2015
DOI: 10.1007/s11162-015-9382-y
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Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in Developmental Math

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Cited by 36 publications
(32 citation statements)
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“…These gains were often quite large in magnitude, particularly for a statewide reform. This is consistent with the majority of prior research examining differential effects of developmental education by students' academic preparation, which have found that lower-performing students who are assigned to multiple levels of developmental education tend to be less likely to progress to the next course in the sequence relative to students with fewer developmental requirements (Dadger, 2012;Melguizo et al, 2016;Ngo & Kosiewicz, 2017).…”
Section: Discussionsupporting
confidence: 88%
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“…These gains were often quite large in magnitude, particularly for a statewide reform. This is consistent with the majority of prior research examining differential effects of developmental education by students' academic preparation, which have found that lower-performing students who are assigned to multiple levels of developmental education tend to be less likely to progress to the next course in the sequence relative to students with fewer developmental requirements (Dadger, 2012;Melguizo et al, 2016;Ngo & Kosiewicz, 2017).…”
Section: Discussionsupporting
confidence: 88%
“…Another study using data from four California community colleges found similar results, as students assigned to an extended twosemester sequence of developmental math were significantly less likely to complete subsequent courses and earned fewer degree-applicable credits relative to students in a single semester-long developmental math course (Ngo & Kosiewicz, 2017). A third study by Melguizo et al (2016) examined placement in four distinct levels of math in a large urban community college system and found that students assigned to lower level math courses had a lower likelihood of progressing to the next course in the sequence relative to students placed in higher-level courses. Only one study by Boatman and Long (2018) has demonstrated more positive evidence of the impacts of developmental education for lower-performing students assigned to multiple levels of developmental courses.…”
Section: Literature Reviewmentioning
confidence: 80%
“…Recent research supports the notion that many students are being placed into remedial courses using a single-placement test score, as is the case of Tennessee (Hughes & Scott-Clayton, 2010). Significant numbers of these students would likely succeed in college-level courses but are instead adding additional time and money to their path through college due to their requirement to enroll in remedial coursework instead (Melguizo, Bos, Ngo, Mills, & Prather, 2016; Scott-Clayton, Crosta, & Belfield, 2014). Incorporating high school transcripts into the placement policy helps significantly reduce under- and overplacement into remedial courses, given that transcripts include data collected over several years and a placement test is typically conducted in 30 to 60 minutes (Scott-Clayton et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Several studies, many of which employed RD designs, found that developmental math placement led to a decreased likelihood of remaining enrolled in community college (Boatman & Long, 2018) and virtually no effect on labor market outcomes (Martorell & McFarlin, 2011). Other studies found that the impact of remediation can vary by institutional context (Melguizo et al, 2016) and by students’ level of academic preparation (Boatman & Long, 2018; Scott-Clayton & Rodriguez, 2015). Overall, a meta-analysis of RD studies showed that placing into developmental education has a negative and statistically significant effect on the probability of passing the college-level course in which remediation was needed, college credits earned, and attainment (Valentine et al, 2017).…”
Section: Math Remediation In Stem Pathwaysmentioning
confidence: 99%