supplementary Note 7 and Supplementary Fig. 8 .
Clustered into the engagement topic are words such as “address,” “revise,” “concern,” and so on.
We measure the engagement level of a review comment by the frequency of words associated with the identified engagement topic. This frequency is equal to the probability of a review containing the engagement topic, multiplied by the total word count of said review. We find that the topic of engagement appears significantly more frequently in reviewer comments if “you” was used (vs. not used) by the authors. This result again suggests that the use of “you” may have triggered greater engagement in the subject matter of the paper (see Column (4) in Table 4 ). We further experimented with alternative LDA models with 35 and 45 topics, as well as the use of a subset of “high-engagement” words (e.g., “exciting,” “interesting,” and “enjoy”; see all 116 words in Supplementary Note 8 and Supplementary Table 15 ) and the adoption of a structural topic model 42 , 43 . In all alternative models, we obtain results consistent with our predictions (see Supplementary Note 7 and Supplementary Table 13 ). However, no statistically significant difference was observed between the treatment and control groups when the selected topic of reviewer engagement was replaced with other, unrelated topics (see Supplementary Note 7 and Supplementary Table 14 ).
If an author’s “you” usage can render conversations more personal and engaging, it follows that this effect should grow even stronger when both parties employ “you” to address each other. In this section, we examine how both parties’ “you” usage jointly impacts indicators of a personal and engaging conversation. This addition of reviewer usage of “you” into our analyses yields a difference-in-difference-in-differences (DDD) model. This DDD model is best viewed as splitting our original DID model into two separate yet comparable DIDs: one with reviewers who used “you” in the 1st round and the other without. This design thus allows us to examine the impact of reviewers’ “you” usage by contrasting the two separate DID models. Indeed, as demonstrated in Supplementary Note 9 , Supplementary Tables 16 , 17 , we find that when the reviewer initiates a “you” (vs. non-“you”) conversation in the first place, most of our DID (save for subjectivity) yields a larger effect size. In other words, the effect of “you” usage is the most evident when both parties use “you” language. Table 5 formally compares the effects of the two DIDs, forming a third differential impact based on reviewers’ initial “you” usage. The spirit of our analysis echoes that of Kenny and colleagues’ seminal work on dyadic data analysis, which factors the role of both parties into the analysis 44 , 45 .
Recall that author’s usage of “you” is sufficient to elicit significant behavioral consequences (i.e., question numbers, word counts, positivity, negativity), irrespective of whether the reviewer used “you” first or not (refer to Supplementary Note 9 ; Supplementary Tables 18 , 19 ). What we attempt to demonstrate here is the amplifying effect of mutual “you” usage on our mechanism—that is, creating a personal, engaging conversation.
Note that although the focus of this research lies in authors’ “you” usage, our DDD model, together with the previously discussed Heckman Model, affords a reciprocal perspective into how reviewers’ “you” usage also impacts the author. Specifically, reviewers’ “you” usage can not only stimulate authors’ “you” usage (Heckman Model) but also strengthen the contribution of “you” usage to boosted engagement (DDD). Also note that our DDD analysis can also cascade into the remaining rounds, and we direct interested readers to Supplementary Note 2 for more information.
Additionally, we report DDD results for number of questions, number of words, positivity, and negativity in Supplementary Tables 18 , 19 . Although the DID effect sizes are generally larger when reviewers used “you” in the 1st round, these DDD results are not statistically significant.
The above analyses provide converging evidence that “you” usage is associated with more personal and engaging communication. However, secondary data have a limited capacity for establishing psychological mechanisms and, crucially, causality. To address this, we conducted a controlled, pre-registered ( https://aspredicted.org/9yw2f.pdf ) experiment to supplement our field data. In this study, 1601 participants were asked to play the role of reviewers and evaluate an author’s response. Of all participants, 901 (56.3%) self-identified as female, 676 (42.2%) as male, and 24 (1.5%) as non-binary or chose not to disclose their gender; M age = 41.9 years.
Participants were randomly assigned to one of two conditions, in which they were addressed by the author using either “you” or non-“you” language. Participants then responded to a battery of questions regarding the author’s response. Detailed design and procedures are outlined in the Methods section. Key findings are summarized below, while secondary analyses are available in Supplementary Method 1 .
First, an ANOVA reveals that participants addressed with “you” rated the author’s response more positively ( M = 5.77, SD = 0.98) than did those who were not (M = 5.61, SD = 1.01; F (1, 1599) = 10.62, p = 0.001, Cohen’s d = 0.16, 95% CI = [0.06, 0.26]). Furthermore, “you” (vs. non-“you”) usage also led participants to perceive their exchange with the author as more personal and engaging ( M = 5.13, SD = 1.10 vs. M = 4.76, SD = 1.24; F (1, 1599) = 40.78, p < 0.001, Cohen’s d = 0.32, 95% CI = [0.22, 0.42]). Figure 4 illustrates these findings.
a Participants addressed with “you” (vs. non-“you”) rated the author’s response more positively. b Participants addressed with “you” (vs. non-“you”) found their conversation with the author more personal and engaging. Individual data points are shown using overlaid dot plots. Error bar shows ±1 SE.
Second, a mediation analysis shows that the relationship between “you” usage and positivity is fully mediated by participants’ perception of an personal and engaging communication (unstandardized indirect effect = 0.19, SE = 0.03, 95% CI = [0.14, 0.26]; 5000 bootstrap resamples).
Taken together, “you” usage indeed makes the reviewer–author communication more personal and engaging, which in turn leads to more positive reviewer comments. To further validate these results, we also replicated the main effects and the mediation effect above in a separate sample ( N = 1200) employing the same experimental design. In this second experiment, we also find that these findings cannot be attributed to alternative processes such as contention, personal connection, or obligation. Refer to Supplementary Method 2 for detailed results.
This work examines the correspondence in the peer review process and finds that when author responses use (vs. do not use) second-person pronouns (e.g., “you”), reviewers ask fewer questions, provide briefer responses, and offer more positive and fewer negative comments. Both lab and field evidence converge to demonstrate that this is the case because “you” (vs. non-“you”) usage fosters a more personal and engaging conversation.
An apparent practical implication of this work is, of course, that authors of academic papers can employ second-person pronouns strategically during the review process to their benefit. However, we believe that our findings extend beyond academic contexts and could be relevant for other forms of (formal) written communication. For example, businesses might utilize “you” in their marketing materials to nudge consumer attitude; likewise, professionals or politicians could use “you” to foster greater engagement. While the effectiveness of these applications requires further empirical validation, the real-world implications of our findings prove both intriguing and potentially impactful.
Conceptually, our study first contributes to the broad literature on language usage, particularly pronoun usage. Researchers have long known that nuances in language use matter. For example, the presence or absence of future tense in a language affects its users’ future orientation 6 , and word choice can signal political stance 46 . Within this field, pronoun usage has fascinated theorists for decades, as it can reflect individuals’ mental states such as narcissism 27 or lead to various mental processes or behaviors (such as introducing independence/interdependence self-construal) 47 , 48 . Recent technological advancements have significantly fueled research on pronoun usage, enabling the collection of large amounts of data from various online platforms 49 , 50 , 51 .
With respect to second-person pronouns, while their usage has been studied in unidirectional, one-off communication 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , understanding “you” usage in dynamic, bilateral, reciprocal contexts remains critical. Thus far, important work has explored the bilateral usage of “you” in close relationships 4 , 15 , 16 , 17 . Additionally, methods like the Actor-Partner Interdependence Model have further enriched our understanding of communications between comparable parties 44 , 45 . Nonetheless, current insights into mutual “you” usage are mostly confined to close relationships whose parties are of relative equal stations. Hence, there remains a need to explore more diverse contexts such as familial, professional, or adversarial communications, particularly those between unequal parties like superiors and subordinates, professors and students, or, in our case, reviewers and authors. Extant work has shown, for instance, that high-power individuals tend to use “I” less often, instead favoring more “we” and “you” usage 52 . In a similar vein, our study enriches our understanding of “you” usage in two-way communications that are both professional and hierarchical.
Moreover, by revealing the link between language and review outcomes, we contribute to the emerging field of science of science, which scientifically probes the practice of science itself 53 , 54 . Regarding the peer review process, several often-overlapping science of science sub-fields, such as bibliometrics, scientometrics, and metascience, have accumulated important insights into how scientific publication works, what potential biases exist, and how to ensure rigorous, transparent outcomes 55 , 56 , 57 . Through the present work, we underscore that perspectives and methods of language study can bear promising fruit in science of science, and we contribute to the few extant works that have already begun to explore this front (finding, e.g., that scientific papers often use generic, overgeneralized language that signals impact at the cost of precision) 5 .
