The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…

The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…

This paper intends to construct a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research. Then it is followed by…

This paper documents a successful methodology for the validation of data in general and for evaluating educational finance data in particular. The report addresses the errors found as a result of the independent completion of Part B-1 of the Elementary-Secondary General Information System (ELSEGIS)--the Local Education Agency Fiscal Report. This…

Two studies were conducted at the Southeastern Louisiana University (SLU) to determine possible uses of errors and omissions on surveys of incoming and freshmen college students. The subjects of the first study were 1,927 individuals who had applied for admission to SLU and attended freshman orientation in the summer of 1989. Blanks and incorrect…