Description

Book Synopsis

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

Table of Contents

1. Basic Concepts. 2. Describing and Exploring Data. 3. The Normal Distribution. 4. Sampling Distributions and Hypothesis Testing. 5. Basic Concepts of Probability. 6. Categorical Data and Chi-Square. 7. Hypothesis Tests Applied to Means. 8. Power. 9. Correlation and Regression. 10. Alternative Correlational Techniques. 11. Simple Analysis of Variance. 12. Multiple Comparisons Among Treatment Means. 13. Factorial Analysis of Variance. 14. Repeated-Measures Designs. 15. Multiple Regression. 16. Analyses Of Variance and Covariance as General Linear Models. 17. Meta-Analysis and Single-Case Designs. 18. Resampling and Nonparametric Approaches to Data.

Statistical Methods for Psychology

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    A Paperback by David Howell

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      Book details

      Published 3 August 2020
      ISBN-13 9780357670996
      978-0357670996
      ISBN-10 035767099X

      Description

      Book Synopsis

      STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

      Table of Contents

      1. Basic Concepts. 2. Describing and Exploring Data. 3. The Normal Distribution. 4. Sampling Distributions and Hypothesis Testing. 5. Basic Concepts of Probability. 6. Categorical Data and Chi-Square. 7. Hypothesis Tests Applied to Means. 8. Power. 9. Correlation and Regression. 10. Alternative Correlational Techniques. 11. Simple Analysis of Variance. 12. Multiple Comparisons Among Treatment Means. 13. Factorial Analysis of Variance. 14. Repeated-Measures Designs. 15. Multiple Regression. 16. Analyses Of Variance and Covariance as General Linear Models. 17. Meta-Analysis and Single-Case Designs. 18. Resampling and Nonparametric Approaches to Data.

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