Placement Matters: Evaluating Multiple Measures Assessment in the Texas Corequisite Context

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Placement Matters: Evaluating Multiple Measures Assessment in the Texas Corequisite Context
Γλώσσα: English
Συγγραφείς: Dan Cullinan, Lena Novak, Liam Tsao, Gilda Azurdia, Sukanya Barman, MDRC
Πηγή: MDRC. 2026.
Διαθεσιμότητα: MDRC. 16 East 34th Street 19th Floor, New York, NY 10016-4326. Tel: 212-532-3200; Fax: 212-684-0832; e-mail: publications@mdrc.org; Web site: http://www.mdrc.org
Peer Reviewed: N
Page Count: 72
Ημερομηνία έκδοσης: 2026
Sponsoring Agency: Arnold Ventures
Τύπος εγγράφου: Reports - Research
Education Level: Higher Education
Postsecondary Education
Two Year Colleges
Descriptors: Community Colleges, College Readiness, Student Placement, Standardized Tests, Evaluation Methods, Required Courses, Educational Policy, Measures (Individuals), Educational Experience
Γεωγραφικοί όροι: Texas
Περίληψη: In the fall of 2023, Texas' community colleges enrolled over 676,000 students, an increase of 4 percent since 2021 and a return to prepandemic levels. These enrollment numbers suggest that many students in the state still view community college as a pathway to greater educational and economic opportunities after the pandemic. However, over 60 percent of students enrolling in a Texas community college in fall 2023 were deemed not college-ready in math, reading, or writing. This statistic raises two important questions: (1) How can Texas colleges best identify students who are college-ready and (2) how can they best serve students who are not? During the fall 2024 semester, MDRC partnered with the Texas Higher Education Coordinating Board to conduct a rigorous evaluation of MMA placement policies at two community colleges in the state. This study was designed to provide evidence on the effectiveness of multiple measures assessment (MMA) in Texas community colleges, with the potential to inform changes to statewide placement policies. The initial findings from this study demonstrate that using multiple measures to place students increased first-semester college-level math completion rates by 1.9 percentage points but had no discernable effect on college-level English completion rates. Only one semester of data were available for this report, which makes degree-completion effects impossible to observe at this time. However, college credits earned--an early indicator of progress toward a degree--showed a statistically significant positive effect of 0.4 credits. These findings suggest that MMA can be used successfully in the state of Texas.
Abstractor: ERIC
Entry Date: 2026
Αριθμός Καταχώρησης: ED681671
Βάση Δεδομένων: ERIC
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  Data: MDRC. 16 East 34th Street 19th Floor, New York, NY 10016-4326. Tel: 212-532-3200; Fax: 212-684-0832; e-mail: publications@mdrc.org; Web site: http://www.mdrc.org
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  Data: In the fall of 2023, Texas' community colleges enrolled over 676,000 students, an increase of 4 percent since 2021 and a return to prepandemic levels. These enrollment numbers suggest that many students in the state still view community college as a pathway to greater educational and economic opportunities after the pandemic. However, over 60 percent of students enrolling in a Texas community college in fall 2023 were deemed not college-ready in math, reading, or writing. This statistic raises two important questions: (1) How can Texas colleges best identify students who are college-ready and (2) how can they best serve students who are not? During the fall 2024 semester, MDRC partnered with the Texas Higher Education Coordinating Board to conduct a rigorous evaluation of MMA placement policies at two community colleges in the state. This study was designed to provide evidence on the effectiveness of multiple measures assessment (MMA) in Texas community colleges, with the potential to inform changes to statewide placement policies. The initial findings from this study demonstrate that using multiple measures to place students increased first-semester college-level math completion rates by 1.9 percentage points but had no discernable effect on college-level English completion rates. Only one semester of data were available for this report, which makes degree-completion effects impossible to observe at this time. However, college credits earned--an early indicator of progress toward a degree--showed a statistically significant positive effect of 0.4 credits. These findings suggest that MMA can be used successfully in the state of Texas.
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