Several limitations in our data should be noted. To begin, the lack of pre-1st-round reviewer comments prevents direct verification of the parallel trend assumption for DID analysis. As a result, the randomness of “you” and non-“you” usage poses a limitation in our data (we have, however, employed such methods to address this issue as PSM, Heckman model, permutation test, and behavioral experiment). Moreover, our dataset comprises only papers eventually published, leading to potential selection biases due to the absence of review reports from rejected submissions or those authors opted not to pursue. Additionally, since publishing review correspondence in Nature Communications was optional before November 2022, our data (April 2016 to April 2021) only include authors who opted for publication. These limitations could hinder our ability to analyze “you” usage in, say, more conflictual communications, despite its well-established potential to convey confrontation (e.g., challenging, blaming, or finger-pointing) 2 , 16 , 17 , 58 . Likewise, selection biases in our data also prevent us from comparing “you” usage in accepted versus rejected manuscripts, or between authors who did versus did not choose to publish their review records. Thus, we encourage future research to explore diverse datasets to expand on our findings.
Furthermore, in this study, we interpret the decreased “I” usage by reviewers following authors’ “you” usage as indicative of a reduction of self-focused attention. However, we recognize the complexities around this inference 59 , as “I” language may also signify language concreteness 1 and self-disclosure 15 , contributing to a more personal conversation. While this alternative account is unlikely to contradict our findings due to extensive triangulation, we nevertheless call on future research to delve deeper into first-person usage in written communication.
This research is approved by the Office of Research and Knowledge Transfer at Lingnan University and complies with all pertinent ethical regulations.
We sourced peer review data for all papers from April 2016 to April 2021 directly from Nature Communications . Each paper’s Supplementary Information section typically hosts its peer review file, which we downloaded using a custom Python (v3.7) script. These files, originally in PDF format, include both reviewer comments and author responses. To create a paper-level peer review dataset, we first separated reviewer comments from author responses for every review round and created separate TXT files for both. We then generated the variables used in our analysis for each paper by review round employing text mining techniques.
To construct the panel data for studying our proposed effects, we employed several automated text analysis techniques to generate desired variables. Specifically, we leveraged Python packages such as TextBlob and NLTK, as well as R packages including sentiments and topicmodels. These methods are well-established in the fields of natural language processing and computer science and are widely adopted in social science studies.
We generated the following four sentiment metrics for reviewer comments. Two of these capture positivity, while the other two capture negativity.
Positivity is also known as “polarity” in Python and calculated by the TextBlob Python package. TextBlob calculates how positive a reviewer comment is on a scale ranging from −1.0 (highly negative) to 1.0 (highly positive). This calculation is enabled by TextBlob’s built-in lexicon, which contains a collection of words and their part-of-speech meanings.
Using the sentimentr package in R, we gained an alternate metric of review positivity, which is also gauged on a −1.0 (highly negative) to 1.0 (highly positive) scale.
Utilizing Python’s NLTK package, we derived the negativity of a review. This approach leverages the VADER (Valence Aware Dictionary and Sentiment Reasoner) sentiment analyzer to evaluate each review’s negative emotion scores on a 0 (not negative at all) to 1 (very negative) scale.
Following Delgado et al. 60 , we incorporated the 30 negative words most frequently employed by our sampled reviewers. We also introduced other negative words that recurrently appeared in our dataset, resulting in a compilation of 92 negative terms. To measure negativity, we determined the occurrence rate of these negative words (scaled by dividing by 100). The scale thus starts at 0 (not negative at all) and increases by 0.01 (or 1%) each time one of the 92 negative words is used.
The following four variables serve as indicators of a personal and engaging conversations:
Assessed using the TextBlob Python package, again using its built-in lexicon. This measure scales from 0 (very objective) to 1 (very subjective). For illustrative examples of varying subjectivity in reviewer comments, see Supplementary Note 5 and Supplementary Table 10 .
Quantified by counting occurrences of terms like “I,” “me,” “my,” and “mine” within a reviewer report.
Captured by the average number of syllables per word in a peer review report. More syllables per word indicates a more complex vocabulary. For examples of complex and simple words, refer to Supplementary Note 5 and Supplementary Table 11 .
Deduced from the proportion of the “engagement topic” in a reviewer report. This proportion is obtained by employing the Latent Dirichlet Allocation (LDA) model, a well-established method in natural language processing that uncovers latent topics within a collection of texts.
In our context, the texts in question are the reviewer reports. The LDA model assumes that each report comprises several topics (with the combined probability of all topics being 1) and that every topic is a discrete probability distribution over all words. By implementing the LDA model with a predetermined number of topics, document–topic and topic–word pairs can be formed based on the words included in each reviewer report, allowing us to identify latent topics.
To implement the LDA model, we followed a data preprocessing approach similar to those used in recent studies 61 . Initial steps involved the removal of stop words (e.g., “and,” “or”), numbers, and punctuation. We also use stemmed and lower-case words for consistency. We then employed the R package topicmodels to assess the model performance and estimate an appropriate number of topics. Specifically, after experimenting with topic counts ranging from 10 to 100 (at 10-topic intervals), we determined 40 to be the optimal number in that it has the lowest perplexity score. With topic number set to 40, the engagement level was subsequently formulated as:
where % of engagement topic is the probability or proportion of the engagement-related topic in the review text calculated by the LDA analysis. Number of words in the reviewer report is the total word count in each review text.
We employ the difference-in-differences (DID) model to identify the impact of second-person pronouns on various outcome variables of interest. Specifically, we estimate the following model:
Where \({y}_{{it}}\) represents the outcome variable of paper i in round t . Response_with_you it denotes whether the author(s) of a paper responded with “you”, taking the value of 1 if the response includes “you” and 0 otherwise. After_response it denotes whether the observation period is after the response, taking the value of 1 if so and 0 otherwise. X it is a vector of controlling variables of a paper, including (1) the number of pages 62 ; (2) the number of references 63 ; (3) the title length; (4) the number of authors 64 ; (5) H-index of the first author 65 ; (6) the gender of the first author 61 ; (7) the last initial of the first author 66 ; (8) the positivity of authors in the 1 st round of review; (9) the friendliness of authors in the 1st round of review; (10) the positivity of reviewers in the 1st round of review; (11) the month the paper was published 67 ; (12) the year the paper was published 67 ; and (13) the discipline to which the paper belongs ( Nature Communications identifies five disciplines: biological sciences, physical sciences, health sciences, earth and environmental sciences, and scientific community and society). \({\delta }_{i}\) is the paper fixed effects, controlling for the potentially unobserved paper-level factors. \({\varepsilon }_{{it}}\) is a random error term. The coefficient β 1 is our coefficient of interest, examining the differential effects of responses with and without “you” (on various outcomes) before and after the response. We find that the residuals for DID models approximate a normal distribution, and the variance of the residuals is stable across different levels of the independent variables, as exemplified in Supplementary Fig. 9 .
The behavioral experiment was pre-registered on April 28, 2023 (Pacific Time) with AsPredicted ( https://aspredicted.org/9yw2f.pdf ). Here, we disclose a total of two deviations from the pre-registration protocol. First, the reported mediation analysis was not originally included in the protocol and was added in response to a review comment. Second, the actual sample size exceeded the pre-registered target by one participant, as explained below.
We recruited 1601 Amazon Mechanical Turk panelists via the CloudResearch platform, who participated in the study for monetary compensation. No statistical method was used to predetermine sample size. All participants provided informed consent before participating in the study.
The pre-registered target sample size was 1600. However, due to CloudResearch’s process for determining sample size, which is outside our control, the study eventually yielded 1601 participants. This deviation was anticipated and noted in our pre-registration.
The participant gender distribution is as follows: Of all 1601 participants, 901 (56.3%) self-identified as female, 676 (42.2%) as male, and 24 (1.5%) as non-binary or chose not to disclose their gender. While we did not plan for a priori gender-based analysis, we have included the results of post hoc analyses in Supplementary Method 1 , in compliance with the editorial policies of the Nature Portfolio (as of November 12, 2023).
Our pre-registration dictates that data would be excluded from analysis if flagged as fraudulent by Qualtrics, the survey platform used for our study. However, Qualtrics’ Expert Review function did not detect any fraud that would warrant data exclusion. Consequently, no data were excluded from the analyses.
After providing informed consent, all participants were asked to read a brief introduction to the peer review process. The introduction read “Peer review is a process all academics need to go through if they want to get their research work published. When a researcher submits a research paper to an academic journal, the paper is subject to an independent assessment by other field experts called the reviewers (whose role we ask you to play here).”
