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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01zc77ss70c
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dc.contributor.advisorMcLanahan, Sara-
dc.contributor.authorFalter, Ben-
dc.date.accessioned2017-07-12T13:27:30Z-
dc.date.available2017-07-12T13:27:30Z-
dc.date.created2017-04-14-
dc.date.issued2017-4-14-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01zc77ss70c-
dc.description.abstractThe Fragile Families and Child Wellbeing Study is a longitudinal study which oversamples nonmarital births (“Fragile Families”). Attrition in longitudinal studies is a problem which can affect both internal and external validity of the results. In order to identify which factors predict a participant’s attrition from the study, logistic regression methods were performed. Variables which serve as predictors for a mother’s odds attrition from the study are education, immigration status, and age at time of child’s birth; higher levels of education are a predictor of participation while being an immigrants and increased age are predictors of attrition. The predictors for a father’s attrition are education, immigration status, and relationship with biological mother at time of child’s birth; education and relationship are predictors of participation while being an immigrant is a predictor of attrition. These results are useful to provide insight into how researchers can anticipate attrition in longitudinal studies and how attrition can be accounted for and corrected.  en_US
dc.language.isoen_USen_US
dc.titlePredictors of Attrition in the Fragile Families and Child Wellbeing Studyen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2017en_US
pu.departmentSociologyen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960805793-
pu.contributor.advisorid010019298-
Appears in Collections:Sociology, 1954-2020

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