Latent variable mixture models to test for differential item functioning: a population-based analysis

Health and Quality of Life Outcomes
Xiuyun WuLisa M Lix

Abstract

Comparisons of population health status using self-report measures such as the SF-36 rest on the assumption that the measured items have a common interpretation across sub-groups. However, self-report measures may be sensitive to differential item functioning (DIF), which occurs when sub-groups with the same underlying health status have a different probability of item response. This study tested for DIF on the SF-36 physical functioning (PF) and mental health (MH) sub-scales in population-based data using latent variable mixture models (LVMMs). Data were from the Canadian Multicentre Osteoporosis Study (CaMos), a prospective national cohort study. LVMMs were applied to the ten PF and five MH SF-36 items. A standard two-parameter graded response model with one latent class was compared to multi-class LVMMs. Multivariable logistic regression models with pseudo-class random draws characterized the latent classes on demographic and health variables. The CaMos cohort consisted of 9423 respondents. A three-class LVMM fit the PF sub-scale, with class proportions of 0.59, 0.24, and 0.17. For the MH sub-scale, a two-class model fit the data, with class proportions of 0.69 and 0.31. For PF items, the probabilities of reporting greater l...Continue Reading

References

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Mar 1, 2015·Applied Psychological Measurement·Insu Paek, Sun-Joo Cho

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Citations

Aug 25, 2017·Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation·Richard SawatzkyBruno D Zumbo
Jul 4, 2019·Health and Quality of Life Outcomes·Iraj YadegariLisa M Lix
Dec 17, 2019·Current Epidemiology Reports·Richard N Jones
Feb 22, 2021·Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation·Molly MarinoAlan Jette
Sep 9, 2021·Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation·Oluwaseyi A LawalUNKNOWN APPROACH Investigators

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Software Mentioned

CaMos
Mplus
SAS

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