Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.
Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers ...
This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level.
... (6) part and partial correlations, (7) collinearity diagnostics, (8) Durbin-Watson, and (9) Casewise diagnostics. For this example, we apply an alpha level of .05, thus we will leave the default confidence interval percentage at 95.
The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task.
Although.modifications.based.on.the. data.at.hand.seem.intuitively.reasonable,.the.approach.does.not.seem.to.work.well.in.prac- tice..One.problem.is.that.the.modification.indices.do.not.take.into.account.the.theoretical.
Beyond ANOVA: Basics of applied statistics. ... Easy use and interpretation of SPSS for Windows: Answering research questions with statistics. ... Applied multivariate statistics for the social sciences (5th ed.).
This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations.
This is because of the wide divergence between the theory and practice of multivariate methods.
Applied Multivariate Statistics in Geohydrology and Related Sciences
With its focus on the practical application of the techniques of multivariate statistics, this book shapes the powerful tools of statistics for the specific needs of ecologists and makes statistics more applicable to their course of study.