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Quality of Life Research

, Volume 21, Issue 6, pp 1031–1043 | Cite as

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

  • C. M. BannEmail author
  • R. Kobau
  • M. A. Lewis
  • M. M. Zack
  • C. Luncheon
  • W. W. Thompson
Article

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.

Keywords

Well-being Scale development Quality of life Item response theory Factor analysis Differential item functioning 

Abbreviations

HP2020

Healthy People 2020

CDC

Centers for Disease Control and Prevention

BRFSS

Behavioral Risk Factor Surveillance System

WHO

World Health Organization

PROMIS

Patient-Reported Outcomes Measurement Information System

CFI

Comparative Fit Index

TLI

Tucker-Lewis Fit Index

SRMR

Standardized Root Mean Square Residual

IRT

Item response theory

DIF

Differential item functioning

CART

Classification and regression tree

SES

Socioeconomic status

NHIS

National Health Interview Survey

HRQOL

Health-related quality of life

Supplementary material

11136_2011_2_MOESM1_ESM.doc (74 kb)
Supplementary material 1 (DOC 75 kb)

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • C. M. Bann
    • 1
    Email author
  • R. Kobau
    • 2
  • M. A. Lewis
    • 1
  • M. M. Zack
    • 2
  • C. Luncheon
    • 2
  • W. W. Thompson
    • 2
  1. 1.RTI InternationalResearch Triangle ParkUSA
  2. 2.Centers for Disease Control and PreventionAtlantaUSA

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