week 3 assignment

Assignment Guides

Nurs 3100 week 3 assignment: week 3 assignment, introduction.

Welcome to the Walden Library! This guide is designed to teach you how to find the resources that you need to complete your Week 3 assignment. You are asked to find a current article that describes the impact of nursing on health care quality as viewed through the Magnet professional model. This guide provides step-by-step instructions for accessing a health-related database in the Library and retrieving a recent article on this topic. Specifically, after reviewing this guide, you will be able to:

• access nursing resources in the Walden Library
• access the CINAHL Plus with Full Text database
• search using effective keywords
• retrieve recent, peer-reviewed articles
• develop skills and strategies for finding the best evidence

If you are new to the Walden Library, you can watch the following video to help you become familiar with all that the Library has to offer:

Video: Library Introduction (YouTube)

Recorded April 2023 (4 min 21 sec) Transcript

Nursing and Health Library research help videos

• Introduction: Nursing and Health Research
• Advanced: Nursing and Health Research

Video: Nursing and Health Library Research: Introduction (YouTube)

Recorded May 2021 (15 min 04 sec) Transcript

Video: Advanced Nursing Research Library Lab (YouTube)

Recorded June 2019 (45 min 07 sec) Transcript

Access Nursing Resources

The Library offers a variety of resources geared specifically to nursing students. Here is how you can access them:

1. On the Library homepage , go to the Research by Subject box.

2. Click on Research by Subject and choose: Nursing .

3. This is the Library's main Nursing Research page. Here you can access:

• Nursing & health databases, which contain peer-reviewed and non-peer-reviewed journal articles.
• Nursing theory resources
• Sources for health statistics
• Evidence-based practice resources
• Walden Library Levels of Evidence Pyramid

Break the topic into keywords

Library databases that search for peer-reviewed articles cannot understand complex phrases like the topic: "the impact of nursing on health care quality as viewed through the Magnet professional practice model."

Instead, we need to break down the topic into just keywords and type each concept or keyword into a separate search box in the database as demonstrated in the search below.

What keywords should we use? The main ideas in the topic are:

health care

Magnet professional practice model

However, even these phrases and words are too specific to get results in most of our Nursing databases. We need to be even broader and just use this combination of words:

Search for a recent article

Many of the Library databases, including CINAHL Plus with Full Text, have a special limiter so that your searches return only peer-reviewed articles. They also allow you to set a date limit for your search.

Here is a search that you can do in the  CINAHL Plus with Full Text  database to find peer-reviewed articles from the last five years with our keywords for this topic.

1. When you are on the  Nursing Research page , scroll down until you see a section called Nursing databases.

Note: For more information on accessing the Nursing Research page, please see the access nursing resources instructions above.

2. Click on Nursing databases and then click on the link for CINAHL Plus with Full Text to access the database.

Note: If you have not already logged in to the Library databases, you will be prompted to log in with your myWalden Portal user name and password.

3. Now you are on a search screen with three Search boxes.

In the top search box type:

In the middle search box type:

 In the bottom search box type:

Your search boxes will look like this:

4. To limit your results to only full-text, peer-reviewed articles, go below the search boxes and click in the boxes under Full Text and Scholarly (Peer Reviewed) Journals.

Note: Many Library databases include citations for articles that they don't have in full text, meaning the full article isn't available. Limiting your results to only full text will ensure that all of the articles you find will be available.

5.  To limit your results to only the last five years, go further down on the page. Under Published Date enter the year range that you want.

In the first Year box, enter the year that was five years ago. For example:

Leave the second Year box empty and the search will default to the current year.

Note: You also don't have to fill out the months, they will default to January and the current month respectively.

6. Then click on the  Search  button to run your search.

7. That should give you a list of peer-reviewed articles from the last five years on your topic.

8. Once you identify an article that looks interesting, click on the  PDF Full Text link to open the article.

To learn more about picking appropriate keywords, please see our guide:

• Keyword Searching: Finding Articles on Your Topic
• Next Page: Return to NURS 3100 course guide
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VSA R Training (Fall 2022)

142 lessons

Week 1: Getting Started with R

• Welcome to Getting Started with R
• Install RStudio
• Import Data
• Objects and Functions
• Examine our Data
• Import Our Data Again
• Getting Help
• Wrapping Up
• Introductions thead!
• VSA R 2022 Week 1 Live Session

