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Use of factor analysis models to evaluate measurement invariance property of the Asthma Control Questionnaire (ACQ).
MedLine Citation:
PMID:  23868459     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSES: To demonstrate the assessment of measurement invariance property in a health status instrument and to increase the awareness of its importance, we evaluate the measurement invariance of the Asthma Control Questionnaire (ACQ) across age and gender subgroups.
METHODS: Data are obtained from children 7-12 years of age at entry into a randomized trial, which evaluates the effect of a telephone coaching program on improving asthma outcome. Multi-group confirmatory factor analysis is used to assess the comparability of factor loadings and intercepts across age and gender subgroups. Since age is a continuous variable, two different categorizations (7-10 vs 11-12 and 7-9 vs 10-12) are analyzed.
RESULTS: The factor loadings and intercepts of all six items in ACQ are comparable across gender subgroups. Although the factor loadings are comparable across age 7-10 and 11-12 subgroups, one intercept is statistically but not practically different. For age 7-9 versus 10-12 subgroup comparison, the factor loadings are not comparable.
CONCLUSION: In children, the ACQ can be used to compare asthma control construct between boys and girls and between age 7-10 and 11-12 subgroups. Measurement invariance is an important property that should be examined when the latent construct(s) are compared across different subgroups.
Authors:
Yan Yan; Wei Wu; Robert C Strunk; Jane Garbutt
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-7-19
Journal Detail:
Title:  Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation     Volume:  -     ISSN:  1573-2649     ISO Abbreviation:  Qual Life Res     Publication Date:  2013 Jul 
Date Detail:
Created Date:  2013-7-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9210257     Medline TA:  Qual Life Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Washington University Medical School, St Louis, MO, USA, yany@wudosis.wustl.edu.
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