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eBook - ePub
About this book
Statistics for Research in Psychology offers an intuitive approach to statistics based on estimation for interpreting research in psychology. This innovative text covers topic areas in a traditional sequence but gently shifts the focus to an alternative approach using estimation, emphasizing confidence intervals, effect sizes, and practical significance, with the advantages naturally emerging in the process. Frequent opportunities for practice and step-by-step instructions for using Excel, SPSS, and R in appendices will help readers come away with a better understanding of statistics that will allow them to more effectively evaluate published research and undertake meaningful research of their own.
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Yes, you can access Statistics for Research in Psychology by Rick Gurnsey in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Authors
- Part I Introduction to Statistics and Statistical Distributions
- 1 Basic Concepts
- 2 Distributions of Scores
- 3 Properties of Distributions
- 4 Normal Distributions
- 5 Distributions of Statistics
- Part II Estimation and Significance Tests (One Sample)
- 6 Estimating the Population Mean When the Population Standard Deviation Is Known
- 7 Significance Tests
- 8 Decisions, Power, Effect Size, and the Hybrid Model
- 9 Significance Tests Problems and Alternatives
- 10 Estimating the Population Mean When the Standard Deviation Is Unknown
- Part III Estimation and Significance Tests (Two Samples)
- 11 Estimating the Difference Between the Means of Independent Populations
- 12 Estimating the Difference Between the Means of Dependent Populations
- 13 Introduction to Correlation and Regression
- 14 Inferential Statistics for Simple Linear Regression
- 15 Inferential Statistics for Correlation
- Part IV The General Linear Model
- 16 Introduction to Multiple Regression
- 17 Applying Multiple Regression
- 18 Analysis of VarianceOne-Factor Between-Subjects
- 19 Analysis of Variance One-Factor Within-Subjects
- 20 Two-Factor ANOVA Omnibus Effects
- 21 Contrasts in Two-Factor Designs
- Selected Answers to Chapter Exercises
- Appendix A
- Appendix B
- Appendix C
- Appendix D
- Glossary
- References
- Index