Document Detail


Improving measurement in health education and health behavior research using item response modeling: introducing item response modeling.
MedLine Citation:
PMID:  17018765     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper is the first of several papers designed to demonstrate how the application of item response models in the behavioral sciences can be used to enhance the conceptual and technical toolkit of researchers and developers and to understand better the psychometric properties of psychosocial measures. The papers all use baseline data from the Behavior Change Consortium data archive. This paper begins with an introduction to item response models, including both dichotomous and polytomous versions. The concepts of respondent and item location, model interpretation, standard errors and testing model fit are introduced and described. A sample analysis based on data from the self-efficacy scale is used to illustrate the concepts and techniques.
Authors:
Mark Wilson; Diane D Allen; Jun Corser Li
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2006-10-03
Journal Detail:
Title:  Health education research     Volume:  21 Suppl 1     ISSN:  0268-1153     ISO Abbreviation:  Health Educ Res     Publication Date:  2006 Dec 
Date Detail:
Created Date:  2006-11-23     Completed Date:  2007-05-14     Revised Date:  2007-12-03    
Medline Journal Info:
Nlm Unique ID:  8608459     Medline TA:  Health Educ Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  i4-18     Citation Subset:  T    
Affiliation:
Graduate School of Education, University of California, Berkeley, CA 94720, USA. markw@berkeley.edu
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical*
Health Behavior*
Health Education* / methods
Humans
Models, Educational
Models, Statistical*
Psychometrics / instrumentation*,  methods
Research Design*
Self Efficacy
Grant Support
ID/Acronym/Agency:
263-MQ-31958//PHS HHS

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


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