Literature DB >> 18443940

Playing statistical ouija board with commonality analysis: good questions, wrong assumptions.

W Joel Schneider1.   

Abstract

Commonality analysis, as used by Hale, Fiorello, and colleagues (e.g., Hale, J. B., Fiorello, C. A., Kavanagh, J. A., Holdnack, J. A., & Aloe, A. M. [2007]. Is the demise of IQ interpretation justified? A response to special issue authors. Applied Neuropsychology, 21, 37-51), often leads to unjustified conclusions. Analyses of simulated datasets show that the highest-order commonality is a poor operationalization of the general factor of intelligence (g). Under commonly observed conditions, it is plausible that lower-order commonalities and unique components in a commonality analysis can consist entirely of g. Other problems with Hale and colleagues' (2007) analyses and interpretations are also discussed.

Mesh:

Year:  2008        PMID: 18443940     DOI: 10.1080/09084280801917566

Source DB:  PubMed          Journal:  Appl Neuropsychol        ISSN: 0908-4282


  2 in total

1.  Tools to support interpreting multiple regression in the face of multicollinearity.

Authors:  Amanda Kraha; Heather Turner; Kim Nimon; Linda Reichwein Zientek; Robin K Henson
Journal:  Front Psychol       Date:  2012-03-14

2.  Evaluation of the Technical Adequacy of Three Methods for Identifying Specific Learning Disabilities Based on Cognitive Discrepancies.

Authors:  Karla K Stuebing; Jack M Fletcher; Lee Branum-Martin; David J Francis
Journal:  School Psych Rev       Date:  2012
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.