β Scribed by Nancy L. Leech, Karen C. Barrett, George A. Morgan
No coin nor oath required. For personal study only.
Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.
The new edition features:
β’ IBM SPSS version 22; although the book can be used with most older and newer versions
β’ New discusiion of intraclass correlations (Ch. 3)
β’ Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5)
β’ New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6)
β’ New chapter on how to use a variable as a mediator or a moderator (ch. 7)
β’ Revised chapter on multilevel and hierarchical linear modeling (ch. 12)
β’ A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data
β’ Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides.
IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools:
β’ all of the key SPSS windows needed to perform the analyses
β’ outputs with call-out boxes to highlight key points
β’ interpretation sections and questions to help students better understand and interpret the output
β’ extra problems with realistic data sets for practice using intermediate statistics
β’ Appendices on how to get started with SPSS, write research questions, and basic statistics.
An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS
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Intended as a supplement for intermediate statistics courses taught in depts of psych, ed, business, and other health, behavioral, and social sciences.
As a person learning both how to use statistical programs (e.g.: SPSS) and how and when to apply different statistical procedures, this book has been a lifesaver for me. Clearly written, with very helpful step-by-step instructions for running procedures using SPSS's drop down menu, the syntax this
This book is designed to help students learn how to analyze and interpret research data with intermediate statistics. It is intended to be a supplemental text in an intermediate statistics course in the behavioral sciences or education and it can be used in conjunction with any mainstream text. We h
Using nontechnical, jargon-free language, Leech (University of Colorado) demonstrates how to produce a variety of statistics that are usually included in intermediate statistics courses, plus some that are useful for doing research, in this supplemental text/CD-ROM package for an intermediate statis
<P>Designed to help students analyze and interpret research data using IBM SPSS, thisΒ book describes the use of statistics in user-friendly, non-technicalΒ language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors
This book distinguishes itself from other SPSS resources through its unique integration of the research process (including design) and the use and interpretation of the statistics. Designed to help students analyze and interpret research data, the authors demonstrate how to choose the appropriate st