E-Book, Englisch, 368 Seiten
Lance / Vandenberg More Statistical and Methodological Myths and Urban Legends
Erscheinungsjahr 2014
ISBN: 978-1-135-03942-4
Verlag: CRC Press
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Doctrine, Verity and Fable in Organizational and Social Sciences
E-Book, Englisch, 368 Seiten
ISBN: 978-1-135-03942-4
Verlag: CRC Press
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.”
What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more.
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Weitere Infos & Material
1. Is Ours a Hard Science (And Do We Care)? 2. Cross-Level Direct Effects: Having Our Cake and Eating It Too? 3. Use of “Independent” Measures Does Not Solve the Shared Method Bias Problem 4. Size Matters …Just Not in the Way You Think: Sample Size Requirements for Different Analyses 5. Practical Implications of Tests for Measurement Invariance: How important? 6. Missing Data Bias in Correlation Matrices: When is Pairwise Deletion a 'good enough' Missing Data Technique? 7. Separating Myth from Reality in Qualitative Research 8. Weight a Minute.What You See is Not What You Get! 9. The Reliability of Job Performance Ratings Equals 0.52 (NOT!) 10. Two Waves of Measurement do not a Longitudinal Study Make 11. Debunking Myths and Urban Legends about How to Identify Outliers 12. Pulling the Sobel Test Up By Its Bootstraps 13. Publication Bias: Understanding the Myths Around a Threat to Evidence Based Practice 14. Negatively-Worded Items Negatively Impact Survey Research 15. The Problem of Generational Change: Why Cross-Sectional Designs are Inadequate for Investigating Generational Differences 16. Justifying Aggregation: The Fallacy of the Wrong Level Revisited