Regression Analysis And Linear Models
Download and Read Regression Analysis And Linear Models full books in PDF, ePUB, and Kindle. Read online free Regression Analysis And Linear Models ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Regression Analysis and Linear Models
Author | : Richard B. Darlington |
Publisher | : Guilford Publications |
Total Pages | : 689 |
Release | : 2016-08-22 |
Genre | : Social Science |
ISBN | : 1462527981 |
Download Regression Analysis and Linear Models Book in PDF, Epub and Kindle
Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
Regression Analysis and Linear Models Related Books
Pages: 689
Pages: 612
Pages: 489
Pages: 583
Pages: 690