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 Statistical and Methodological Myths and Urban Legends by , Taylor and Francis
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781135269654
Publisher: Taylor and Francis Publication: October 18, 2010
Imprint: Routledge Language: English
Author:
ISBN: 9781135269654
Publisher: Taylor and Francis
Publication: October 18, 2010
Imprint: Routledge
Language: English

This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, 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".

Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.

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 sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, 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".

Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.

More books from Taylor and Francis

Cover of the book Genocide by
Cover of the book Islamist Rhetoric by
Cover of the book Cities and Creativity from the Renaissance to the Present by
Cover of the book Report Writing for Criminal Justice Professionals by
Cover of the book Psychological Perspectives On Women's Health by
Cover of the book Cognitive Development by
Cover of the book How to Observe Morals and Manners by
Cover of the book The Concept of Development by
Cover of the book An Anthology of Chinese Discourse on Translation (Volume 2) by
Cover of the book Politics and Social Theory by
Cover of the book Care-Giving in Dementia V3 by
Cover of the book Families and Communities Responding to AIDS by
Cover of the book Group Performance And Interaction by
Cover of the book Promoting Effective Group Work in the Primary Classroom by
Cover of the book The Postcolonial Exotic by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy