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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-09-23

AUTHORS

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

ABSTRACT

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

PAGES

1031-1043

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11136-011-0002-9

DOI

http://dx.doi.org/10.1007/s11136-011-0002-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023817635

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21947657


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