Latent Class Analysis of Response Inconsistency across Modes in NSFG Cycle 6
نویسندگان
چکیده
Latent class analysis (LCA) has been used to model measurement error, to identify flawed survey questions, and to compare mode effects. Using data from NSFG Cycle 6, we examined the measurement error properties of responses to questions asked in two different modes (CAPI and ACASI). To evaluate mode effects within LCA strong assumptions need to be made about prevalence and response error rates in subdomains of the population. This paper will demonstrate such an analysis and discuss the “surprising” finding of high false positive and false negatives rates in ACASI compared to CAPI. Latent Class Analysis, Mode Comparison, NSFG, CAPI, ACASI, False Positive, False Negative
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