Statistical Methods for Psychology
David C. Howell(Author)
Wadsworth Publishing Co Inc
7th Edition
Published on 1. February 2009
Book
Hardback
768 pages
978-0-495-59784-1 (ISBN)
Description
Statistical Methods for Psychology surveys the statistical techniques commonly used in the behavioural 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, the author emphasises conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this edition continues to focus students on two key themes: 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.
Statistical Methods for Psychology surveys the statistical techniques commonly used in the behavioural 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, the author emphasises conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this edition continues to focus students on two key themes: 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.
Statistical Methods for Psychology surveys the statistical techniques commonly used in the behavioural 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, the author emphasises conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this edition continues to focus students on two key themes: 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.
More details
Edition
7th edition
Language
English
Place of publication
Belmont, CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Illustrations
illustrations
Dimensions
Height: 254 mm
ISBN-13
978-0-495-59784-1 (9780495597841)
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Schweitzer Classification
Content
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. Log-Linear Analysis; 18. Resampling and Nonparametric Approaches to Data; Appendices; References; Answers to Selected Exercises; Index.