
Reading Statistics and Research
Schuyler W. Huck(Author)
Pearson (Publisher)
3rd Edition
Published on 4. January 2000
Book
Paperback/Softback
700 pages
978-0-321-02341-4 (ISBN)
Article exhausted; check for reprint
Description
This text explains to consumers of research how to read, understand, and critically evaluate the statistical information contained in technical research reports. Excerpts from over 500 recent research articles are presented and discussed to illustrate concepts.
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 189 mm
Thickness: 25 mm
Weight
1055 gr
ISBN-13
978-0-321-02341-4 (9780321023414)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Book
07/2003
4th Edition
Pearson
€103.28
Article exhausted; check for reprint
Previous edition
Schuyler W. Huck | William H. Cormier
Reading Statistics and Research
Book
06/1995
2nd Edition
Longman
€48.51
Article exhausted; check for reprint
Content
Preface.
Acknowledgments.
1. The Typical Format of Journal Articles.
2. Descriptive Statistics: The Univariate Case.
3. Bivariate Correlation.
4. Reliability and Validity.
5. Foundations of Inferential Statistics.
6. Estimation.
7. Hypothesis Testing-Part I.
8. Hypothesis Testing-Part II.
9. Statistical Testing and the Hybrid Approach to Testing H-sub-0.
10. Statistical Inferences Concerning Bivariate Correlation Coefficients.
11. Inferences Concerning One or Two Sample Means.
12. Tests on Three or More Sample Means Using One-Way ANOVA.
13. Post Hoc and Planned Comparisons.
14. Two-Way Analyses of Variance.
15. Three-Way Analyses of Variance.
16. Fully Repeated Measures Analyses of Variance.
17. Mixed ANOVAs.
18. The Analysis of Covariance.
19. Bivariate, Multiple, and Logistic Regression.
20. Inferences on Percentages, Proportions, and Frequencies.
21. Statistical Tests on Ranks (Nonparametric Tests).
Epilogue.
Answers to End-of-Chapter Questions.
Credits.
Index.
Acknowledgments.
1. The Typical Format of Journal Articles.
2. Descriptive Statistics: The Univariate Case.
3. Bivariate Correlation.
4. Reliability and Validity.
5. Foundations of Inferential Statistics.
6. Estimation.
7. Hypothesis Testing-Part I.
8. Hypothesis Testing-Part II.
9. Statistical Testing and the Hybrid Approach to Testing H-sub-0.
10. Statistical Inferences Concerning Bivariate Correlation Coefficients.
11. Inferences Concerning One or Two Sample Means.
12. Tests on Three or More Sample Means Using One-Way ANOVA.
13. Post Hoc and Planned Comparisons.
14. Two-Way Analyses of Variance.
15. Three-Way Analyses of Variance.
16. Fully Repeated Measures Analyses of Variance.
17. Mixed ANOVAs.
18. The Analysis of Covariance.
19. Bivariate, Multiple, and Logistic Regression.
20. Inferences on Percentages, Proportions, and Frequencies.
21. Statistical Tests on Ranks (Nonparametric Tests).
Epilogue.
Answers to End-of-Chapter Questions.
Credits.
Index.