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STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the reader understand the purpose behind the experiment and the predictions made by the theory.
Table of Contents
Describing and Exploring Data
The Normal Distribution
Sampling Distributions and Hypothesis Testing
Basic Concepts of Probability
Categorical Data and Chi-Square
Hypothesis Tests Applied to Means
Correlation and Regression
Alternative Correlational Techniques
Simple Analysis of Variance
Multiple Comparisons Among Treatment Means
Factorial Analysis of Variance
Analyses Of Variance and Covariance as General Linear Models
Resampling and Nonparametric Approaches to Data
Answers to Selected Exercises
Table of Contents provided by Publisher. All Rights Reserved.