
Statistical Reasoning in the Behavioral Sciences
- 496 pages
- English
- PDF
- Available on iOS & Android
Statistical Reasoning in the Behavioral Sciences
About this book
Over the past 49 years, Statistical Reasoning in the Behavioral Sciences has provided students and professionals in psychology, education, sociology, human resources management, and related fields with a comprehensive understanding of statistical logic and procedures. Now in its Seventh Edition, this revised and updated text offers streamlined coverage based on current research and practices to help students master statistical devices and their underlying assumptions.
Statistical procedures are introduced first through a description of their essential logic, then demonstrated using raw data and hand calculations to reinforce central ideas; SPSS tutorials are then used to confirm results, allowing students to master this powerful software package while developing a solid understanding of each problem's underlying mechanisms. Coverage of current issues highlights the field's dynamic evolution, while conversational discussion relates statistics to experimental design and what happens when strict statistical theory merges with real-world data. Cited by researchers nearly 1, 000 times over the years, this book presents essential statistical concepts in a user-friendly format that eases teaching and learning while facilitating long-term retention.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- About the Book and Authors
- Contents
- 1 Introduction
- 2 Frequency Distributions, Percentiles, and Percentile Ranks
- 3 Graphic Representation of Frequency Distributions
- 4 Central Tendency
- 5 Variability and Standard (z) Scores
- 6 Standard Scores and the Normal Curve
- 7 Correlation
- 8 Prediction
- 9 Interpretive Aspects of Correlation and Regression
- 10 Probability
- 11 Random Sampling and Sampling Distributions
- 12 Introduction to Statistical Inference: Testing Hypotheses about a Single Mean (z)
- 13 Testing Hypotheses About a Single Mean When ๐ is Unknown (t)
- 14 Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power
- 15 Testing Hypotheses about the Difference between Two Independent Groups
- 16 Testing for a Difference between Two Dependent (Correlated) Groups
- 17 Inference about Correlation Coefficients
- 18 An Alternative to Hypothesis Testing: Confidence Intervals
- 19 Testing for Differences among Three or More Groups: One-Way Analysis of Variance (and Some Alternatives)
- 20 Factorial Analysis of Variance: The Two-Factor Design
- 21 Chi-Square and Inference about Frequencies
- 22 Some (Almost) Assumption-Free Tests
- Epilogue
- Appendix A Review of Basic Mathematics
- Appendix B List of Symbols
- Appendix C Answers to Problems
- Appendix D Statistical Tables
- References
- Index
- EULA