9781544398723-1544398727-Applied Statistics II: Multivariable and Multivariate Techniques

Applied Statistics II: Multivariable and Multivariate Techniques

ISBN-13: 9781544398723
ISBN-10: 1544398727
Edition: 3
Author: Warner, Rebecca M.
Publication date: 2020
Publisher: SAGE Publications, Inc
Format: Paperback 712 pages
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Book details

ISBN-13: 9781544398723
ISBN-10: 1544398727
Edition: 3
Author: Warner, Rebecca M.
Publication date: 2020
Publisher: SAGE Publications, Inc
Format: Paperback 712 pages

Summary

Acknowledged authors Warner, Rebecca M. wrote Applied Statistics II: Multivariable and Multivariate Techniques comprising 712 pages back in 2020. Textbook and eTextbook are published under ISBN 1544398727 and 9781544398723. Since then Applied Statistics II: Multivariable and Multivariate Techniques textbook was available to sell back to BooksRun online for the top buyback price of $ 34.25 or rent at the marketplace.

Description

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.

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