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Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format.
The new edition features:
IBM SPSS for Introductory Statistics, Fourth Edition provides helpful teaching tools:
An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers interested in using SPSS for their data analysis.
1. Variables, Research Problems and Questions. 2. Data Coding, Entry, and Checking. 3. Measurement and Descriptive Statistics. 4. Understanding Your Data and Checking Assumptions. 5. Data File Management and Descriptive Statistics. 6. Selecting and Interpreting Inferential Statistics. 7. Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association. 8. Correlation and Regression. 9. Comparing Two Groups with t Tests and Similar Nonparametric Tests. 10. Analysis of Variance (ANOVA). Appendix A: Getting Started and Other Useful SPSS Procedures. Appendix B: Writing Research Problems and Questions. Appendix C: Making Tables and Figures. Appendix D: Answers to Odd Numbered Interpretation Questions.