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Statistical Methods for Psychology

By David C. Howell

8th Edition © 2013
Discipline:Psychology
Course:Research Methods and Statistics
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STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly 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 emphasizes conceptual understanding. This Eighth Edition continues to focus students 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. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data.

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About this product

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly 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 emphasizes conceptual understanding. This Eighth Edition continues to focus students 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. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data.

This text integrates two underlying themes. The first is the importance of looking at the data before formulating a hypothesis, and the second is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment.

Howell explains the material at an intuitive level to give students a sense of how tests work and how they interrelate. He illustrates concepts with real-life examples from published literature.

Each chapter begins with objectives, detailed content outlines, and a brief introduction.

Key terms appear in the margin of the text and in bold within the text narrative, making them easy to find.

Table of contents

Chapters

Brief Contents
Contents
Preface
About the Author
Ch 1: Basic Concepts*Preview this chapter
Ch 2: Describing and Exploring Data
Ch 3: The Normal Distribution
Ch 4: Sampling Distributions and Hypothesis Testing
Ch 5: Basic Concepts of Probability
Ch 6: Categorical Data and Chi-Square
Ch 7: Hypothesis Tests Applied to Means
Ch 8: Power
Ch 9: Correlation and Regression
Ch 10: Alternative Correlational Techniques
Ch 11: Simple Analysis of Variance
Ch 12: Multiple Comparisons among Treatment Means
Ch 13: Factorial Analysis of Variance
Ch 14 Repeated-Measures Designs
Ch 15: Multiple Regression
Ch 16: Analyses of Variance and Covariance as General Linear Models
Ch 17: Meta-Analysis and Single-Case Designs
Ch 18: Resampling and Nonparametric Approaches to Data
Appendices
References
Answers to Exercises
Index
Glossary of Symbols
Show more

Ch 1: Basic ConceptsPreview this chapter ↗

1.1
Important Terms ↗
1.2
Descriptive and Inferential Statistics ↗
1.3
Measurement Scales ↗
1.4
Using Computers ↗
1.5
What You should Know about This Edition ↗
Key Terms ↗
Exercises ↗

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