Statistical and Methodological Myths and Urban Legends PDF ePub eBook

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Statistical and Methodological Myths and Urban Legends free pdf 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: 'your self-report measures suffer from common method bias'- 'your item-to-subject ratios are too low'- 'you can't generalize these findings to the real world'- and, '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: what is the legend that 'we (almost) all know to be true'- what is the 'kernel of truth' to each legend- what are the myths that have developed around this kernel of truth- and, what should the state of the practice be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.

About Charles E. Lance

Charles E. Lance is a Professor of Industrial and Organizational Psychology at The University of Georgia. His work in the areas of performance measurement, assessment center validity, research methods, and structural equation modeling has appeared in such journals as Psychological Methods, Organizational Research Methods (ORM), Journal of Applied Psychology, Organizational Behavior and Human Decision Processes, Journal of Management and Multivariate Behavioral Research. His 2000 ORM article with Bob Vandenberg on measurement invariance is the most often cited article in ORM's history and won the 2005 Research Methods Division's Robert McDonald Advancement of Organizational Research Methodology Award. His 2006 ORM article on the origin and evolution of four statistical cutoff criteria won the Research Methods Division of the Academy of Management Best Paper of the Year Award. Also, his 2008 article "Why Assessment Centers (ACs) Do Not Work the Way They're Supposed to" was one of the two inaugural focal articles in Industrial and Organizational Psychology: An Exchange of Perspectives on Science and Practice. Dr. Lance is also co-editor of Performance Measurement: Current Perspectives and Future Challenges (with Wink Bennett and Dave Woehr). Dr. Lance is a Fellow of the Society for Industrial and Organizational Psychology (SIOP) and the American Psychological Association, former President of the Atlanta Society for Applied Psychology, is a member of the Society for Organizational Behavior and is a licensed psychologist in the State of Georgia. He is currently Associate Editor of ORM, and on the editorial boards of Personnel Psychology, Human Performance, and Group

Details Book

Author : Charles E. Lance
Publisher : Routledge Academic
Data Published : 02 October 2008
ISBN : 0805862374
EAN : 9780805862379
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 412 pages
Age + : 15 years
Language : English
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