Document Detail

The moderator effect that wasn't there: statistical problems in ambivalence research.
MedLine Citation:
PMID:  18808259     Owner:  NLM     Status:  MEDLINE    
Ambivalence researchers often collapse separate measures of positivity and negativity into a single numerical index of ambivalence and refer to it as objective, operative, or potential ambivalence. The authors argue that this univariate approach to ambivalence models undermines the validity of subsequent statistical analyses because it confounds the effects of the index and its components. To remedy this situation, they demonstrate how the assumptions underlying the indices derived from the conflicting reactions model and similarity-intensity model can be tested using a multivariate approach to ambivalence models. On the basis of computer simulations and reanalyses of published moderator effects, the authors show that the frequently reported moderating influence of ambivalence on attitude effects may be a statistical artifact resulting from unmodeled correlations of positivity and negativity with attitude and the dependent variable. On the basis of extensive power analyses, they conclude that it may be extremely difficult to detect moderator effects of ambivalence in observational data. Therefore, they encourage ambivalence researchers to take an experimental approach to study design and a multivariate approach to data analysis.
Johannes Ullrich; Karin Schermelleh-Engel; Björn Böttcher
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of personality and social psychology     Volume:  95     ISSN:  0022-3514     ISO Abbreviation:  J Pers Soc Psychol     Publication Date:  2008 Oct 
Date Detail:
Created Date:  2008-09-23     Completed Date:  2008-11-04     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0014171     Medline TA:  J Pers Soc Psychol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  774-94     Citation Subset:  IM    
Department of Psychology, Goethe University, Frankfurt am Main, Germany.
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MeSH Terms
Models, Psychological*
Monte Carlo Method
Psychology / statistics & numerical data*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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