Synopses & Reviews
An invaluable reference tool that guides readers through drafting the results of quantitative experiments and investigations. Everyone who does quantitative social science research writes up the results of their experiments and investigations, and this book offers guidance on how to do so. This book teaches readers how to draft the results of statistical experiments and investigations in text or visual format. This how-to book serves as an effective reference tool for students new to statistics and for experienced researchers. For statistics students as well as statistical researchers.
Description
Includes bibliographical references (p. 109-116) and indexes.
Table of Contents
Preface.
Acknowledgements.
1. How to Use This Book.
What This Book Is...and Is Not.
Overview of the Book.
What You Should Do if a Statistic of Interest Is Not Included.
Writing for Publication.
2. Frequently Asked Questions About Reporting Statistics.
What Is a Research Report?
What Is a Results Section?
What Should I Include in a Results Section?
What Are Developing Trends in Reporting Results?
What Is a Manipulation Check and How Should I Report It?
How Should I Report the Results of the Test of My Hypotheses?
What Exactly Should I Report in My Results Section?
What Format Should I Use to Report Significance Levels(p value)?
What if My Test Is Not Significant?
“Are” or “Were” My Results Significant?
What Is an “Effect Size” Indicator?
Do I Have to Report the Effect Size?
How Do I Report Effect Size?
How Do I use Greek Symbols?
Should Tables Be Used?
If I Use Tables, Where Do I Put Them?
Conclusion.
3. Descriptive Information.
Frequencies and Percentages.
Mean and Standard Deviation.
4. Reliabilities.
Interitem: Cronbach's Alpha.
Interrater.
5. Correlation.
Correlation.
6. Nonparametric Statistics.
Chi-Square Tests.
Wilcoxon Rank Sum Test/ Mann-Whitney U Test.
Kruskal-Wallis Test.
McNemar's Repeated Measures Test.
Cochran's Q.
Wilcoxon Signed-Rank Test.
Friedman Analysis of Variance by Ranks.
7. Parametric Statistics.
z Test.
t Test.
Analysis of Variance (ANOVA).
ANCOVA.
Multivariate Analysis of Variance (MANOVA).
MANCOVA.
Regression and Multiple Regression.
8. Presenting Results Visually.
Using Tables.
Constructing Tables.
Using Charts, Graphs, and Figures.
Conclusion.
9. Conclusion.
References.
Summary Charts of Statistical Tests, What to Report, Abbreviations, and Suggested Syntax.