Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Eisenberg discusses U-M program offering mental health services to student athletes

Bailey and Dynarski's work cited in Bloomberg article on growing U.S. inequality

Frey says current minority college completion rates predict decline in college-educated Americans

Highlights

ISR addition wins LEED Gold Certification

Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Next Brown Bag

Monday, Feb 2
Monica Grant, Free Primary Education & Age of First Birth in Malawi

Good item or bad-can latent class analysis tell? the utility of latent class analysis for the evaluation of survey questions

Archived Abstract of Former PSC Researcher

Kreuter, F., T. Yan, and Roger Tourangeau. 2008. "Good item or bad-can latent class analysis tell? the utility of latent class analysis for the evaluation of survey questions." Journal of the Royal Statistical Society Series a-Statistics in Society, 171:723-738.

Latent class analysis has been used to model measurement error, to identify flawed survey questions and to estimate mode effects. Using data from a survey of University of Maryland alumni together with alumni records, we evaluate this technique to determine its usefulness for detecting bad questions in the survey context. Two sets of latent class analysis models are applied in this evaluation: latent class models with three indicators and latent class models with two indicators under different assumptions about prevalence and error rates. Our results indicated that the latent class analysis approach produced good qualitative results for the latent class models-the item that the model deemed the worst was the worst according to the true scores. However, the approach yielded weaker quantitative estimates of the error rates for a given item.

DOI:10.1111/j.1467-985X.2007.00530.x (Full Text)

Browse | Search : All Pubs | Next