All participants were then asked to imagine that they had recently reviewed a manuscript for an academic journal. To provide sufficient realism, this hypothetical manuscript was very loosely adapted from a 2020 paper published in Nature Communications 68 , selected due to its subject matter being easily understandable for laypersons. Specifically, participants were told that “This work examines the possibility that people with more emotional experience (joy, anger, distress, etc.) also have richer emotional vocabulary (i.e., words describing states of emotions) in their language usage.”
All participants were then instructed to imagine that after reviewing the manuscript, they wrote the following comments to the author of the paper:
Overall, the paper presents an interesting theory and is well-written.
The studies included in the paper are well designed and the interpretation of data is generally convincing.
That being said, detailed criteria on what counts as “emotional vocabulary” are lacking. For instance, the usage of such words as “alone” or “bad” does not necessarily carry emotional connotations. As a result, the inclusion of such words in data analysis may prove problematic.
The contribution of the work is insufficiently elaborated. To this end, the paper needs to better explain why this work helps advance what the field already knows.
Note that no “you” language was presented in these comments.
All participants were then informed that they had now received the author’s responses. The responses were otherwise identical, save for how the participants (i.e., the reviewers) were addressed. By this design, participants were randomly assigned to one of the two conditions (i.e., “you” and non-“you”). Specifically, participants in the “you” [non-“you”] condition read:
We appreciate your [the reviewer’s] comments, which we find very useful. With regard to the questions you [the reviewer] raised:
You [The reviewer] advised us to provide details on how emotional vocabulary is determined. Building on your [the reviewer’s] advice, we now include a thorough discussion of your [the reviewer’s] concern over this issue, and lay out the selection procedure of those words in the manuscript.
In this discussion, we also address your [the reviewer’s] concern that some words are not applied solely to emotional experience.
You [The reviewer] suggested that the contribution of this work be differentiated from existing research. Following your [the reviewer’s] suggestion, we explain how this work advances the understanding of emotions and affective language.
As per your [the reviewer’s] recommendation, in this revision we also further elaborate the contribution of this work in the discussion section.
The participants were unaware of their assigned condition and were not cognizant of the existence of the alternate condition to which they were not assigned. The investigators, on the other hand, were not blinded to allocation during experiments and outcome assessment.
Participants were then prompted to evaluate the how personal and engaging they found the conversation to be on a 4-item, 7-point Likert scale (1 = strongly disagree; 7 = strongly agree; Cronbach’s α = 0.86): “In general, I find the conversation between the parties engaging,” “The author is engaging in a personal conversation with me,” “The correspondence between the reviewer and the author feels conversational,” and “I find the author personable.” Participants also rated the positivity of the author’s response on a single-item Likert scale “My overall impression of the author’s response is positive.”
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
All data necessary for reproducing the results presented in this paper have been deposited in OSF ( https://doi.org/10.17605/OSF.IO/XWYS4 ) 69 .
All code necessary to reproduce our analyses are available at OSF ( https://doi.org/10.17605/OSF.IO/XWYS4 ) 69 .
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C.C. is supported by the Research Grants Council of Hong Kong (13501722) and the Lam Woo Research Fund (F871223) at Lingnan University. Y.L. is supported by the Research Grants Council of Hong Kong (13503323), the Lam Woo Research Fund (LWP20020) and Faculty Research Grant (DB23A5) at Lingnan University, and the National Natural Science Foundation of China (72271060). C.M. is supported by the General Project of National Natural Science Foundation of China (72074045).
These authors contributed equally: Zhuanlan Sun, C. Clark Cao, Sheng Liu.
High-Quality Development Evaluation Institute, Nanjing University of Posts and Telecommunications, Nanjing, China
Department of Marketing and International Business, Lingnan University, Hong Kong, China
C. Clark Cao, Sheng Liu & Yiwei Li
School of Economics and Management, Southeast University, Nanjing, China
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C.M., Y.L., Z.S. and C.C. designed research; Z.S., C.C., Y.L. and C.M. performed research; Z.S., C.C. and S.L. collected and analyzed data; and Z.S., C.C. and Y.L. wrote the paper. All authors wrote, edited, and revised the manuscript.
Correspondence to Yiwei Li or Chao Ma .
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Sun, Z., Cao, C.C., Liu, S. et al. Behavioral consequences of second-person pronouns in written communications between authors and reviewers of scientific papers. Nat Commun 15 , 152 (2024). https://doi.org/10.1038/s41467-023-44515-1
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15 October 2009
Should you use “I” or “we” or neither in your thesis or paper?
Thoughts on this have changed over the years. Traditionally, using personal pronouns like “I” and “we” was frowned on. Instead of saying “In Section 3, I have compared the results from method X with those of method Y”, you were expected to write “In section 3, the results from method X are compared with those from method Y”. This is known as writing in the “passive voice” , and for many years it has been considered the “academic” way of doing things. I think it is favoured because of the tone of detachment and impersonality that it helps establish.
Sometimes the passive voice is awkward. For example
In studying ARIMA models, the effect of the estimation method on forecast accuracy was explored.
This is easier to express using “I”:
In studying ARIMA models, I explored the effect of the estimation method on forecast accuracy.
In my exponential smoothing monograph , one of the coauthors preferred to write everything in the passive voice, which led to some rather awkward phrasing. (I edited all chapters to consistently use “we” before it went to print.)
There are still some journals and research supervisors who insist that research writing must be in the passive voice. However, the situation is slowly changing and now many journals accept, or even encourage, the use of personal pronouns. The International Journal of Forecasting which I edit allows authors to use whichever approach they prefer.
A related issue for research students writing a thesis is whether to use “I” or “we”, especially when the material has previously appeared in a co-authored paper. In general, I prefer students to use “I” when they mean the author, as it is their thesis. (The royal “we” should only be used by monarchs.) However, it is very important to include a statement at the front of the thesis clarifying the role of co-authors involved with any parts of the thesis. If a chapter is essentially a co-authored paper, many universities require a signed statement from all authors.
One area where “we” is useful is in referring to the reader and author together. For example,
In the following theorem, we see that …
This is particularly common in mathematics.
In summary:
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Which personal pronoun is appropriate in single-author papers - 'I' or 'we'? Could the use of 'I' be considered egotistical? Or will the use of 'we' be considered to be grammatically incorrect?
Very rarely is 'I' used in scholarly writing (at least in math and the sciences). A much more common choice is 'we', as in "the author and the reader". For example: "We examine the case when..."
One exception to this rule is if you're writing a memoir or some other sort of "personal piece" for which the identity of the author is particularly relevant.
Now let me quote Paul Halmos (Section 12 of "How to Write Mathematics"):
One aspect of expository style that frequently bothers beginning authors is the use of the editorial "we", as opposed to the singular "I", or the neutral "one". It is in matters like this that common sense is most important. For what it's worth, I present here my recommendation. Since the best expository style is the least obtrusive one, I tend nowadays to prefer the neutral approach. That does not mean using "one" often, or ever; sentences like "one has thus proved that..." are awful. It does mean the complete avoidance of the first person pronouns in either singular or plural. "Since p , it follows that q ." "This implies p ." "An application of p to q yields r ." Most (all ?) mathematical writing is (should be ?) factual; simple declarative statements are the best for communicating facts. A frequently effective time-saving device is the use of the imperative. "To find p , multiply q by r ." "Given p , put q equal to r ."... There is nothing wrong with the editorial "we", but if you like it, do not misuse it. Let "we" mean "the author and the reader" (or "the lecturer and the audience"). Thus, it is fine to say "Using Lemma 2 we can generalize Theorem 1", or "Lemma 3 gives us a technique for proving Theorem 4". It is not good to say "Our work on this result was done in 1969" (unless the voice is that of two authors, or more, speaking in unison), and "We thank our wife for her help with the typing" is always bad. The use of "I", and especially its overuse, sometimes has a repellent effect, as arrogance or ex-cathedra preaching, and, for that reason, I like to avoid it whenever possible. In short notes, obviously in personal historical remarks, and perhaps, in essays such as this, it has its place.
You can download the pdf of Halmos' complete essay .
Authorial "we" is quite common, even in single author papers (at least in math and related fields). The explanation I've heard is that it should be read as both the writer and the reader (as in "we now prove...", meaning that we two shall now prove it together). Some people find it awkward, and insist on "I", but this is unusual (and I've heard of referees demanding "we"). In cases where "we" is truly nonsensical (for instance, introducing a list of people being thanked), people who avoid "I" either find an alternate phrasing or refer to themselves in the third person ("The author would like to thank...").
In single-author papers, I think consistency trumps any particular rule or style. As the Haimos essay suggests, you can achieve whatever style you choose; you just need to make sure that it makes sense.
For instance, don't switch back and forth between "I" and "we," or between active and passive constructions too close to one another. Make the use of "I" and "we" clear to indicate active participation in the project (for instance, for assumptions or approximations made, you choose that—unless it's something everybody does).
