CiNii 図書 - Data analysis for the behavioral sciences using SPSS

This text is written from the perspective that statistics is an integrated set of tools used together to uncover the story contained in numerical data. Accordingly, the text comes with a disk containing a series of real data sets to motivate discussions of appropriate methods of analysis. The presentation is informal, yet rigorous; it is based on a conceptual approach supported by an understanding of underlying mathematical foundations. Students learn that more than one method of analysis is typically needed and that an ample characterization of results is a critical component of any data analytic plan. The use of real data and SPSS to perform computations and create graphical summaries not only enables a greater emphasis on conceptual understanding and interpretation, but also allows students to study statistics in a way that reflects statistical practice.

1. Introduction
2. Examining univariate distributions
3. Measures of location, spread, and skewness
4. Re-expressing variables
5. Exploring relationships between two variables
6. Simple linear regression
7. Probability fundamentals
8. Theoretical probability models
9. The role of sampling in inferential statistics
10. Inferences involving the mean of a single population when o is known
11. Inferences involving the mean when o is not known: one and two sample designs
12. One-way analysis of variance
13. Two-way analysis of variance
14. Correlation and simple regression as inferential techniques
15. An introduction to multiple regression
16. Nonparametric methods
Appendix A. Data set descriptions
Appendix B. SPSS macro to generate a sampling distrubution of means
Appendix C. Statistical tables
Appendix D. References
Appendix E. Solutions to exercises.

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Data analysis for the behavioral sciences using SPSS

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