Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is a core multivariate statistics text based on chapters from the second half of the original book. The text begins with two new chapters: an introduction to the new statistics, and a chapter on handling outliers and missing values. All chapters on statistical control and multivariable or multivariate analyses from the previous edition are retained (with the moderation chapter heavily revised) and new chapters have been added on structural equation modeling, repeated measures, and on additional statistical techniques. Each chapter includes a complete example, and begins by considering the types of research questions that chapter’s technique can answer, progresses to data screening, and provides screen shots of SPSS menu selections and output, and concludes with sample results sections. By-hand computation is used, where possible, to show how elements of the output are related to each other, and to obtain confidence interval and effect size information when SPSS does not provide this. Datasets are available on the accompanying website.
The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner′s ...
The book provides a distinctive bridge between earlier courses and advanced topics through extensive discussion of statistical control (adding a third variable), a new chapter on the "new statistics", a new chapter on outliers and missing ...
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 ...
This bundle includes Rebecca Warner′s Applied Statistics I 3e (Paperback) and Applied Statistics II 3e (Paperback).
Boston: Pearson. Howell, D.C. (1992). ... Kiely, E., & Robertson, L. (2016, November 18). How to spot fake news. FactCheck.org. ... Models and statistical inference: The controversy between Fisher and Neyman-Pearson.
Basic Bivariate Techniques Rebecca M. Warner. rankY – .690 double star Sig – two tailed X – blank Y –.007 rankX – blank rankY – .007 N X – 10 Y – 10 rankX – 10 rankY – 10 Spearman's rho X Correlation coefficient X – 1 Y –.859 double ...
This bundle includes Rebecca Warner′s Applied Statistics II 3e (Paperback) and Danney Rasco′s An R Companion for Applied Statistics II (Paperback).
Of Key Functions; Chapter 10: Bivariate Pearson Correlation; Checking Assumptions; Performing Pearson's Bivariate Correlation; Considering Alternatives; Summary of Key Functions; Chapter 11: Bivariate Regression; Checking Assumptions; ...
This bundle includes Rebecca M. Warner′s Applied Statistics II 3e (Paperback) and Danney Rasco′s An R Companion for Applied Statistics II (Paperback)
Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.