When not faced with a journal/publisher specific style, my go to style guide is APA. I really like the APA style blog. In this post they explain:
If you’re writing a paper alone, use I as your pronoun. If you have coauthors, use we.
They go on to lash out against the editorial we
However, avoid using we to refer to broader sets of people—researchers, students, psychologists, Americans, people in general, or even all of humanity—without specifying who you mean (a practice called using the editorial “we”). This can introduce ambiguity into your writing.
There is also another related post about using we and avoiding ambiguity.
There are already two good answers for this entry, one is also accepted. But I'm going to give my two cent answer anyway...
This is what I learned from a workshop on writing scientific texts. Basically, my suggestion would be avoid using either "we" or "I" in the whole paper, except the "Experiment and results" section 1 . The idea is that by using passive form in the text, you avoid both issues related to being egotistical or ungrammatical.
Then in the "Experiment and results" you use "We" 2 . Why not using passive form in "Experiment" section? Well, you could but the idea here is that these results can be produced by everyone, including readers. So "we" is not referring to author(s), but to author(s) and readers. 1. This might not be the case in fields that papers do not have an experimental section. 2. Once could object that this will result in inconstancy in paper which is a valid objection.
The " royal we " suggests a hypothetical population of peers who hold some position. This hypothetical population may-or-may-not include the reader, at the reader's option. And since it's a hypothetical population with a subjective number of members, " we " is appropriate.
Even if you're talking about a real-world action that you did to perform a specific experimental step, it's still accurate to describe the hypothetical population as having performed that action.
This approach has a few advantages:
It's easier for readers to put themselves into your shoes as a member of the population engaging in the study.
It avoids distracting the reader with inconsistent pronouns for the authors across papers.
It's field-dependent. English teachers told me the following:
In STEM you use "we" for "the reader and the author(s)", regardless of how many authors you have. (Note that the "royal we" would be the wrong term, since the authors don't wish to sound as ostentatious in "we, the king of ...".)
In languages, you use "I" if you are the sole author.
Not the answer you're looking for browse other questions tagged publications writing writing-style grammar ..
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Jae m. sevelius.
1 Center for AIDS Prevention Studies, Department of Medicine, University of California, San Francisco, CA 94158, USA; [email protected] (D.C.); [email protected] (S.E.D.); [email protected] (G.R.); [email protected] (T.B.N.)
2 Center of Excellence for Transgender Health, Department of Medicine, University of California, San Francisco, CA 94158, USA
Samantha e. dilworth, greg rebchook, torsten b. neilands.
Social interactions where a person is addressed by their correct name and pronouns, consistent with their gender identity, are widely recognized as a basic and yet critical aspect of gender affirmation for transgender people. Informed by the Model of Gender Affirmation, we developed a self-report measure of the importance of social gender affirmation, the Transgender Women’s Importance of Pronouns (TW-IP) scale, which measures gender affirmation through the usage of correct pronoun by others. Data were from self-administered surveys in two independent samples of transgender women living with HIV in the US (N1 = 278; N2 = 369). Using exploratory factor analysis with data from Study 1 and confirmatory factor analysis with data from Study 2, we obtained a four-item scale with a single-factor structure and strong reliability (α = 0.95). We present evidence of TW-IP’s convergent and discriminant validity through its correlations with select mental health and HIV-related measures. Further, scores on TW-IP were linked in expected directions to several hypothesized mental health and HIV care outcomes, demonstrating its predictive validity. The resulting brief measure of importance of pronouns among transgender women shows strong psychometric properties. Validation evidence offers highly promising opportunities for use of the measure in clinical and research settings.
Gender affirmation, in its broadest sense, refers to an interpersonal process whereby a person receives social recognition and support for their gender identity and expression [ 1 ]. The term ‘gender affirmation’ has become widely used to specifically describe the process whereby transgender individuals affirm their gender through social, legal, and/or medical pathways [ 2 ]. The construct of gender affirmation is situated within the larger Model of Gender Affirmation, which is informed by multiple theoretical frameworks, including intersectionality, objectification theory, and the identity threat model of stigma [ 1 ]. The Model of Gender Affirmation emphasizes that health disparities experienced by transgender people are rooted in intersectional stigma and underscores the importance of increasing access to all forms of gender affirmation as a means of reducing these health disparities. The Model of Gender Affirmation includes a range of hypothesized influences of gender affirmation on resilience, risk behavior, and engagement in healthcare.
Gender affirmation as a social process is inherently interactive, where one’s gender identity is affirmed through social interactions with others [ 1 , 3 ]. For example, social interactions where a person is addressed by their correct name and pronouns, consistent with their gender identity, are widely recognized as a basic yet critical aspect of gender affirmation. Social affirmation processes occur for cisgender people as well as transgender people; however, the term ‘affirmation’ is often associated with transgender and gender diverse people because they more commonly have experiences that are disaffirming [ 4 ]. These disaffirming experiences include being misgendered (e.g., addressed in a way that is inconsistent with one’s gender identity) through incorrect pronoun usage, for example, referring to a transgender woman as “he” when the woman’s “preferred” pronoun is “she”. However, transgender communities and their advocates have increasingly emphasized that pronoun use goes beyond “preference”, since “preference” implies that using the correct pronoun is simply “preferred” by the person and therefore optional [ 4 ]. Addressing someone by the wrong name or misgendering them through use of incorrect pronouns can feel disrespectful, harmful, and even unsafe to the person being misgendered, since misgendering results in marginalization and communicates that a person’s identity is not being seen or respected [ 5 ].
Positive experiences of social gender affirmation are critical to the health and well-being of transgender and gender diverse people. Greater social gender affirmation is associated with improved mental health and well-being among diverse groups of transgender and gender diverse adults and youth [ 3 , 6 , 7 ]. Social gender affirmation, when combined with healthcare empowerment, was associated with viral suppression among a large national sample of transgender women of color living with HIV in the United States [ 8 ]. Disaffirming experiences in healthcare settings, such as being misgendered using incorrect pronouns, can result from overt or implicit biases and lack of training among healthcare providers and staff, often leading to anticipation of stigma and the avoidance of healthcare among transgender people [ 5 ].
A primary obstacle to further exploration of social gender affirmation is a lack of psychometrically sound measures of the construct. We sought to develop a measure of the importance of social gender affirmation in alignment with the Model of Gender Affirmation and within the context of HIV-related health outcomes. We chose this context because extensive research has shown that active engagement in clinical care and high levels of adherence to antiretroviral treatment (ART) are essential for those with HIV to live longer, healthier lives. Transgender women living with HIV are impacted by disparities at every stage of the HIV care continuum [ 9 , 10 ].
The purposes of the current paper are to use secondary data from two large quantitative studies to (a) describe the development of the Transgender Women’s Importance of Pronouns (TW-IP) scale, a brief, self-report measure of gender affirmation through correct pronoun usage among transgender women living with HIV and (b) present evidence of the TW-IP’s relationship to variables that are hypothesized correlates as suggested by the Model of Gender Affirmation. These hypothesized correlates were informed by previous research and included variables related to hormone use, affect, and engagement in HIV care [ 6 , 8 , 11 ].
Item development: The potential items for this scale were developed as part of a qualitative study conducted to generate theory around the construct of gender affirmation. The recruitment methodology for that study has been described elsewhere, and included individual interviews with 22 transgender women of color to explore the impact of intersections of racism and transphobia on experiences of gender affirmation [ 1 ]. Interview transcripts were analyzed with Atlas.ti [ 12 ] using template analysis, a standard qualitative technique for identifying and organizing themes through the development of a coding template [ 13 ]. This technique is useful for analysis of qualitative data when some a priori themes are defined based on theory and/or the research questions of interest. In this case, the a priori themes were based on the theoretical framework of the Model of Gender Affirmation. Initial analysis led to the identification of thematic categories such as the need for gender affirmation and the importance of correct pronoun use, which were relevant to item development for the current study. The themes were then broken down into codes and modified as needed to reflect the language that the participants used to describe the constructs of interest (e.g., need for gender affirmation) to ensure that the coding template included culturally relevant language. This coding process yielded multiple dimensions of gender affirmation and generated an initial list of candidate items. Five of those items were relevant to the importance of correct pronoun use, which is the focus of this investigation.
These initial items were then tested using an iterative process involving two rounds of cognitive interviewing with 10 transgender women in the first round and 9 in the second round (total N = 19 unique participants). Cognitive interviewing is a technique used to improve the development of surveys by administering draft items while eliciting further information from the participants about their responses to the items [ 14 ]. Participants were asked to describe their understanding of each item and provide recommendations for improvement of the appropriateness, wording, and/or the ordering of items in the scale, as these issues arose. After the first round of cognitive interviews, the initial items were modified based on participants’ feedback, and then were further refined using the same technique in the second round of interviews. These final items were administered to participants in two larger quantitative studies as described below. The resulting items, including the five used for the current measure development, were administered to participants in two larger quantitative studies as described below.
