What is hierarchical multiple regression?
Hierarchical multiple regression is a statistical method used in regression analysis to explore the relationship between a dependent variable and multiple independent variables while accounting for the influence of different sets of variables in a specific order or hierarchy. The term “hierarchical” indicates that the independent variables are entered into the regression equation in a specific sequence based on theoretical or practical considerations. Here’s a general overview of how hierarchical multiple regression works: Stepwise Entry of Variables: Variables are grouped…