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This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the ...
Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.
such as ANOVA is that we can use either categorical independent variables (as in the consultation example), or continuous variables (as in the motivation example), or both. ANOVA, of course, requires categorical independent variables.
By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way.
This book is designed to provide a conceptually-oriented introduction to multiple regression.
Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods.
This book is designed to provide a conceptually-oriented introduction to multiple regression.