Samples for the current analyses: Data used in the present analyses were from two independent samples of transgender women living with HIV, who participated in two distinct studies (hereafter referred to as Study 1 and Study 2).
Study 1—Study 1 was a randomized controlled trial of a theory-driven, population-specific intervention (“Healthy Divas”) conducted in San Francisco and Los Angeles, CA to improve engagement in care for transgender women living with HIV (Unique Protocol ID: NCT03081559). Grounded in models of Gender Affirmation and Health Care Empowerment, the intent of the study was to test the efficacy of an intervention designed to systematically intervene on complex barriers to optimal engagement in HIV care for transgender women living with HIV. Participants ( N = 278) provided self-administered behavioral survey data at baseline and follow up visits. The current analysis utilizes the baseline data.
Study 2—As part of an initiative titled Enhancing Engagement and Retention in Quality HIV Care for Transgender Women of Color, nine demonstration sites across four urban centers in the US—Chicago, New York, Los Angeles and San Francisco Bay Area—developed and implemented innovative interventions to engage and retain transgender women of color living with HIV, in quality HIV care; an additional site provided technical assistance to the sites and evaluated the interventions [ 15 ]. Participants completed a self-administered survey at baseline and follow-up visits. The current analysis utilizes the baseline data. Since the communities of transgender women are small and tightly knit, many participants within California were common to both studies. Therefore, to ensure that the two samples consisted of non-overlapping participants for these analyses, we excluded from Study 2 all the participants recruited at the California study sites. We also excluded participants ( n = 3) who did not respond to any of the items in the scale being developed, resulting in a final sample of 369 transgender women from Study 2.
Study 1—Between November 2016 and October 2019, participants were recruited from community-based organizations, social networks, and local venues frequented by transgender women. Participants were eligible if they were 18 years or older; were assigned male sex at birth but identified as transgender female, female, or another transfeminine identity; were confirmed to be living with HIV (either via medical documentation or an HIV rapid test); and were fluent in English or Spanish. After obtaining informed consent, we collected baseline data via a self-administered survey using CASIC data collection software [ 16 ]. Survey questions included detailed information on participants’ health care, sexual risk, and their attitudes and behaviors around HIV care, ART medication adherence, stigma, and gender affirmation. To compensate for their time, participants received USD 40 for the baseline study visit, including eligibility screening. All participants gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki. The study was approved by the Institutional Review Board at the University of California, San Francisco (15-17910), and the Western Institutional Review Board (20181370).
Study 2—Between December 2013 and August 2016, participants were recruited using a variety of strategies including community outreach, networking, word-of-mouth, publicity materials, and referrals from clinics and other service providers. Participants were eligible if they were 16 years or older, assigned male sex at birth but identified as transgender or female, were living with HIV, and were fluent in English or Spanish. After obtaining informed consent, the participants completed a self-administered baseline survey in REDCap [ 17 ]. The survey covered topics such as their HIV care, health-related behaviors, and gender affirmation. To compensate for their time, participants received incentives between 25 and USD 50 across the sites. All participants gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki. The study was approved by the local Institutional Review Board at each of the study sites, and the evaluation project was approved by the Institutional Review Board at the University of California, San Francisco (12-09622).
Candidate items for the new TW-IP scale: Both studies’ surveys contained these five questions: “How important is it to you that strangers call you ‘she’ when talking about you?”, “How important is it to you that family members call you ‘she’ when talking about you?”, “How important is it to you that your friends call you ‘she’ when talking about you?”, “How important is it to you that health care providers call you ‘she’ when talking about you?”, “How important is it to you to have a driver’s license or ID that says you are female?”. The five-point Likert-type response options were: Not at all important, Slightly important, Moderately important, Very important, Extremely important.
Sample characteristics: To characterize the two samples, we used the following data from the surveys: age, race-ethnicity, education, experiences of homelessness in the previous six months, engagement in sex work as a source of income in the previous six months, financial security (‘currently’ for Study 1, ‘in the previous six months’ for Study 2), and history of recent incarceration (‘in the previous twelve months’ in Study 1, ‘in the previous six months’ in Study 2).
Feminizing hormone therapy: Participants reported whether they had ever taken hormones (0 = No, 1 = Yes) and whether they were currently taking hormones (0 = No, 1 = Yes).
HIV diagnosis and care: Participants reported whether they had been newly diagnosed with HIV in the previous six months, whether they had ever taken ART for the treatment of HIV (0 = No, 1 = Yes), and whether they were currently on ART (0 = No, 1 = Yes).
Additionally, we used data on the following study-specific measures from the two studies:
Positive and negative affect: Current positive and negative affect were measured using the 10-item International Positive and Negative Affect Schedule Short Form (I-PANAS-SF); the two subscales each utilized five items. Cronbach’s alphas for internal consistency were 0.88 and 0.84 for Positive and Negative Affect, respectively. Items asked the participant to rate the frequency of each emotion; five unipolar response choices spanned from 1 (Never) to 5 (Always). Sample item: “Thinking about yourself and how you normally feel, to what extent do you generally feel upset?”
HIV stigma: Stigma around HIV status was investigated using a 12-item scale that asked the participant to indicate the frequency of each feeling using one of four unipolar response choices ranging from 0 (Not at all) to 3 (Often). Cronbach’s alpha was 0.92. Sample item: “I’ve felt ashamed of my HIV”.
HIV treatment knowledge: Participant’s understanding of HIV treatment and medication was measured using the 16-item HIV Treatment Knowledge Scale [ 18 ]. The response choices were 1 (True), 0 (False), and 7 (Don’t know). The sum of the correct responses was used for analysis; Cronbach’s alpha was 0.89. Sample item: “Over-the-counter herbal pills (e.g., St. John’s Wort) could make HIV medications less effective.”
Treatment expectancies—Ease: One subscale—anticipated ease of taking ART—of a 13-item Treatment Expectancies scale [ 19 ], was investigated using the mean of four items asking participants to rate their agreement with each statement; Cronbach’s alpha was 0.74. Five Likert response choices ranged from ‘strongly disagree’ to ‘strongly agree’. Sample item: “Taking HIV medications on schedule would be easy for me”.
Experiences of traumatic events due to crime: Various experiences of having been a target of criminal acts, ex. Robbery, mugging were investigated. Endorsed experiences were summed for analysis. Sample item: “Has anyone ever tried to take something directly from you by using force or the threat of force, such as a stick-up or mugging?”
Perfect adherence to ART: Adherence to ART was measured by two items: (1) the Visual Analog scale (VAS) [ 20 ], where the participant was asked to estimate their ART medication adherence in the past 30 days on a line from 0 to 100%, and (2) Safren’s [ 21 ] Likert item, “Thinking back over the past 30 days, rate your ability to take all your medications as prescribed.” Six bipolar response choices for the Safren item span from 0 (Very poor) to 5 (Excellent). Adherence to ART was categorized as perfect if VAS adherence was equal to 100 and the participant responded with a 5 (Excellent) on the Safren item.
Number of sexual partners: Among detailed questions about sex behavior in the previous 3 months, participants were asked “How many sexual partners have you had in the past 3 months?”. Questions in this section were open ended.
Depression: Depression during the previous week was measured using a 10-item version of the Center for Epidemiological Studies Depression (CES-D) scale [ 22 , 23 ]. The Likert-type response options ranged from 0 (Rarely or none of the time (less than 1 day)) to 3 (Most or all of the time (5–7 days)). The scale scores were dichotomized for use in the predictive model (0: score less than 10, not depressed; 1: score of 10 or greater, depressed) [ 24 ]. Cronbach’s alpha for the interval-level depression score was 0.87. Sample item: ‘During the past week, I felt that everything I did was an effort.’
Suppressed HIV viral load: Participants were considered to be virally suppressed if their HIV viral load had been tested in the previous six months and they had an undetectable viral load at their last test. Thus, viral suppression was a binary variable (1: virally suppressed; 0: not virally suppressed).
First, we used SAS software version 9.4 (SAS Institute, Inc., Cary, NC, USA) [ 25 ] to compute the proportions, means and standard deviations to obtain the descriptive statistics for both study samples.
