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Quality of Life Research
Gepubliceerd in: Quality of Life Research 6/2012

01-08-2012

Development and psychometric evaluation of the public health surveillance well-being scale

Auteurs: C. M. Bann, R. Kobau, M. A. Lewis, M. M. Zack, C. Luncheon, W. W. Thompson

Gepubliceerd in: Quality of Life Research | Uitgave 6/2012

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Abstract

Purpose

To develop and psychometrically evaluate the brief Public Health Surveillance Well-Being Scale (PHS-WB) that captures mental, physical, and social components of well-being.

Methods

Using data from 5,399 HealthStyles survey respondents, we conducted bi-factor, item response theory, and differential item functioning analyses to examine the psychometric properties of a pool of 34 well-being items. Based on the statistical results and content considerations, we developed a brief 10-item well-being scale and assessed its construct validity through comparisons of demographic subgroups and correlations with measures of related constructs.

Results

Based on the bi-factor analyses, the items grouped into both an overall factor and individual domain-specific factors. The PHS-WB scale demonstrated good internal consistency (alpha = 0.87) and correlated highly with scores for the entire item pool (r = 0.94). The well-being scale scores differed as expected across demographic groups and correlated with global and domain-specific measures of similar constructs, supporting its construct validity.

Conclusion

The 10-item PHS-WB scale demonstrates good psychometric properties, and its high correlation with the item pool suggests minimal loss of information with the use of fewer items. The brief PHS-WB allows for well-being assessment on national surveys or in other situations where a longer form may not be feasible.
vorige artikel A PROMIS fatigue short form for use by individuals who have multiple sclerosis
volgende artikel Development of the Italian version of the Pain Catastrophising Scale (PCS-I): cross-cultural adaptation, factor analysis, reliability, validity and sensitivity to change
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Alleen toegankelijk voor geautoriseerde gebruikers
Voetnoten
1
About 68% of a population sample will have T scores that range between 40 and 60, 1 standard deviation above and below the mean.
 
2
SAS and SPSS programs for computing the scores are available by contacting the authors.
 
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Metagegevens
Titel
Development and psychometric evaluation of the public health surveillance well-being scale
Auteurs
C. M. Bann
R. Kobau
M. A. Lewis
M. M. Zack
C. Luncheon
W. W. Thompson
Publicatiedatum
01-08-2012
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 6/2012
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-011-0002-9

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