Effects of Monotone and Nonmonotone Attrition on Parameter Estimates in Regression Models with Educational Data: Demographic Effects on Achievement, Aspirations, and Attitudes

Using the High School and Beyond longitudinal study, we investigate the participation patterns across four waves of data. Because nonrespondents from one wave are recontacted at subsequent waves, both monotone and nonmonotone attrition patterns arise. We discuss correlates of these two types of attr...

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Bibliographic Details
Published inThe Journal of human resources Vol. 33; no. 2; pp. 555 - 574
Main Authors Burkam, David T., Lee, Valerie E.
Format Journal Article
LanguageEnglish
Published Madison University of Wisconsin Press 01.04.1998
Subjects
Data sampling
Demography
Estimation bias
Gender bias
High schools
Hispanics
Missing data
Regression analysis
Sampling bias
School dropouts
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Summary:Using the High School and Beyond longitudinal study, we investigate the participation patterns across four waves of data. Because nonrespondents from one wave are recontacted at subsequent waves, both monotone and nonmonotone attrition patterns arise. We discuss correlates of these two types of attrition in an attempt to describe individuals who may be at-risk of attrition. Gender and incomplete participation in the base-year (respondents who exhibit item nonresponse on key variables) are important predictors of later attrition. Estimated effects of monotone and nonmonotone attrition on parameter estimates in regression models suggest that certain demographic effects will be biased due to sample attrition. The evidence for bias is neither pervasive nor consistent, but suggests a systematic inflation of the Black-White achievement disparity.
ISSN:0022-166X
1548-8004
DOI:10.2307/146441