Can I have multiple dependent variables?

Can I have multiple dependent variables?

It is possible to have experiments in which you have multiple 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.

How do you do a regression with multiple dependent variables in SPSS?

You will need to have the SPSS Advanced Models module in order to run a linear regression with multiple dependent variables. The simplest way in the graphical interface is to click on Analyze->General Linear Model->Multivariate.

Why is it acceptable to have multiple dependent variables?

Researchers in psychology often include multiple dependent variables in their studies. The primary reason is that this easily allows them to answer more research questions with minimal additional effort.

How many dependent variables can you have?

A well-designed experiment normally incorporate one or two independent variables, with every other possible factor eliminated, or controlled. There may be more than two dependent variables in any experiment.

Can you have more than one dependent variable in multiple regression?

Regression analysis involving more than one independent variable and more than one dependent variable is indeed (also) called multivariate regression. This methodology is technically known as canonical correlation analysis.

When do multiple dependent variables are different measures of the same construct?

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.

How to choose an appropriate statistical test for two dependent variables?

This table is designed to help you choose an appropriate statistical test for data with two or more dependent variables. Hover your mouse over the test name (in the Test column) to see its description. The Methodology column contains links to resources with more information about the test.

How to use regression with multiple dependent variables?

Basically, it is a regression framework which relies on the idea of building successive (orthogonal) linear combinations of the variables belonging to each block such that their covariance is maximal. Here we consider that one block X contains explanatory variables, and the other block Y responses variables, as shown below:

What do you need to know about multivariate regression?

Put all your outcomes (DVs) into the outcomes box, but all your continuous predictors into the covariates box. You don’t need anything in the factors box. Look at the multivariate tests. The univariate tests will be the same as separate multiple regressions.