How to Use SPSS®: A Step-By-Step Guide to Analysis and Interpretation, 11th Edition

How to Use SPSS®: A Step-By-Step Guide to Analysis and Interpretation, 11th Edition
PDF
  • eBook:
    How to Use SPSS®: A Step-By-Step Guide to Analysis and Interpretation, 11th Edition
  • Author:
    Brian C. Cronk
  • Edition:
    11 edition
  • Categories:
  • Data:
    October 16, 2019
  • ISBN:
    0367355698
  • ISBN-13:
    9780367355692
  • Language:
    English
  • Pages:
    228 pages
  • Format:
    PDF

Book Description
How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.
More than 270 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS.
New to this edition:
  • Now in full color with additional screenshots
  • Fully updated to the reflect SPSS version 26 (and prior versions)
  • Changes in nonparametric tests Model View incorporated
  • Data and real output are now available for all Phrasing Results sections – eliminating hypothetical output or hypothetical data

Content

1. Getting Started
2. Entering and Modifying Data
3. Descriptive Statistics
4. Graphing Data
5. Prediction and Association
6. Basic Parametric Inferential Statistics and t Tests
7. ANOVA Models
8. Nonparametric Inferential Statistics
9. Test Construction

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