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019 ▼a 894171576 ▼a 958105354
020 ▼a 1135039437 ▼q (Internet)
020 ▼a 9781135039431 ▼q (Internet)
020 ▼a 9780203775851
020 ▼a 0203775856
020 ▼z 0415838983 ▼q (hardback)
020 ▼z 9780415838986 ▼q (hardback)
020 ▼z 0415838991 ▼q (pbk.)
020 ▼z 9780415838993 ▼q (pbk.)
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08204 ▼a 300.72 ▼2 23
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24500 ▼a More statistical and methodological myths and urban legends/ ▼c edited by Charles E. Lance and Robert J. Vandenberg.
264 1 ▼a New York, NY : ▼b Routledge, ▼c 2015.
300 ▼a 1 online resource (x, 357 pages): ▼b illustrations.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references and index.
5050 ▼a Cover; Title; Copyright; CONTENTS; List of Contributors; Introduction; PART I General Issues; 1 Is Ours a Hard Science (and Do We Care)?; 2 Publication Bias: Understanding the Myths Concerning Threats to the Advancement of Science; PART II Design Issues; 3 Red-Headed No More: Tipping Points in Qualitative Research in Management; 4 Two Waves of Measurement Do Not a Longitudinal Study Make; 5 The Problem of Generational Change: Why Cross-Sectional Designs Are Inadequate for Investigating Generational Differences; 6 Negatively Worded Items Negatively Impact Survey Research.
5058 ▼a 7 Missing Data Bias: Exactly How Bad Is Pairwise Deletion?8 Size Matters ... Just Not in the Way that You Think: Myths Surrounding Sample Size Requirements for Statistical Analyses; PART III Analytical Issues; 9 Weight a Minute ... What You See in a Weighted Composite Is Probably Not What You Get!; 10 Debunking Myths and Urban Legends about How to Identify Influential Outliers; 11 Pulling the Sobel Test Up By Its Bootstraps; PART IV Inferential Issues; 12 "The" Reliability of Job Performance Ratings Equals 0.52.
5058 ▼a 13 Use of "Independent" Measures Does Not Solve the Shared Method Bias Problem14 The Not-So-Direct Cross-Level Direct Effect; 15 Aggregation Aggravation: The Fallacy of the Wrong Level Revisited; 16 The Practical Importance of Measurement Invariance; Index.
520 ▼a 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 Metho.
588 ▼a Based on print version record.
590 ▼a eBooks on EBSCOhost ▼b All EBSCO eBooks
650 0 ▼a Organization ▼x Research ▼x Methodology.
650 0 ▼a Organization ▼x Research ▼x Statistical methods.
650 0 ▼a Social sciences ▼x Statistical methods.
650 0 ▼a Social sciences ▼x Research ▼x Statistical methods.
650 7 ▼a SOCIAL SCIENCE ▼x Essays. ▼2 bisacsh
650 7 ▼a SOCIAL SCIENCE ▼x Reference. ▼2 bisacsh
650 7 ▼a Organization ▼x Research ▼x Methodology. ▼2 fast ▼0 (OCoLC)fst01047792
650 7 ▼a Organization ▼x Research ▼x Statistical methods. ▼2 fast ▼0 (OCoLC)fst01047793
650 7 ▼a Social sciences ▼x Research ▼x Statistical methods. ▼2 fast ▼0 (OCoLC)fst01122971
650 7 ▼a Social sciences ▼x Statistical methods. ▼2 fast ▼0 (OCoLC)fst01122983
655 4 ▼a Electronic books.
7001 ▼a Lance, Charles E., ▼d 1954- ▼e editor,
7001 ▼a Vandenberg, Robert J., ▼e editor,
7300 ▼a Statistical and methodological myths and urban legends.
77608 ▼i Print version: ▼t More statistical and methodological myths and urban legends. ▼d New York, NY : Routledge, 2015 ▼z 9780415838986 ▼z 9780415838993 ▼w (OCoLC)882463732
85640 ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=880923
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938 ▼a Taylor & Francis ▼b TAFR ▼n 9780203775851
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938 ▼a YBP Library Services ▼b YANK ▼n 12141208
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