IBM SPSS for Introductory Statistics: Use and Interpretation [Paperback]

1. Variables, Research Problems, and Questions 2. Getting Data Ready for Analysis and understanding it: Data Collection, Coding, and Description 3. Selecting and Interpreting Inferential Statistics 4. Methods to Provide Evidence for Reliability and Validity 5. Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association 6. Correlation and Regression 7. Comparing Groups with?t?Tests, Analysis of Variance (ANOVA), and Similar 8. Appendices A. Getting Started and Other Useful SPSS Procedures B. Writing Research Problems and Questions C. Answers to Odd Numbered Interpretation Questions D. Glossary

IBM SPSS for Introductory Statistics is designed to help students learn how to analyze and interpret research. In easy-to-understand language, the authors show readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately.

IBM SPSS for Introductory Statistics is designed to help students learn how to analyze and interpret research. In easy-to-understand language, the authors show readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. There is such a wide variety of options and statistics in SPSS that knowing which ones to use and how to interpret the outputs can be difficult. This book assists students with these challenges.

Comprehensive and user-friendly, this book prepares readers for each step in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about results. Dialog windows and SPSS syntax, along with the output, are provided. Several realistic data sets are used to solve the chapter problems and are available as an online resource.

This edition includes the following:

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