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Published in: The European Journal of Health Economics 4/2013

01-08-2013 | Original Paper

Measuring Worksite Health Promotion Programs: an application of Structural Equation Modeling with ordinal data

Authors: Fredrik Ødegaard, Pontus Roos

Published in: The European Journal of Health Economics | Issue 4/2013

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Abstract

This paper presents a model for measuring the outcome of Worksite Health Promotion Programs through an application of Structural Equation Modeling with ordinal data. We model the function “being healthy” as a vector comprised of three latent or unobservable variables: Health Status, Lifestyle and Stress. Each variable can be measured only indirectly through a set of manifest or observable ordinal indicators. The objective is to derive and analyze the distributions, and changes in distributions over time, of the latent variables on an individual level. The model is analyzed empirically on data from three large Swedish manufacturing firms.
Footnotes
1
‘Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity’ [51].
 
2
Consistent with WHO’s ICD 2007 classification; Block F43, Chap. V, http://​apps.​who.​int/​classifications/​apps/​icd/​icd10online2007/​, accessed 2012-05-18.
 
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Metadata
Title
Measuring Worksite Health Promotion Programs: an application of Structural Equation Modeling with ordinal data
Authors
Fredrik Ødegaard
Pontus Roos
Publication date
01-08-2013
Publisher
Springer-Verlag
Published in
The European Journal of Health Economics / Issue 4/2013
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-012-0409-4

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