Exploratory Factor Analysis (EFA): Next, we used the data from Study 1 on the five potential items for the new scale to perform the EFA. In the initial item screening stage, M plus version 8.4 (Muthén & Muthén: Los Angeles, CA, USA) [ 26 ] was employed to determine the number of factors to keep using the scree plot as well as the following fit statistics: root mean square error of approximation (RMSEA ≤ 0.06), the comparative fit index (CFI ≥ 0.95), and the standardized root mean square residual (SRMR < 0.08) [ 27 ]. Item factor loadings as well as the underlying theory dictated their retention in the final EFA model. The Hull method available in FACTOR 10 was used to check the number of factors retained in the initial screening [ 28 ].
Confirmatory Factor Analysis (CFA): Next, we used the data from Study 2 and the factor structure from the Study 1′s EFA to perform the CFA using M plus version 8.4. In the Study 2 sample, 6.77% participants ( n = 25) had missing values on some but not all of the five candidate items for TW-IP. Therefore, while performing the CFA, we used multiple imputation within M plus with 250 imputed datasets [ 29 ]. We assessed the global model fit using the chi-square test of exact fit and the approximate fit using the following measures: the Root Mean Square Error of Approximation (RMSEA), Bentler’s Comparative Fit Index (CFI), and the Standardized Root Mean Square Residual (SRMR). Model-data fit is considered to be satisfactory if at least two of the following three conditions are met: RMSEA ≤ 0.06, CFI ≥ 0.95 and SRMR ≤ 0.08 [ 27 ]. Next, internal consistency reliability was estimated using Cronbach’s coefficient alpha using SAS PROC CORR (SAS Institute, Inc., Cary, NC, USA).
Convergent and discriminant validity: To evaluate these, we correlated the new scale with select measures of interest in the two studies. For convergent validity, we hypothesized that the new scale would be positively correlated with positive affect, negative affect, anticipated stigma for taking antiretroviral therapy (ART), and being on feminizing hormone therapy (ever and currently). On the other hand, for discriminant validity, we hypothesized that there would be no significant correlation of the new scale with knowledge of HIV treatment, anticipated ease of taking ART, experiences of traumatic events due to crime, and recent homelessness. These correlation analyses were conducted in M plus version 8.4.
Predictive validity: To evaluate this, we examined the bivariate association of the new scale with the following outcome variables from the two studies: being on ART (ever and currently), perfect adherence to ART, HIV viral suppression, depression, and the number of sexual partners. Since the number of sexual partners was a count variable, we performed negative binomial regression on it to obtain the incident rate ratio per unit change in the score of the new scale. The remaining outcomes were binary variables and we performed logistic regression on them to obtain the odds ratio per unit change in the score of the new scale. We hypothesized that higher scores on the new scale would be associated with greater odds (greater incident rate, in the case of number of sexual partners) of each of the outcomes. These analyses were conducted in SAS software V9.4.
Participant characteristics: The descriptive characteristics of the two study samples are shown in Table 1 . Participants in Study 1 were slightly older than those in Study 2 (mean age 43.5 years vs. 34 years in Study 2). Both studies were mostly composed of participants who were of Hispanic, Latina, or of Spanish origin (32.7% in Study 1 and 44.7% in Study 2) and participants who were non-Hispanic Black (45.3% in Study 1 and 51.2% in Study 2). The majority of participants in both studies had education levels that were grade 12 or lower, with similar levels of financial security and homelessness. Notably, a higher proportion of participants in Study 1 compared to those in Study 2 had ever taken ART (77.7% vs. 39.8%) and were currently on ART (68.7% vs. 37.4%).
Descriptive characteristics of participants in Study 1 ( N = 278) and Study 2 ( N = 369).
Characteristic | Study 1 | Study 2 | ||
---|---|---|---|---|
Age in years—mean (std. dev) | 43.5 | (10.7) | 34.0 | (10.8) |
(%) | (%) | |||
Race-Ethnicity | ||||
Hispanic, Latina, or of Spanish origin | 91 | (32.7) | 165 | (44.7) |
Black, non-Hispanic | 126 | (45.3) | 189 | (51.2) |
White, non-Hispanic | 19 | (6.8) | - | - |
Asian or Pacific Islander, non-Hispanic | 8 | (2.9) | 1 | (0.3) |
Additional, non-Hispanic | 3 | (1.1) | 1 | (0.3) |
Multiracial, non-Hispanic | 30 | (10.8) | 5 | (1.4) |
No response | 1 | (0.4) | 8 | (2.2) |
Education | ||||
Less than grade 12 | 78 | (28.1) | 122 | (33.1) |
Grade 12 | 109 | (39.2) | 144 | (39.0) |
Some college or higher | 91 | (32.8) | 86 | (23.3) |
No response | 0 | (0) | 17 | (4.6) |
Financially secure | 49 | (17.6) | 88 | (23.9) |
Experienced homelessness in previous 6 months | 114 | (41.0) | 163 | (44.2) |
Sex work as a source of income in previous 6 months | 50 | (18.0) | 133 | (36.0) |
Incarcerated recently | 75 | (27.0) | 24 | (6.50) |
Currently taking hormones | 187 | (67.3) | 173 | (46.9) |
Newly diagnosed with HIV in previous 6 months | 30 | (10.8) | 97 | (26.1) |
Ever taken ART | 216 | (77.7) | 147 | (39.8) |
Currently on ART | 191 | (68.7) | 138 | (37.4) |
1 —Study 1: ‘Currently’, Study 2: ‘in the previous 6 months’; 2 —Study 1: ‘in the previous 12 months’, Study 2: ‘in the previous 6 months’; ART—Antiretroviral therapy for HIV.
Exploratory Factor Analysis of Study 1 data: The scree plot indicated one factor with an eigenvalue greater than 1.0, so the single-factor solution was chosen to model the items; two of the three fit statistics were achieved with one factor in M plus (CFI = 0.998, SRMR = 0.018) and the Hull method in FACTOR 10 also preferred one factor. All five items had factor loadings of 0.76 or greater and were retained (see Table 2 ).
Standardized factor loadings from factor analyses.
Question Text | EFA Loading (Study 1) | CFA Loading (Study 2) | 95% Confidence Interval of CFA Loading |
---|---|---|---|
( = 278) | ( = 369) | ||
How important is it to you… | |||
… that strangers call you “she” when talking about you? | 0.870 | 0.992 | (0.985–0.998) |
… that family members call you “she” when talking about you? | 0.851 | 0.948 | (0.933–0.963) |
… that your friends call you “she” when talking about you? | 0.932 | ||
… that health care providers call you “she” when talking about you? | 0.915 | 0.966 | (0.951–0.978) |
… to have a driver’s license or ID that says you are female? | 0.759 | 0.910 | (0.885–0.934) |
Notes: EFA factor loadings were estimated using FACTOR 10; CFA factor loadings and confidence intervals were estimated using M plus 8.4.
Confirmatory Factor Analysis of Study 2 data: On performing a CFA of the five-item factor structure indicated previously by the EFA using the 250 imputed datasets, the test of exact model-fit rejected the null hypothesis of exact model-data fit (χ 2 (5) = 14.09, p = 0.015). However, the approximate model-data fit met the criteria of two out of the three fit statistics being within desirable bounds (RMSEA = 0.07, CFI = 1.00, SRMR = 0.007). We noted the extremely high correlation (.988) between two items (“How important is it to you that your friends call you “she” when talking about you?” and “How important is it to you that health care providers call you “she” when talking about you?”). We therefore re-ran the CFA by dropping the first of these two items with the reasoning that one’s friends are usually most likely to use the correct pronouns and, as a result, retaining this item is unlikely to provide a high degree of additional useful information. During this second run, the fit statistics improved appreciably and indicated satisfactory exact and approximate model fit (χ 2 (2) = 1.43, p = 0.489; RMSEA = 0.008, CFI = 1.00, SRMR = 0.001). The final CFA factor loadings for the four items are presented in Table 2 ; the final scale is presented in the Appendix . The reliability was high for this four-item scale (α = 0.95).
Convergent and discriminant validity using Study 1 and Study 2 data: As hypothesized, the new scale was positively and significantly ( p < 0.05) correlated with positive affect, negative affect, anticipated stigma for taking ART, and being on feminizing hormone therapy both ever and currently ( Table 3 ). Further, as hypothesized, the new scale was not significantly correlated with knowledge of HIV treatment, anticipated ease of taking ART, experiences of traumatic events due to crime, and recent homelessness.
Correlations of Transgender Women’s Importance of Pronouns (TW-IP) with select study measures.
