Regression Analysis and Linear Models: Concepts, Applications, and Implementation (Methodology in the Social Sciences) , 2016 Original PDF

This approachable text presents linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences with an emphasis on conceptual understanding over mathematics. Statistical control, group comparisons, moderation analysis, mediation and path analysis, regression diagnostics, and other crucial subjects are covered. Additionally, model design and estimate, quantification and measurement of multivariate and partial associations, statistical control, and statistical control are also covered. Each technique is demonstrated using interesting, fully developed examples, along with helpful suggestions and warnings.
With a section on regression analysis using R as an appendix, the use of SPSS, SAS, and STATA is highlighted. Datasets for the examples in the book are available on the companion website (www.afhayes.com), along with the RLM macro for SPSS and SAS. Pedagogical Features: *For easy identification, each chapter includes SPSS, SAS, or STATA code related to the analyses described.The RLM macro, which simplifies computations for, among other studies, linear spline regression, dominance analysis, heteroscedasticity-consistent standard errors, is described in an appendix.Utilizing online databases, students are encouraged to put what they learn in each chapter into reality.discusses subjects that aren’t typically discussed, like how to gauge a variable’s significance, coding schemes for categorical variables, causation, and misconceptions regarding testing interaction.