Intended as a supplement for intermediate statistics courses taught in depts of psych, ed, business, and other health, behavioral, and social sciences.
SPSS for Intermediate Statistics Use and Interpretation
โ Scribed by Nancy Leech, Karen Barrett, George A Morgan
- Publisher
- Routledge Academic
- Year
- 2004
- Tongue
- English
- Leaves
- 255
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 statistics course in the behavioral sciences or education. This second edition contains new material on subjects including effect size, assumptions, and exploratory factor analysis. The CD-ROM contains real data files for use with exercises. Students need access to SPSS to use the text.
๐ SIMILAR VOLUMES
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
<P>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 bo
<P>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