Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™).


Autoria(s): Schuler,M; Musekamp,G; Bengel,J; Nolte,S; Osborne,RH; Faller,H
Data(s)

01/04/2014

Resumo

To examine whether lack of measurement invariance (MI) influences mean comparisons among different disease groups, this paper provides (1) a systematic review of MI in generic constructs across chronic conditions and (2) an empirical analysis of MI in the Health Education Impact Questionnaire (heiQ™).

Identificador

http://hdl.handle.net/10536/DRO/DU:30067584

Idioma(s)

eng

Publicador

BioMed Central

Relação

http://dro.deakin.edu.au/eserv/DU:30067584/osborne-measurementinvarianceacross-2014.pdf

http://www.dx.doi.org/10.1186/1477-7525-12-56

http://www.ncbi.nlm.nih.gov/pubmed/24758346

Direitos

2014, BioMed Central

Palavras-Chave #Bias #Generic questionnaire #Measurement invariance #Systematic review #Science & Technology #Life Sciences & Biomedicine #Health Care Sciences & Services #Health Policy & Services #CONFIRMATORY FACTOR-ANALYSIS #CROSS-DIAGNOSTIC VALIDITY #ITEM RESPONSE THEORY #FUNCTIONAL INDEPENDENCE MEASURE #TESTING MEASUREMENT INVARIANCE #FACTOR-ANALYSIS FRAMEWORK #FACTORIAL INVARIANCE #DEPRESSIVE SYMPTOMS #RASCH ANALYSIS #EFFECT SIZE
Tipo

Journal Article