![]() You may wish to go back to the section on multiple regression assumptions if you can’t remember the assumptions or want to check them out before progressing through the chapter. It is important to note that the assumptions for hierarchical regression are the same as those covered for simple or basic multiple regression. One with age and gender, then the next block including perceived stress. To answer this research question, we will need two blocks. The example research question is “what is the effect of perceived stress on physical illness, after controlling for age and gender?”. ![]() In a sense, researchers want to account for the variability of the control variables by removing it before analysing the relationship between the predictors and the outcome. The first block entered into a hierarchical regression can include “control variables,” which are variables that we want to hold constant. The order (or which predictor goes into which block) to enter predictors into the model is decided by the researcher, but should always be based on theory. Each block represents one step (or model). Hierarchical regression is a type of regression model in which the predictors are entered in blocks. Hierarchical Regression Explanation and Assumptions Discuss where you would use “control variables” in a hierarchical regression analyses.Explain how hierarchical regression differs from multiple regression.At the end of this section you should be able to answer the following questions:
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