Measures | Data Source | Correlation | 95% Confidence Interval | -Value |
---|---|---|---|---|
Convergent Validity | ||||
Positive affect | Study 1 | 0.227 | (0.115–0.338) | <0.001 |
Negative affect | Study 1 | 0.154 | (0.039–0.269) | 0.008 |
Anticipated stigma for taking ART | Study 1 | 0.316 | (0.146–0.486) | <0.001 |
Ever on hormones | Study 2 | 0.208 | (0.108–0.307) | <0.001 |
Currently on hormones | Study 2 | 0.17 | (0.069– 0.271) | 0.001 |
Discriminant Validity | ||||
HIV treatment knowledge | Study 1 | 0.054 | (−0.063–0.171) | 0.369 |
Anticipated ease of taking ART | Study 1 | 0.014 | (−0.176–0.203) | 0.889 |
Experiences of traumatic events due to crime | Study 1 | 0.026 | (−0.091–0.144) | 0.66 |
Experienced homelessness in past 6 months | Study 2 | 0.059 | (−0.050–0.169) | 0.288 |
TW-IP—Scores on the Transgender Women’s Importance of Pronouns scale; ART—Antiretroviral therapy for HIV; Sample size: 278 (Study 1), 369 (Study 2). Correlations estimated using full information maximum likelihood (FIML) in M plus 8.4.
Predictive validity using Study 1 and Study 2 data: The results from the logistic regression of the new scale on select outcome variables showed a statistically significant positive association in each case ( Table 4 ). Specifically, higher scores on TW-IP were associated with higher odds of ever being on ART (OR = 1.28, p = 0.04), currently being on ART (OR = 1.25, p = 0.04), perfect adherence to ART (OR = 2.10, p = 0.02), HIV viral suppression (OR = 1.34, p = 0.003) and depression (OR = 1.26, p = 0.01). Similarly, the negative binomial regression demonstrated that higher scores on TW-IP were associated with a higher incident rate for the number of sexual partners (IRR = 2.27, p = 0.002).
Bivariate associations of TW-IP with select outcomes.
Outcome | Data Source | Odds Ratio | 95% Confidence Interval | -Value |
---|---|---|---|---|
Ever on ART | Study 1 | 1.278 | (1.013–1.616) | 0.039 |
Currently on ART | Study 1 | 1.249 | (1.010–1.546) | 0.041 |
Perfect adherence to ART | Study 1 | 2.104 | (1.141–3.880) | 0.017 |
Suppressed HIV viral load | Study 2 | 1.339 | (1.107–1.619) | 0.003 |
Depressed | Study 2 | 1.260 | (1.056–1.504) | 0.011 |
-Value | ||||
No. of sexual partners | Study 1 | 2.268 | (1.088–1.478) | 0.002 |
TW-IP—Scores on the Transgender Women’s Importance of Pronouns scale; ART—Antiretroviral therapy for HIV; Sample size: 278 (Study 1), 369 (Study 2). 1 —Calculated for participants on ART ( N = 191); 2 —Calculated for participants with non-missing scores for depression ( N = 343).
The results of the factor analyses and convergent validity analysis suggest that a single-factor structure of TW-IP fit the data well in the two research samples, and that importance of pronouns can be measured with a parsimonious four-item measure (see Appendix A for the final scale). We began with a five-item measure and found that the scale performed better with the “friends” item dropped, suggesting that the importance of correct pronoun usage by strangers, family, and healthcare providers is sufficient to measure the TW-IP construct. This finding may be because interactions with one’s friends are less likely to be disaffirming. We also included one item related to the importance of having a legal document (e.g., driver’s license) that reflects one’s correct gender marker. While this item overlaps with the construct of legal gender affirmation, we found that it aligned conceptually with the pronoun use items designed to measure social gender affirmation. This alignment may be because legal documents, especially those such as a driver’s license, are often used to identify oneself to others and must be presented in various social situations (i.e., airports, entrances to venues), thereby having a significant impact on whether a person’s gender is socially affirmed in those interactions.
As predicted by the Model of Gender Affirmation, scores on the TW-IP were linked in expected directions to hormone use and positive affect. Gender affirmation for transgender people is often associated with access to transition-related medical care, such as hormones and surgery, so the positive correlation between scores on the TW-IP and hormone use was not surprising. It is clear though, that social gender affirmation and medical gender affirmation are distinct, reflecting the fact that not all transgender women who deem it important to be addressed by the correct pronouns use hormones and vice versa. These findings highlight how transgender women who deem it important to be addressed by correct pronouns are engaging in self-affirmation and self-advocating for being socially affirmed, which are important indicators of self-determination and empowerment.
Scores on the TW-IP were associated with negative affect and expected stigma from taking ART. While we typically think of positive and negative affect as inversely related, in fact they often vary independently [ 30 ]. Transgender women with high scores on the TW-IP may be particularly susceptible to the negative impacts of microaggressions related to gender disaffirming experiences of being addressed by incorrect pronouns, thus resulting in parallel increases in negative affect and anticipated stigma. Exploration of several factors that were not hypothesized by the Model of Gender Affirmation to be associated with scores on the TW-IP included HIV treatment knowledge, expected ease of taking ART, experiences of traumatic events due to crime, and experiences of homelessness in the prior 6 months. The lack of association between TW-IP scores and these measures contribute to the establishment of discriminant validity of the TW-IP scale. Further, the TW-IP scale demonstrated important associations with hypothesized health outcomes and HIV-related risk behaviors, including ever having taken ART, currently taking ART, perfect adherence to ART, being virally suppressed, and number of sex partners.
The Model of Gender Affirmation explicitly acknowledges that the experiences, identities, and preferences of transgender and gender diverse people are not homogeneous. Several studies have shown that correct pronoun use is critical to successful engagement and retention of transgender people in health care and that incorrect pronoun use can result in healthcare avoidance [ 31 , 32 , 33 , 34 ]. However, to the best of our knowledge, no quantitative measure exists to capture the importance of correct pronoun usage among transgender people, and further, no quantitative studies have explicitly looked at the impact of pronoun use on social gender affirmation or HIV-related health outcomes, which speaks to the novelty of our findings and the unique contribution of this measure. Transgender and gender diverse people use many different terms and pronouns to describe their identities, and these can evolve over one’s lifetime [ 35 ]. Further, the importance of the usage of particular pronouns varies among transgender people. For many, correct pronoun usage is a critical, respectful, and affirming form of communication that builds trust in settings such as healthcare [ 31 ]. Asserting one’s gender identity, correct name and pronoun, and insisting on the importance of having these respected by others may represent an important form of self-actualization and empowerment among transgender people, as well as a pathway to increase social gender affirmation [ 33 , 36 ].
This study was conducted among community- and clinic-based samples of transgender women living with HIV. Because these were not probability samples, our results may not generalize to all transgender women or transgender women not living with HIV. While development and initial validation of the TW-IP took place with transgender women living with HIV, the majority of whom were women of color, the scale is designed to be applicable across populations of transgender women regardless of HIV status or race.
The relatively moderate sample sizes and limited variability of age, race, and ethnicity preclude specific analysis of subgroups. However, in terms of population-specific research, these are two of the largest samples of transgender women living with HIV to date. Further, these samples were geographically diverse as they came from different regions of the US (West, East, and Midwest) and the majority of participants were women of color. Finally, an additional strength of this study is that our results were validated using two independent samples and we achieved consistent results across both samples.
The TW-IP was developed and tested with transgender women who were assigned ‘male’ sex at birth but identified as women, transgender women, or had another transfeminine identity. It is possible that some of our participants did not prefer “she” pronouns, as the diversity of pronoun preferences among transgender and gender diverse people has grown exponentially in the past few years. Future research should investigate how the importance of pronouns functions for other gender diverse people, such as transgender men and non-binary individuals. An adapted version of the TW-IP scale could also be explored with people who prefer non-standard pronouns, such as “ze/zir/zirs”, those who prefer no pronouns at all, and those who prefer that others vary the pronouns they use when addressing them. Future studies should also collect sufficiently large samples to permit testing the invariance of the measure’s performance across different demographic (e.g., age, race/ethnicity, education), psychographic (e.g., prefer non-standard pronouns vs. standard pronouns), and health status (e.g., HIV status) variables.
Future research should examine longitudinal patterns of TW-IP scores and predictive associations with engagement in healthcare, treatment adherence and persistence, and clinical outcomes, including health outcomes among transgender women not living with HIV. Among such outcomes are health-related quality of life, satisfaction with care, stigma resilience, and mental health. The availability of a psychometrically sound measure offers opportunities to investigate potential gender affirmation-related drivers of disparities in health-related outcomes experienced by transgender women. Additional research with sufficiently large and longitudinal samples is needed to evaluate the test–retest reliability of the measure and to test hypothesized determinants and consequences of TW-IP scores through associations with other constructs such as gender identity, socioeconomic status, and positive affect over time.
