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Guilford Publications, Inc.
Foundations of Behavioral Statistics: An Insight-Based Approach / Edition 1

Foundations of Behavioral Statistics: An Insight-Based Approach / Edition 1

by Bruce Thompson EdD
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Product Details

ISBN-13: 9781593852856
Publisher: Guilford Publications, Inc.
Publication date: 03/21/2019
Edition description: New Edition
Pages: 457
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Bruce Thompson is Distinguished Professor of Educational Psychology and Distinguished Professor of Library Sciences, Texas A&M University, and Adjunct Professor of Family and Community Medicine, Baylor College of Medicine, Houston. He is the coeditor of the teaching, learning, and human development section of the American Educational Research Journal and past editor of Educational and Psychological Measurement, the series Advances in Social Science Methodology, and two other journals. He is the author or editor of 10 books, has written over 175 research articles, and has made contributions that have been influential in promoting greater emphasis on effect size reporting and interpretation, and improved understanding of score reliability.

Table of Contents


1. Introductory Terms and Concepts

            Definitions of Some Basic Terms

            Levels of Scale

            Some Experimental Design Considerations

            Some Key Concepts

            Reflection Problems

2. Location

            Reasonable Expectations for Statistics

            Location Concepts

            Three Classical Location Descriptive Statistics

            Four Criteria for Evaluating Statistics

            Two Robust Location Statistics

            Some Key Concepts

            Reflection Problems

3. Dispersion

            Quality of Location Descriptive Statistics

            Important in Its Own Right

            Measures of Score Spread


            Situation-Specific Maximum Dispersion

            Robust Dispersion Descriptive Statistics

            Standardized Score World

            Some Key Concepts

            Reflection Problems

4. Shape

            Two Shape Descriptive Statistics

            Normal Distributions

            Two Additional Univariate Graphics

            Some Key Concepts

            Reflection Problems

5. Bivariate Relationships

            Pearson's r

            Three Features of r

            Three Interpretation Contextual Factors

            Psychometrics of the Pearson r

            Spearman's rho

            Two Other r -Equivalent Correlation Coefficients

            Bivariate Normality

            Some Key Concepts

            Reflection Problems

6. Statistical Significance

            Sampling Distributions

            Hypothesis Testing

            Properties of Sampling Distributions

            Standard Error/Sampling Error

            Test Statistics

            Statistical Precision and Power


            Some Key Concepts

            Reflection Problems

7. Practical Significance

            Effect Sizes

            Confidence Intervals

            Confidence Intervals for Effect Sizes

            Some Key Concepts

            Reflection Problems

8. Multiple Regression Analysis: Basic GLM Concepts

            Purposes of Regression

            Simple Linear Prediction

            Case #1: Perfectly Uncorrelated Predictors

Case #2: Correlated Predictors, No Suppressor


Case #3: Correlated Predictors, Suppressor

  Effects Present

            b Weights versus Structure Coefficients

            A Final Comment on Collinearity

            Some Key Concepts

            Reflection Problems

9. A GLM Interpretation Rubric

            Do I Have Anything?

            Where Does My Something Originate?

            Stepwise Methods

            Invoking Some Alternative Models

            Some Key Concepts

            Reflection Problems

10. One-way Analysis of Variance (ANOVA)

            Experimentwise Type I Error

            ANOVA Terminology

            The Logic of Analysis of Variance

            Practical and Statistical Significance

            The "Homogeneity of Variance" Assumption

            Post Hoc Tests

            Some Key Concepts

            Reflection Problems

11. Multiway and Alternative ANOVA Models

            Multiway Models

            Factorial versus Nonfactorial Analyses

            Fixed-, Random-, and Mixed-Effects Models

            Brief Comment on ANCOVA

            Some Key Concepts

            Reflection Problems

12. The General Linear Model (GLM): ANOVA via Regression

            Planned Contrasts

            Trend/Polynomial Planned Contrasts

            Repeated Measures ANOVA via Regression

            GLM Lessons

            Some Key Concepts

            Reflection Problems

13. Some Logistic Models: Model Fitting in a Logistic Context

            Logistic Regression

            Loglinear Analysis

            Some Key Concepts

            Reflection Problems

Appendix: Scores (n = 100) with Near Normal Distributions


Students in psychology, education, social work, nursing, management, and other behavioral and social sciences; applied researchers in these fields. A core text for upper-level undergraduates who have already taken an introductory statistics course, and for graduate students in such courses as behavioral statistics, quantitative methods, and data analysis.