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

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

Abstract Background 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...

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Bibliographic Details
Main Authors: Xiuyun Wu, Richard Sawatzky, Wilma Hopman, Nancy Mayo, Tolulope T. Sajobi, Juxin Liu, Jerilynn Prior, Alexandra Papaioannou, Robert G. Josse, Tanveer Towheed, K. Shawn Davison, Lisa M. Lix
Format: Article
Language:English
Published: BMC 2017-05-01
Series:Health and Quality of Life Outcomes
Subjects:
Latent class analysis
Item response theory
Mental health
Patient-reported outcome measures
Physical functioning
Population health
Online Access:http://link.springer.com/article/10.1186/s12955-017-0674-0

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http://link.springer.com/article/10.1186/s12955-017-0674-0

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