Regression analysis for categorical moderators
Aguinis, H.
Regression analysis for categorical moderators - New York Guilford Press 2004 - xxi, 202p.
Explains both the theoretical and practical importance of moderator analysis and presents the technique of moderated multiple regression (MMR) examining the methods to determine how a causal effect, or association between two variables, changes across discrete categories. Shows how to perform MMR using standard statistical Packages, SPSS and SAS with details presented justified and illustrated using the SPSS program and finally examines the assumptions behind MMR.
1-57230-969-5
QA 278.2.A29 2004
Regression analysis for categorical moderators - New York Guilford Press 2004 - xxi, 202p.
Explains both the theoretical and practical importance of moderator analysis and presents the technique of moderated multiple regression (MMR) examining the methods to determine how a causal effect, or association between two variables, changes across discrete categories. Shows how to perform MMR using standard statistical Packages, SPSS and SAS with details presented justified and illustrated using the SPSS program and finally examines the assumptions behind MMR.
1-57230-969-5
QA 278.2.A29 2004