More Statistical and Methodological Myths and Urban Legends

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 âœmethodological urban legendsâ are characterized by manuscript critiques such as: (a) âœyour self-report measures suffer from common method biasâ; (b) âœyour item-to-subject ratios are too lowâ; (c) âœyou canât generalize these findings to the real worldâ; or (d) âœyour effect sizes are too low. â 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. . Language: English