![]() In standard binary logistic regression, we interpreted the SPSS output that compared Block 0, a model with no independent variables, to Block 1, the model that included the independent variables. The analog to R2 in logistic regression is the Block Chi-square, which is the increase in Model Chi-square associated with the inclusion of the predictors. In multiple regression, we evaluated this question by looking at R2 change, the increase in R2 associated with adding the predictors to the regression analysis. In hierarchical binary logistic regression, we are testing a hypothesis or research question that some predictor independent variables improve our ability to predict membership in the modeled category of the dependent variable, after taking into account the relationship between some control independent variables and the dependent variable. 1 Hierarchical Binary Logistic RegressionĢ Hierarchical Binary Logistic Regression ![]()
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