Week 2: Fundamentals of R (RMarkdown)

• Welcome to Fundamentals of R
• RMarkdown Overview
• Code Chunks
• Week 2 Project Assignment
• Week 2 Drop-in Session
• Week 2 Live Session

Week 3: Fundamentals of R (Data Wrangling and Analysis)

• Getting Started
• The Tidyverse
• Create a New Data Frame

Week 3 Project Assignment

• Week 3 Drop-in Session
• Week 3 Live Session

Week 4: Fundamentals of R (Data Visualization)

• An Important Workflow Tip
• The Grammar of Graphics
• Scatterplots
• color and fill
• Text and Labels
• Plot Labels
• You Did It!
• Week 4 Project Assignment
• Week 4 Drop-on Session
• Week 4 Live Session

Week 5: Catch-Up Week

• Week 5 Project Assignment
• Week 5 Drop-in Session

Week 6: Git + GitHub

• Welcome, Logistics, Course Materials, and Additional Resources
• What is Git? What is GitHub?
• Why Should You Learn to Use Git and GitHub?
• Update Everything
• Install Git
• Configure Git
• Create a Local Git Repository
• Commit History
• GitHub Repositories
• Connect RStudio and GitHub
• Push an RStudio Project to a GitHub Repository
• Pull a GitHub Repository to an RStudio Project
• Keep RStudio and GitHub in Sync
• Week 6 Project Assignment
• Week 6 Drop-in Session
• Week 6 Live Session

Week 7: Going Deeper with R (Advanced Data Wrangling, Part 1)

• Importing Data
• Reshaping Data
• Dealing with Missing Data
• Changing Variable Types
• Advanced Variable Creation
• Advanced Summarizing
• Binding Data Frames
• Week 7 Drop-in Session
• Week 7 Live Session

Week 8: Going Deeper with R (Advanced Data Wrangling, Part 2)

• Merging Data
• Renaming Variables
• Quick Interlude to Reorganize our Code
• Exporting Data
• Week 8 Project Assignment
• Week 8 Drop-in Session
• Week 8 Live Session

Week 9: Going Deeper with R (Advanced Data Visualization, Part 1)

• Data Visualization Best Practices
• Pipe Data Into ggplot
• Reorder Plots to Highlight Findings
• Line Charts
• Use Color to Highlight Findings
• Use the scales Package for Nicely Formatted Values
• Use Direct Labeling
• Week 9 Project Assignment
• Week 9 Drop-in Session
• Week 9 Live Session

Week 10: Catch-Up Week

• Week 10 Drop-in Session

Week 11: Going Deeper with R (Advanced Data Visualization, Part 2)

• Use Axis Text Wisely
• Use Titles to Highlight Findings
• Use Color in Titles to Highlight Findings
• Use Annotations to Explain
• Tweak Spacing
• Customize Your Theme
• Customize Your Fonts
• Try New Plot Types
• Week 11 Project Assignment
• Week 11 Drop-in Session
• Week 11 Live Session

Week 12: Going Deeper with R (Advanced RMarkdown)

• Advanced Markdown Text Formatting
• Advanced YAML
• Inline R Code
• Making Your Reports Shine: Word Edition
• Making Your Reports Shine: HTML Edition
• Making Your Reports Shine: PDF Edition
• Presentations
• Other Formats
• Week 12 Drop-in Session
• Week 12 Live Session

Week 13: Final Assignment

• VSA R Training Final Assignment
• VSA R Training Week 13 Live Session

Questions, Resources, Etc

• All VSA R Training Videos
• Working with file paths and RStudio Projects
• Styling RMarkdown docs
• Structuring large projects (and dealing with slow knitting of Rmd files)
• How to convert HTML files to PDF
• How to get lesson and lecture slides
• {lubridate} for working with dates and times
• Statistical Tests

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This lesson is called Week 3 Project Assignment, part of the VSA R Training (Fall 2022) course. This lesson is called Week 3 Project Assignment, part of the VSA R Training (Fall 2022) course.

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Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.

For this week's assignment we're asking you to read a dataset into your RMarkdown report and to do something with it – we don't mind what!

If you're using your own .csv file you'll need to add it to the Gist (shown in the video).

If you're using a TidyTuesday dataset please include the code you used (also shown in the video!)

Have any questions? Put them below and we will help you out!

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