[fpr 3307]

堀啓造

堀 啓造@香川大学です。

統計のユーザにとって役立ちそうな本がでています。まだ因子分析の章しか読んでいないですが、それぞれ刺激的
です。

Edited by Charles E Lance, Robert J Vandenberg (2009).
Statistical and Methodological Myths and Urban Legends
      :Doctrine, Verity and Fable in Organizational and Social Sciences
      Routledge Academic
http://www.routledge.com/shopping_cart/products/product_detail.asp?curTab=CONTENTS&id=&parent_id=&sku=&isbn=9780805862386&pc=

Preface. 
Part 1. Statistical Issues. 
D. A. Newman, Missing Data Techniques and Low Response Rates: The Role of Systematic Nonresponse Parameters. 

M. J. Zickar, A. A. Broadfoot, The Partial Revival of a Dead Horse? Comparing Classical Test Theory and Item 
Response Theory. 

D. L. Bandalos, M. R. Boehm, Four Common Misconceptions in Exploratory Factor Analysis. 

A. W. Meade, T. S. Behrend, C. E. Lance, Dr. StrangeLOVE, or: How I Learned to Stop Worrying and Love Omitted 
Variables. 
J. M. LeBreton, J. Wu, M. N. Bing, The Truth(s) on Testing for Mediation in the Social and Organizational Sciences. 

J. R. Edwards, Seven Deadly Myths of Testing Moderation in Organizational Research.  

R. J. Vandenberg, D. M. Grelle, Alternative Model Specifications in Structural Equation Modeling: Facts, Fictions, and 
Truth. 

R. S. Landis, B. D. Edwards, J. M. Cortina, On the Practice of Allowing Correlated Residuals Among Indicators in 
Structural Equation Models. 

Part 2. Methodological Issues.
L. T. Eby, C. S. Hurst, M. M. Butts, Qualitative Research: The Red-Headed Stepchild in Organizational and Social 
Science Research? 

S. Highhouse, J. Z. Gillespie, Do Samples Really Matter That Much? H. 

Aguinis, E. E. Harden, Sample Size Rules of Thumb: Evaluating Three Common Practices. 
J. M. Cortina, R. S. Landis, When Small Effect Sizes Tell a Big Story, and When Large Effect Sizes Don’t. 

D. Chan, Why Ask Me? Are Self-report Data Really that Bad? 

C. E. Lance, L. E. Baranik, A. R. Lau, E. A. Scharlau, If It Ain’t Trait It Must Be Method: (Mis)application of the 
Multitrait-Multimethod Design in Organizational Research. 

M. M. Butts, T. W. H. Ng Chopped Liver? OK. Chopped Data? Not OK.

香川大学経済学部
堀 啓造

http://www.ec.kagawa-u.ac.jp/~hori/


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