A guide to statistical techniques: using the book; Review of univariate and bivariate statistics; Cleaning up uur act: screening data prior to analysis; Multiple regression; Analysis of covariance; Multivariance analysis of variance and covariance; Profile analysis: the multivariate approach to repeated measures; Discriminant analysis; Logistic regression; Survival / failure analysis; Canonical correlation; Principal components and factor analysis; Structural equation modeling; Multilevel modeling; Multiwy frequency anlaysis; Overview of the general linear model; Them-series analysis (available online at www.ablongman.com/achnick5e); A skimply introduction to matrix algebra; Research designs for complete examples; Statistical tables.
Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS ...
Using Multivariate Statistics
Learning Goals Upon completing this book, readers should be able to: Learn to conduct numerous types of multivariate statistical analyses Find the best technique to use Understand Limitations to applications Learn how to use SPSS and SAS ...
Kick Start R for Repeated Measures http://cran.r-project.org/doc/contrib/Lemon-kickstart/kr_repms.html Overview of Multivariate Statistical Methods in R http://cran.r-project.org/web/views/Multivariate.html References Anderson ...
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.
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant ...
Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R ...
Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition.
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 ...
These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts.