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

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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.

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Notes

  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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Acknowledgments

The authors would like to thank the referees, Professor Greg Zaric, and the participants at the 2007 EuroQol Plenary Meeting (Barcelona) for the many constructive and insightful comments.

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Authors and Affiliations

  1. Richard Ivey School of Business, Western University, 1150 Richmond Street, London, ON, N5Y 4B3, Canada

    Fredrik Ødegaard

  2. RR Institute of Applied Economics, Malmo, Sweden

    Pontus Roos

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  1. Fredrik Ødegaard
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  2. Pontus Roos
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Correspondence to Fredrik Ødegaard.

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Pontus Roos: Deceased.

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Ødegaard, F., Roos, P. Measuring Worksite Health Promotion Programs: an application of Structural Equation Modeling with ordinal data. Eur J Health Econ 14, 639–653 (2013). https://doi.org/10.1007/s10198-012-0409-4

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