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

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

Trivellore Raghunathan photo

Reduction of Survey Length through Split Questionnaire Design: Consequences for Nonresponse and Measurement Error

a PSC Research Project

Investigator:   Trivellore Raghunathan

Key indicators used for policy making often come from large-sample surveys. The growing need for such data has resulted in longer surveys, and in some cases, substantial burden for respondents. Evidence indicates that survey length affects participation, leading to greater nonresponse and increased potential for nonresponse bias. Longer surveys have also been linked to suboptimal responding, resulting in measurement error. Thus, long interviews can bias survey estimates and lead to misinformed decisions.

This project estimates the effects of nonresponse and measurement error in both interviewer- and self-administered modes of data collection. It also implements a split questionnaire design, randomly assigning respondents to receive a subset of the survey questions, and uses multiply-imputed analysis for the omitted questions. Our main hypothesis is that the subset approach will yield estimates with less bias and even less total error than the full questionnaire approach.

To evaluate the extent of the problem and implement a solution, this study will:
1. Examine whether measurement error increases as a function of survey length;
2. Isolate the impact of survey length on nonresponse bias; and
3. Evaluate the reduction of bias and impact on mean square error from using split questionnaire design, after multiply imputing the full data for all respondents.

The long-term objective of this study is to provide empirical evidence leading to a paradigm shift in survey design that will allow for improved information on health while reducing respondent burden.

Funding Period: 10/28/2013 to 09/30/2016

Search . Browse