Can you have 2 dependent variables?

There may be more than one dependent variable and/or independent variable. This is especially true if you are conducting an experiment with multiple stages or sets of procedures.

Can you have 2 independent variables?

Researchers often include multiple independent variables in their experiments. The most common approach is the factorial design, in which each level of one independent variable is combined with each level of the others to create all possible conditions.

Can an independent variable have two dependent variables?

Yes, this is possible and I have heard it termed as joint regression or multivariate regression. In essence you would have 2 (or more) dependent variables, and examine the relationships between independent variables and the dependent variables, plus the relationship between the 2 dependent variables.

What are 2 examples of independent variables?

Two examples of common independent variables are age and time. There’s nothing you or anything else can do to speed up or slow down time or increase or decrease age. They’re independent of everything else.

What happens when you have two dependent variables?

When multiple dependent variables are different measures of the same construct—especially if they are measured on the same scale—researchers have the option of combining them into a single measure of that construct. Recall that Schnall and her colleagues were interested in the harshness of people’s moral judgments.

Which analysis is done when you have two dependent variables?

Answer. Explanation: Bivariate analysis investigates the relationship between two data sets, with a pair of observations taken from a single sample or individual.

Why can you not have 2 independent variables in an experiment?

There are often not more than one or two independent variables tested in an experiment, otherwise it is difficult to determine the influence of each upon the final results. There may be several dependent variables, because manipulating the independent variable can influence many different things.

How can I measure the relationship between one independent variable and two or more dependent variables?

A one-way analysis of variance (ANOVA) is used when you have a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable.

How to determine if two variables are independent or dependent?

Identifying Independent and Dependent Variables. Even though the definitions of the terms independent and dependent variables may appear to be clear,in the process of analyzing data resulting from actual

  • Writing Style and Structure.
  • Conclusion.
  • What is the difference between an independent variable and a dependent variable?

    An Independent variable is a variable whose value never depends on another variable whereas a dependent variable is a variable whose value depends on another variable.

  • The Independent variable is the presumed cause.
  • Independent variables are the predictors or regressors but dependent variables are often referred as the predicted variable.
  • What are two examples of independent variables?

    Dependent Variables Defined. Dependent variables are factors studied in terms of how they change in relation to independent variables.

  • Independent Variables Defined. In a study or experiment,independent variables are referred to as treatment variables.
  • Independent and Dependent Variables in Studies.
  • Dependent and Independent Variable Examples.
  • What is the relationship between independent and dependent variables?

    The variables in a study of a cause-and-effect relationship are called the independent and 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.