a research topic with dependent and independent variables

Examples of Independent and Dependent Variables. 1. Gatorade and Improved Athletic Performance. A sports medicine researcher has been hired by Gatorade to test the effects of its sports drink on athletic performance. The company wants to claim that when an athlete drinks Gatorade, their performance will improve.

While the independent variable is the " cause ", the dependent variable is the " effect " - or rather, the affected variable. In other words, the dependent variable is the variable that is assumed to change as a result of a change in the independent variable. Keeping with the previous example, let's look at some dependent variables ...

The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable. Example: Independent and dependent variables. You design a study to test whether changes in room temperature have an effect on math test scores.

Designation of the dependent and independent variable involves unpacking the research problem in a way that identifies a general cause and effect and classifying these variables as either independent or dependent. The variables should be outlined in the introduction of your paper and explained in more detail in the methods section. There are no ...

Plot or graph independent and dependent variables using the standard method. The independent variable is the x-axis, while the dependent variable is the y-axis. ... The Practice of Social Research (12th ed.) Wadsworth Publishing. ISBN -495-59841-. di Francia, G. Toraldo (1981). The Investigation of the Physical World. Cambridge University Press.

Research Topic Independent Variable Dependent Variable; All Research Topics: Manipulated by the researcher. Measured by the researcher. All Research Topics: What is being changed.

Pairing each variable in the "independent variable" column with each variable in the "dependent variable" column would result in the generation of these hypotheses. Table 2 shows how this is done for age. Sets of hypotheses can likewise be constructed for the remaining independent and dependent variables in Table 1. Importantly, the ...

In research, a variable is any characteristic, number, or quantity that can be measured or counted in experimental investigations. One is called the dependent variable, and the other is the independent variable. In research, the independent variable is manipulated to observe its effect, while the dependent variable is the measured outcome.

1. Experimental variables: An experimental independent variable is one that researchers can manipulate to test downstream outcomes. Experimental variables are also called controlled variables due to researchers' ability to control them. 2. Subject variables: Subject variables cannot be controlled by researchers.

How to Tell the Independent and Dependent Variable Apart . If you are having a hard time identifying which variable is the independent variable and which is the dependent variable, remember the dependent variable is the one affected by a change in the independent variable. If you write out the variables in a sentence that shows cause and effect, the independent variable causes the effect on ...

This research topic investigates the use of ICTs in teaching and their influence on student academic achievement. The independent variable is the Use of ICTs in teaching which can be measured by the use of the internet, cellphone, TV, and computers. The dependent variable is the academic achievement of learners which can be measured by class ...

The number of hours the student studies is the independent variable because nothing directly affects the number of study hours. The grade the student earns in the class is the dependent variable because how much time the student commits to preparing can affect the grade. Related: 23 Research Databases for Professional and Academic Use.

The independent variable, often denoted as X, is the variable that is manipulated or controlled by the researcher intentionally. It's the factor that researchers believe may have a causal effect on the dependent variable. In simpler terms, the independent variable is the variable you change or vary in an experiment so you can observe its impact ...

Parts of the experiment: Independent vs dependent variables. Experiments are usually designed to find out what effect one variable has on another - in our example, the effect of salt addition on plant growth.. You manipulate the independent variable (the one you think might be the cause) and then measure the dependent variable (the one you think might be the effect) to find out what this ...

Extraneous variables (from Adjei, n.d.) While it is very common to hear the terms independent and dependent variable, extraneous variables are less common, which is surprising because an extraneous variable can destroy the integrity of a research study that claims to show a cause and effect relationship. An extraneous variable is a variable that may compete with the independent variable in ...

Be sure to have at least two independent variables for proposed research paper. The topic proposal should include the following four items which serve as . . . In a study to determine whether how long a student sleeps affects test scores. the independent variable is the length of time spent sleeping while the dependent variable is the test score.

Here is a simple rule that you can apply at all times: the independent variable is what a researcher changes, whereas the dependent variable is affected by these changes. To illustrate the difference, a number of examples are provided below. The purpose of Study 1 is to measure the impact of different plant fertilizers on how many fruits apple ...

Independent and dependent variables in research. In experimental research, a variable refers to the phenomenon, person, or thing that is being measured and observed by the researcher. A researcher conducts a study to see how one variable affects another and make assertions about the relationship between different variables.

Designation of the dependent and independent variable involves unpacking the research problem in a way that identifies a general cause and effect and classifying these variables as either independent or dependent. The variables should be outlined in the introduction of your paper and explained in more detail in the methods section. There are no ...

The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable. Example: Independent and dependent variables. You design a study to test whether changes in room temperature have an effect on maths test scores.

The relationship between independent and dependent variables can manifest in various forms—direct, indirect, linear, nonlinear, and may be moderated or mediated by other variables. At its most basic, this relationship is often conceptualized as cause and effect: the independent variable (the cause) influences the dependent variable (the effect).

Independent variables are also labeled explanatory or predictor variables. Dependent variables may be called outcome, response, or criterion variables. Much of the research process investigates the status of "true" independent variables and eliminating false or "spurious" causality. Although it is more difficult to designate independent ...

Definition: Independent variable is a variable that is manipulated or changed by the researcher to observe its effect on the dependent variable. It is also known as the predictor variable or explanatory variable. The independent variable is the presumed cause in an experiment or study, while the dependent variable is the presumed effect or outcome.

Designation of the dependent and independent variable involves unpacking the research problem in a way that identifies a general cause and effect and classifying these variables as either independent or dependent. The variables should be outlined in the introduction of your paper and explained in more detail in the methods section. There are no ...

The dependent variable of this study was the intention of healthcare professionals in home care teams to engage in an IP-SDM approach, defined as the mean of the scores of the 2 CPD-Reaction questions (items) on intention as measured on a 7-point Likert-type scale (1 = Strongly Disagree to 7 = Strongly Agree). Independent variables (predictor ...

The goal of this Research Topic is to explore the immune responses in patients with asthma. Asthma is a complex disorder characterized by variable and recurring symptoms, airflow obstruction, bronchial hyperresponsiveness, and underlying inflammation. The chronic airway inflammation associated with asthma has a profound impact on the health of ...

The research employed the dynamic panel Generalised Method of Moments (GMM) using panel data for the period 2012 to 2021 obtained from a sample of 12 Southern African countries selected based on data availability. The main independent variables to the research were climate change variables (temperature and precipitation).

Topic 7 DQ 2 Describe the indicators for using a regression analysis. Create a research scenario in which it would be correct to use a regression analysis, including the research question, sample size, and dependent and independent variables. Typically, regression analysis is the simple correlation extension. It is used to predict the x and y values.

Independent Versus Dependent Variables In research, variables are any characteristics that can take on different values, such as height, age, temperature, or test scores. Researchers often manipulate or measure independent and dependent variables in studies to test cause-and-effect relationships. The independent variable is the cause. Its value is independent of other variables in your study ...

Firstly, the true values of forest canopy closure were calculated from airborne laser scanning (ALS) point cloud data as the dependent variable of the regression model. Secondly, 18 features such as vegetation indices and textures were extracted from Sentinel-2 MSI, Landsat-8 OLI, and Sentinel-1 SAR image data as the independent variables of ...