A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011. A key step is the construction o...
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Veröffentlicht in: | Journal of educational and behavioral statistics 2023-06, Vol.48 (3), p.271-295 |
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container_title | Journal of educational and behavioral statistics |
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creator | Si, Yajuan Little, Roderick J. A. Mo, Ya Sedransk, Nell |
description | Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011. A key step is the construction of indices of nonresponse bias based on proxy pattern-mixture models for survey variables of interest. A novel feature is to characterize the strength of evidence about nonresponse bias contained in these indices, based on the strength of the relationship between the characteristics in the nonresponse adjustment and the key survey variables. Our NRBA improves the existing methods by incorporating both missing at random and missing not at random mechanisms, and all analyses can be done straightforwardly with standard statistical software. |
doi_str_mv | 10.3102/10769986221141074 |
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Our NRBA improves the existing methods by incorporating both missing at random and missing not at random mechanisms, and all analyses can be done straightforwardly with standard statistical software.</description><identifier>ISSN: 1076-9986</identifier><identifier>EISSN: 1935-1054</identifier><identifier>DOI: 10.3102/10769986221141074</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Bias ; Children ; Educational Assessment ; Educational evaluation ; Educational tests & measurements ; Longitudinal Studies ; Prediction ; Research Problems ; Response Rates (Questionnaires) ; Statistical Analysis ; Surveys</subject><ispartof>Journal of educational and behavioral statistics, 2023-06, Vol.48 (3), p.271-295</ispartof><rights>2022 AERA</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-a24fe86b14e321d33f56a00c834de6b44b7287b0fd9b6e91a68c22be2c51c3733</citedby><cites>FETCH-LOGICAL-c334t-a24fe86b14e321d33f56a00c834de6b44b7287b0fd9b6e91a68c22be2c51c3733</cites><orcidid>0000-0001-8707-7374</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.3102/10769986221141074$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.3102/10769986221141074$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1376611$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Si, Yajuan</creatorcontrib><creatorcontrib>Little, Roderick J. 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Our NRBA improves the existing methods by incorporating both missing at random and missing not at random mechanisms, and all analyses can be done straightforwardly with standard statistical software.</description><subject>Bias</subject><subject>Children</subject><subject>Educational Assessment</subject><subject>Educational evaluation</subject><subject>Educational tests & measurements</subject><subject>Longitudinal Studies</subject><subject>Prediction</subject><subject>Research Problems</subject><subject>Response Rates (Questionnaires)</subject><subject>Statistical Analysis</subject><subject>Surveys</subject><issn>1076-9986</issn><issn>1935-1054</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1UEtPwzAMjhBIjMcP4IAUiXNHnKRpexzTeE5wGJyrNHVRp60dcYvUf0-mIjggTra_ly0zdgFiqkDIaxCJybLUSAmgw6AP2AQyFUcgYn0Y-sBHe8ExOyFaCwFKajVhTzM-t4R81fXlwNuKP7eNR9q1TQBvakt81tjNQDXxuuGLsne2q9sA8RkREm2x6fiq95840Bk7quyG8Py7nrK328Xr_D5avtw9zGfLyCmlu8hKXWFqCtCoJJRKVbGxQrhU6RJNoXWRyDQpRFVmhcEMrEmdlAVKF4NTiVKn7GrM3fn2o0fq8nXb-3AT5TIVaWxEliVBBaPK-ZbIY5XvfL21fshB5Puf5X9-FjyXowd97X70i0dQiTEAgZ-OPNl3_N36f-AXfvJz7A</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Si, Yajuan</creator><creator>Little, Roderick J. 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subjects | Bias Children Educational Assessment Educational evaluation Educational tests & measurements Longitudinal Studies Prediction Research Problems Response Rates (Questionnaires) Statistical Analysis Surveys |
title | A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys |
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