Integrative Statistics for the Social and Behavioral Sciences

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(432 Seiten)
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ISBN-13:
9781452237299
Einband:
EPUB
Seiten:
432
Autor:
Renee R. Ha
eBook Typ:
Adobe Digital Editions
eBook Format:
EPUB
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

Designed to engage students and lower their "fear factor",
Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.



Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling. The authors emphasize choosing the appropriate statistical test through conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart. They focus on the interpretation of results from both Excel and SPSS outputs, and also demonstrate how to do important calculations by hand to help students grasp the underlying concepts. The book includes end-of-chapter exercises that help
students fully grasp the content of each chapter.
Designed to engage students and lower their "fear factor", Integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results.



Basic descriptive statistics, hypothesis testing, and basic inferential statistics are covered along with more advanced topics such as correlation, regression, non-parametric statistics, multivariate statistics, and general linear modeling. The authors emphasize choosing the appropriate statistical test through conceptual material, assumptions, homework exercises, and a helpful "choose-the-appropriate-test" flowchart. They focus on the interpretation of results from both Excel and SPSS outputs, and also demonstrate how to do important calculations by hand to help students grasp the underlying concepts. The book includes end-of-chapter exercises that help
students fully grasp the content of each chapter.
About the Authors
Preface
Acknowledgments
Part I. Descriptive Statistics
1. Introduction to Statistics: What Are You Getting Into?
2. Getting Started With Statistics
3. Frequency Distributions and Graphing
4. The Mean and Standard Deviation
5. The Normal Distribution, Standardized Scores, and Probability
Part II. Introduction to Hypothesis Testing
6. Sampling Distribution of the Mean and the Single-Sample z Statistic
7. Inferential Statistics
8. Single-Sample Tests
9. Two-Sample Tests
Part III. Additional Hypothesis Tests
10. Analysis of Variance (ANOVA)
11. Complex ANOVA Designs
12. Correlation and Regression
13. General Linear Model
14. Nonparametric Tests
15. Review
Homework Answers
Appendix: Statistical Tables
Glossary
References
Index

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