Model specification in oral health-related quality of life research.

Eur J Oral Sci

Department of Social Dentistry and Behavioural Sciences, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.

Published: October 2009

AI Article Synopsis

  • The study aimed to evaluate common practices in creating and analyzing oral health-related quality of life (OHRQoL) questionnaires, particularly focusing on statistical issues.
  • Many existing methods assume that the concepts measured by these questionnaires are purely reflective, meaning that the questions only reflect the underlying quality of life, without influencing it.
  • The research argues that OHRQoL questionnaires actually incorporate both reflective and formative measurement models, challenging the assumption that the questions operate independently of each other in measuring quality of life.

Article Abstract

The aim of this study was to analyze conventional wisdom regarding the construction and analysis of oral health-related quality of life (OHRQoL) questionnaires and to outline statistical complications. Most methods used for developing and analyzing questionnaires, such as factor analysis and Cronbach's alpha, presume psychological constructs to be latent, inferring a reflective measurement model with the underlying assumption of local independence. Local independence implies that the latent variable explains why the variables observed are related. Many OHRQoL questionnaires are analyzed as if they were based on a reflective measurement model; local independence is thus assumed. This assumption requires these questionnaires to consist solely of items that reflect, instead of determine, OHRQoL. The tenability of this assumption is the main topic of the present study. It is argued that OHRQoL questionnaires are a mix of both a formative measurement model and a reflective measurement model, thus violating the assumption of local independence. The implications are discussed.

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Source
http://dx.doi.org/10.1111/j.1600-0722.2009.00650.xDOI Listing

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