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Nonresponse bias is a widely prevalent problem for data on education. Wedevelop a ten-step exemplar to guide nonresponse bias analysis (NRBA) incross-sectional studies and apply these steps to the Early ChildhoodLongitudinal Study, Kindergarten Class of 2010-11. A key step is theconstruction of indices of nonresponse bias based on proxy pattern-mixturemodels for survey variables of interest. A novel feature is to characterize thestrength of evidence about nonresponse bias contained in these indices, basedon the strength of the relationship between the characteristics in thenonresponse adjustment and the key survey variables. Our NRBA improves existingmethods by incorporating both missing at random and missing not at randommechanisms, and all analyses can be done straightforwardly with standardstatistical software.

A Case Study of Nonresponse Bias Analysis In Educational Assessment Surveys