TY - JOUR
T1 - Center for Epidemiologic Studies-Depression scale (CES-D) item response bias found with Mantel-Haenszel method was successfully replicated using latent variable modeling
AU - Yang, Frances M.
AU - Jones, Richard N.
N1 - Funding Information:
This research was made possible through the National Institutes of Health (NIH)/National Institute on Aging (NIA) 5-T32 AG023480 award and NIA grants AG025308, AG008812, and AG021153.
PY - 2007/11
Y1 - 2007/11
N2 - Objective: This study reexamines findings reported by Cole et al. of item response bias in the Center for Epidemiologic Studies-Depression (CES-D) scale by age, gender, and race. We use an item response theory-based latent variable conditioning approach. Study Design and Setting: We used the multiple indicators, multiple causes (MIMIC) model framework to estimate measurement bias in the CES-D responses of participants in the New Haven Established Populations for the Epidemiologic Studies of the Elderly study (N = 2,340). Results: Measurement bias attributable to race was significant for the following two CES-D items: people "are unfriendly" and "dislike me". The proportional odds of a higher-category response by blacks relative to whites on these items were 2.35 (95% confidence interval [CI]: 1.65, 3.36) and 3.11 (95% CI: 2.04, 4.76), respectively. The proportional odds were higher among women (2.03 [95% CI: 1.35, 3.06]) relative to men for the CES-D item "crying.". Conclusion: Our findings confirm that three items on the CES-D show strong evidence of item response bias. The MIMIC model is preferable to the Mantel-Haenszel approach because it conditions on a latent variable, although the effect estimates can also be interpreted using a proportional odds framework.
AB - Objective: This study reexamines findings reported by Cole et al. of item response bias in the Center for Epidemiologic Studies-Depression (CES-D) scale by age, gender, and race. We use an item response theory-based latent variable conditioning approach. Study Design and Setting: We used the multiple indicators, multiple causes (MIMIC) model framework to estimate measurement bias in the CES-D responses of participants in the New Haven Established Populations for the Epidemiologic Studies of the Elderly study (N = 2,340). Results: Measurement bias attributable to race was significant for the following two CES-D items: people "are unfriendly" and "dislike me". The proportional odds of a higher-category response by blacks relative to whites on these items were 2.35 (95% confidence interval [CI]: 1.65, 3.36) and 3.11 (95% CI: 2.04, 4.76), respectively. The proportional odds were higher among women (2.03 [95% CI: 1.35, 3.06]) relative to men for the CES-D item "crying.". Conclusion: Our findings confirm that three items on the CES-D show strong evidence of item response bias. The MIMIC model is preferable to the Mantel-Haenszel approach because it conditions on a latent variable, although the effect estimates can also be interpreted using a proportional odds framework.
KW - Center for Epidemiological Studies-Depression (CES-D)
KW - Differential item functioning (DIF)
KW - Established Populations for the Epidemiologic Studies of the Elderly (EPESE)
KW - Item response theory (IRT)
KW - Late-life depression
KW - Multiple indicators, multiple causes (MIMIC) model
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U2 - 10.1016/j.jclinepi.2007.02.008
DO - 10.1016/j.jclinepi.2007.02.008
M3 - Article
C2 - 17938063
AN - SCOPUS:35248897145
SN - 0895-4356
VL - 60
SP - 1195
EP - 1200
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
IS - 11
ER -