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What is the dependent variable in repeated measures?
With such designs, the repeated-measure factor (the qualitative independent variable) is the within-subjects factor, while the dependent quantitative variable on which each participant is measured is the dependent variable.
Why would you use a repeated measures design?
The primary strengths of the repeated measures design is that it makes an experiment more efficient and helps keep the variability low. This helps to keep the validity of the results higher, while still allowing for smaller than usual subject groups.
Can you use linear regression on categorical data?
All Answers (13) Categorical variables can absolutely used in a linear regression model. In linear regression the independent variables can be categorical and/or continuous. But, when you fit the model if you have more than two category in the categorical independent variable make sure you are creating dummy variables.
How are different conditions used in repeated measures?
Where measurements are made under different conditions, the conditions are the levels (or related groups) of the independent variable (e.g., type of cake is the independent variable with chocolate, caramel, and lemon cake as the levels of the independent variable). A schematic of a different-conditions repeated measures design is shown below.
How are repeated measures designs taught in ANOVA?
In my personal experience, repeated measures designs are usually taught in ANOVA classes, and this is how it is taught. The data is set up with one row per individual, so individual is the focus of the unit of analysis. This is called the wide format.
What’s the name of the format for repeated measures?
This is called the wide format. The multiple measures of the outcome variable are in multiple columns of data-each is considered a different variable. It’s a multivariate approach and is run as a MANOVA, so the model equation had multiple dependent variables and multiple residuals.
Which is the best model for a categorical response?
In order to model a repeated measured data set with a categorical response, you’re going to need to use either a GEE or a Generalized Linear Mixed Model (GLMM). But that quick answer may not tell you the whole story. GLMMs are more complicated than linear mixed models.