Home > Research . Search . Country . Browse . Small Grants

PSC In The News

RSS Feed icon

Stafford says exiting down stock market worsened position of low-income households

Bailey's work cited on growing income disparities in college enrollment and graduation

Murphy says mobile sensor data will allow adaptive interventions for maximizing healthy outcomes

Highlights

PSC Fall 2014 Newsletter now available

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

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Next Brown Bag

Monday, Nov 3
Melvin Stephens, Estimating Program Benefits

Collaborative Research: On Latent Class Models of Measurement Error

a PSC Research Project [ARCHIVE DISPLAY]

Investigator:   Roger Tourangeau

This study will advance the knowledge about successful and efficient strategies for questionnaire development. It proposes a series of studies to investigate the use of latent class analysis (LCA) to assess questionnaire items. The LCA models can be used when two or more measures are available for the same latent class variable. The models can often be applied to extant data, since some surveys include multiple measures for key constructs and others routinely collect reinterview data. Surveys, and with them questionnaires, are used across many disciplines, some of which don't have access to large resources for questionnaire development and questionnaire testing. Finding a method that can draw knowledge about question performance from existing data (such as reinterview data) will be particularly useful.

Funding Period: 03/01/2006 to 02/28/2010

This PSC Archive record is displayed for historical reference.

Search . Browse