Document Detail

Acquiescent responding in partially balanced multidimensional scales.
MedLine Citation:
PMID:  18070376     Owner:  NLM     Status:  MEDLINE    
We propose a method for controlling acquiescent response in which acquiescence response variance is isolated in an independent factor. This kind of procedure is available for perfectly balanced scales (i.e. half of the items are worded in the opposite direction to the other half with respect to a general trait). However, few questionnaires are designed so that exactly half of the items are worded in this way. If this is not the case, the available methods are useless. We propose to adapt the rotation method of Lorenzo-Seva and Rodríguez-Fornells to handle partially balanced scales (i.e. only a few items in the scale are worded in the opposite direction). The most important characteristic of our method is that it removes the variance due to acquiescent response from all the items in the questionnaire (i.e. the balanced subset of items, but also the unbalanced subsets of items). The usefulness of the method is illustrated in a numerical example.
Urbano Lorenzo-Seva; Pere J Ferrando
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-12-07
Journal Detail:
Title:  The British journal of mathematical and statistical psychology     Volume:  62     ISSN:  0007-1102     ISO Abbreviation:  Br J Math Stat Psychol     Publication Date:  2009 May 
Date Detail:
Created Date:  2009-04-08     Completed Date:  2009-07-31     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0004047     Medline TA:  Br J Math Stat Psychol     Country:  England    
Other Details:
Languages:  eng     Pagination:  319-26     Citation Subset:  IM    
Research Centre for Behavioural Assessment, Faculty of Psychology, Rovira i Virgili University, Tarragona, Spain.
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MeSH Terms
Adaptation, Psychological
Analysis of Variance
Bias (Epidemiology)
Extraversion (Psychology)
Personality Inventory / statistics & numerical data*
Psychometrics / statistics & numerical data*
Reproducibility of Results

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