ABSTRACT
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.
TABLE OF CONTENTS
part |58 pages
General Issues
chapter |29 pages
Publication Bias
part |119 pages
Design Issues
chapter |12 pages
The Problem of Generational Change
chapter |22 pages
Size Matters … just not in the Way that You Think
part |59 pages
Analytical Issues
part |102 pages
Inferential Issues