title: Development and psychometric evaluation of the public health surveillance well-being scale.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709-2194, USA. cmb@rti.org
authors.forename: C M
authors.initials: CM
authors.lastname: Bann
authors.forename: R
authors.initials: R
authors.lastname: Kobau
authors.forename: M A
authors.initials: MA
authors.lastname: Lewis
authors.forename: M M
authors.initials: MM
authors.lastname: Zack
authors.forename: C
authors.initials: C
authors.lastname: Luncheon
authors.forename: W W
authors.initials: WW
authors.lastname: Thompson
mesh_terms: D000328:Adult; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011594:Psychometrics; D062486:Public Health Surveillance; D011788:Quality of Life; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires; D014481:United States