In summary, the TW-IP scale is a novel, brief measure of importance of pronouns among transgender women with strong psychometric properties, and preliminary validation evidence offers highly promising opportunities for use of the measure in clinical and research settings. The TW-IP scale has the potential to inform research that explores the impact of correct pronoun use as a critical form of gender affirmation on engagement in healthcare and other health outcomes among transgender women. That research can in turn serve to inform gender-affirming clinical practices that seek to address health disparities among transgender women, including HIV, mental health, and other health conditions that require active participation in health care.
We would like to thank the participants of both studies for contributing their time and information, along with all members of both study teams without whom participant recruitment and data collection would not have been possible.
The following questions are about your attitudes regarding having your gender affirmed.
Response options for each question:
1 = Not at all important
2 = Slightly important
3 = Moderately important
4 = Very important
5 = Extremely important
Scoring: The scale is scored by calculating the mean of the four responses.
Permission: The TW-IP Scale is in the public domain and freely available to use.
Conceptualization, J.M.S.; Data curation, D.C. and S.E.D.; Formal analysis, D.C., S.E.D. and T.B.N.; Funding acquisition, J.M.S. and G.R.; Methodology, J.M.S., D.C., S.E.D. and T.B.N.; Supervision, T.B.N.; Writing—original draft, J.M.S., D.C. and S.E.D.; Writing—review and editing, G.R. and T.B.N. All authors have read and agreed to the published version of the manuscript.
Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health (NIH) under award number R01MH106373 (PI: Sevelius, Study 1) and the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) Special Projects of National Significance (SPNS) Program under award number U90HA24973 (PI: Rebchook, Study 2). The publication’s contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH, HRSA, and the SPNS program.
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Pronoun research roundup.
Written by:
The following is a list of research on trans people’s use of pronouns in English and a few other languages where scholars have written about trans and gender-neutral pronoun innovations. Languages with more extensive gender marking, like Romance languages, will be addressed in a future post.
This list is extremely partial, focusing on more accessible articles with both linguistics students and non-linguists in mind. A more comprehensive list of references can be found in the Trans Language Bibliography .
References available for free (at time of publication) are marked with an asterisk. Many of the others can be found for free on authors’ websites, Academia.edu, or ResearchGate.net. However, I recommend downloading articles via the provided links if you have access to them through a university subscription because it helps authors get credit for frequently-downloaded articles.
If you are interested in articles that more directly address syntactic theory and its theorization of pronouns, you might check out:
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However, "I" and "we" still have some generally accepted pronoun rules writers should follow. For example, the first person is more likely used in the abstract, Introduction section, Discussion section, and Conclusion section of an academic paper while the third person and passive constructions are found in the Methods section and ...
Using First-Person Pronouns. In most academic writing, first-person pronouns should be avoided. For instance, when writing a research project, words such as "I," "we," "my," or "our" should probably not be used. The same principle applies to lab reports, research papers, literature reviews, and rhetorical analyses, among many ...
Pronouns are words that make reference to both specific and nonspecific things and people. They are used in place of nouns. First-person pronouns (I, We) are rarely used in academic writing. They are primarily used in a reflective piece, such as a reflective essay or personal statement. You should avoid using second-person pronouns such as ...
First-person object pronouns ("me" and "us") Used as the object of a verb or preposition, the first-person object pronoun takes the form me (singular) or us (plural). Objects can be direct or indirect, but the object pronoun should be used in both cases. A direct object is the person or thing that is acted upon (e.g., "she threatened ...
Many writers believe the "no first-person" myth, which is that writers cannot use first-person pronouns such as "I" or "we" in an APA Style paper. This myth implies that writers must instead refer to themselves in the third person (e.g., as "the author" or "the authors"). However, APA Style has no such rule against using ...
First-Person Pronouns. Use first-person pronouns in APA Style to describe your work as well as your personal reactions. If you are writing a paper by yourself, use the pronoun "I" to refer to yourself. If you are writing a paper with coauthors, use the pronoun "we" to refer yourself and your coauthors together.
Writing in the first person, or using I and we pronouns, has traditionally been frowned upon in academic writing. But despite this long-standing norm, writing in the first person isn't actually prohibited. In fact, it's becoming more acceptable - even in research papers. If you're wondering whether you can use I (or we) in your research ...
First-Person Point of View. Since 2007, Walden academic leadership has endorsed the APA manual guidance on appropriate use of the first-person singular pronoun "I," allowing the use of this pronoun in all Walden academic writing except doctoral capstone abstracts, which should not contain first person pronouns.
Koutsantoni (2006) reports that the collective personal pronoun "we" is more often used than "I" in the hedge research of engineering journal papers. Specifically, the frequently used first-person pronouns ("I" and "we") serve as the most noticeable expression of authorial stance in academic writing (Hyland, 2012).
Using "I" in Academic Writing. by Michael Kandel. Traditionally, some fields have frowned on the use of the first-person singular in an academic essay and others have encouraged that use, and both the frowning and the encouraging persist today—and there are good reasons for both positions (see "Should I"). I recommend that you not ...
For these and other reasons, the MLA Handbook for Writers of Research Papers specifically defines research papers as assignments that "require us to go beyond our personal knowledge and experience" (Gibaldi 3). Even Gesa Kirsch, an outspoken proponent of the authorial I, acknowledges that unrestrained use of the first-person perspective in ...
Each essay should have exactly five paragraphs. Don't begin a sentence with "and" or "because.". Never include personal opinion. Never use "I" in essays. We get these ideas primarily from teachers and other students. Often these ideas are derived from good advice but have been turned into unnecessarily strict rules in our minds.
First vs Third Person Pronouns. APA recommends avoiding the use of the third person when referring to your self as the primary investigator or author. Use the personal pronoun I or we when referring to steps in an experiment. (see page 120, 4.16 in the APA 7th Edition Manual) Correct: We assessed the vality of the experiment design with a ...
Total: 1) Writing in the first, second, or third person is referred to as the author's point of view. When we write, our tendency is to personalize the text by writing in the first person. That is, we use pronouns such as "I" and "we". This is acceptable when writing personal information, a journal, or a book.
A paper using first-person point of view uses pronouns such as "I," "me," "we," and "us." A paper using second-person point of view uses the pronoun "you." A paper using third-person point of view uses pronouns such as "he," "she," "it," "they," "him," "her," "his," and "them." In scholarly writing, first-person and third-person point of view ...
In Eloquent Science, Dr. Shultz concludes that "first-person pronouns in scientific writing are acceptable if used in a limited fashion and to enhance clarity.". In other words, don't pepper your paper with I's and We's. But you don't have to rigidly avoid the first person either. For example, use it when stating a nonstandard ...
Authors must remember that their research and results should the focus, not themselves. First Person Plural Pronoun: Though sometimes 'I' can be used in the abstract, introduction, discussion, and conclusion sections, it should be avoided. It is advisable to use 'we' instead. Second Person Pronoun: The use of pronouns such as 'you ...
Employing the peer review process of scientific papers as a backdrop, this research reveals the behavioral and psychological effects that second-person pronouns have in interactive written ...
Traditionally, using personal pronouns like "I" and "we" was frowned on. Instead of saying "In Section 3, I have compared the results from method X with those of method Y", you were expected to write "In section 3, the results from method X are compared with those from method Y". This is known as writing in the "passive voice ...
132. Very rarely is 'I' used in scholarly writing (at least in math and the sciences). A much more common choice is 'we', as in "the author and the reader". For example: "We examine the case when..." One exception to this rule is if you're writing a memoir or some other sort of "personal piece" for which the identity of the author is ...
The purposes of the current paper are to use secondary data from two large quantitative studies to (a) describe the development of the Transgender Women's Importance of Pronouns (TW-IP) scale, a brief, self-report measure of gender affirmation through correct pronoun usage among transgender women living with HIV and (b) present evidence of ...
In many academic writing textbooks and style guides the use of personal pronouns is not encouraged. This is particularly problematic for non-native speakers of English trying to express themselves in a second language as, although personal pronouns are a clear signal of the writers' identity and presence in a text, they are usually advised not to use them.
Third-person pronouns and antecedents examples Drew Barrymore started acting when she was 11 months old. Tortillas are off the menu because we sold them all this morning. Third-person pronouns must also agree in number with their antecedents. Singular third-person nouns need singular pronouns, and plural third-person nouns need plural pronouns.
The following is a list of research on trans people's use of pronouns in English and a few other languages where scholars have written about trans and gender-neutral pronoun innovations. Languages with more extensive gender marking, like Romance languages, will be addressed in a future post. This list is extremely partial, focusing on more accessible…
A reflexive pronoun can also be used as an intensive pronoun, which emphasizes another noun in a sentence. Intensive pronouns aren't objects in sentences like reflexive pronouns. They go right after the nouns or pronouns they modify or after verbs. When intensive pronouns go after verbs, they usually mean "without anyone's help."