An integrated approach to bias in a longitudinal survey in the United Kingdom

Assessing construct, method, and item bias in the General Health Questionnaire (GHQ-12)

Isabel Benítez*, B.G. Adams, J. He

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Construct, method, and item bias are three levels of measurement bias (i.e., internal bias) essential for valid group comparisons. While many studies often focus on only one level of bias, an integrated perspective on bias is still missing, especially in longitudinal designs. The aim of this study is to address bias in an integrated manner, using four waves of data in the U.K. Longitudinal Household Panel Survey. Responses to the General Health Questionnaire (GHQ-12) from natives and two generations of immigrants were used to analyze the three levels of bias. While the basic structure of the GHQ-12 was stable across groups and time, item and method bias decreased with repeated administrations. Results were confirmed with a sensitivity test. The integrated results allowed for a distinction between temporal sources of bias that became smaller over time and sources affecting valid comparisons persistently. We discuss the implications for mental health assessment.
Original languageEnglish
Pages (from-to)1194-1206
JournalAssessment
Volume26
Issue number7
DOIs
Publication statusPublished - 2019

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Mental Health
United Kingdom
Surveys and Questionnaires

Keywords

  • DIF
  • EQUIVALENCE
  • General Health Questionnaire
  • INDEXES
  • INVARIANCE
  • LIU-AGRESTI ESTIMATOR
  • SCALE
  • construct equivalence
  • differential item functioning
  • longitudinal studies
  • response styles

Cite this

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title = "An integrated approach to bias in a longitudinal survey in the United Kingdom: Assessing construct, method, and item bias in the General Health Questionnaire (GHQ-12)",
abstract = "Construct, method, and item bias are three levels of measurement bias (i.e., internal bias) essential for valid group comparisons. While many studies often focus on only one level of bias, an integrated perspective on bias is still missing, especially in longitudinal designs. The aim of this study is to address bias in an integrated manner, using four waves of data in the U.K. Longitudinal Household Panel Survey. Responses to the General Health Questionnaire (GHQ-12) from natives and two generations of immigrants were used to analyze the three levels of bias. While the basic structure of the GHQ-12 was stable across groups and time, item and method bias decreased with repeated administrations. Results were confirmed with a sensitivity test. The integrated results allowed for a distinction between temporal sources of bias that became smaller over time and sources affecting valid comparisons persistently. We discuss the implications for mental health assessment.",
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volume = "26",
pages = "1194--1206",
journal = "Assessment",
issn = "1073-1911",
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An integrated approach to bias in a longitudinal survey in the United Kingdom : Assessing construct, method, and item bias in the General Health Questionnaire (GHQ-12). / Benítez, Isabel; Adams, B.G.; He, J.

In: Assessment, Vol. 26, No. 7, 2019, p. 1194-1206.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Adams, B.G.

AU - He, J.

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AB - Construct, method, and item bias are three levels of measurement bias (i.e., internal bias) essential for valid group comparisons. While many studies often focus on only one level of bias, an integrated perspective on bias is still missing, especially in longitudinal designs. The aim of this study is to address bias in an integrated manner, using four waves of data in the U.K. Longitudinal Household Panel Survey. Responses to the General Health Questionnaire (GHQ-12) from natives and two generations of immigrants were used to analyze the three levels of bias. While the basic structure of the GHQ-12 was stable across groups and time, item and method bias decreased with repeated administrations. Results were confirmed with a sensitivity test. The integrated results allowed for a distinction between temporal sources of bias that became smaller over time and sources affecting valid comparisons persistently. We discuss the implications for mental health assessment.

KW - DIF

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KW - INDEXES

KW - INVARIANCE

KW - LIU-AGRESTI ESTIMATOR

KW - SCALE

KW - construct equivalence

KW - differential item functioning

KW - longitudinal studies

KW - response styles

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