More Statistical and Methodological Myths and Urban Legends

Doctrine, Verity and Fable in Organizational and Social Sciences

Nonfiction, Health & Well Being, Psychology, Statistics, Research, Occupational & Industrial Psychology
Cover of the book More Statistical and Methodological Myths and Urban Legends by , Taylor and Francis
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Author: ISBN: 9781135039424
Publisher: Taylor and Francis Publication: November 5, 2014
Imprint: Routledge Language: English
Author:
ISBN: 9781135039424
Publisher: Taylor and Francis
Publication: November 5, 2014
Imprint: Routledge
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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