Statistical Methods for Psychology / Edition 8

Statistical Methods for Psychology / Edition 8

1.0 1
by David C. Howell
     
 

ISBN-10: 1111835489

ISBN-13: 9781111835484

Pub. Date: 01/01/2012

Publisher: Cengage Learning


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…  See more details below

Overview


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.

Product Details

ISBN-13:
9781111835484
Publisher:
Cengage Learning
Publication date:
01/01/2012
Series:
PSY 613 Qualitative Research and Analysis in Psychology Series
Pages:
792
Sales rank:
168,529
Product dimensions:
8.10(w) x 10.10(h) x 1.40(d)

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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