Report
Placement Matters: Evaluating Multiple Measures Assessment in the Texas Corequisite Context
| 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 |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED681671 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED681671 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Placement Matters: Evaluating Multiple Measures Assessment in the Texas Corequisite Context – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dan+Cullinan%22">Dan Cullinan</searchLink><br /><searchLink fieldCode="AR" term="%22Lena+Novak%22">Lena Novak</searchLink><br /><searchLink fieldCode="AR" term="%22Liam+Tsao%22">Liam Tsao</searchLink><br /><searchLink fieldCode="AR" term="%22Gilda+Azurdia%22">Gilda Azurdia</searchLink><br /><searchLink fieldCode="AR" term="%22Sukanya+Barman%22">Sukanya Barman</searchLink><br /><searchLink fieldCode="AR" term="%22MDRC%22">MDRC</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22MDRC%22"><i>MDRC</i></searchLink>. 2026. – Name: Avail Label: Availability Group: Avail 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 – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 72 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: Arnold Ventures – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Two+Year+Colleges%22">Two Year Colleges</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Community+Colleges%22">Community Colleges</searchLink><br /><searchLink fieldCode="DE" term="%22College+Readiness%22">College Readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Placement%22">Student Placement</searchLink><br /><searchLink fieldCode="DE" term="%22Standardized+Tests%22">Standardized Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Required+Courses%22">Required Courses</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Policy%22">Educational Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Measures+%28Individuals%29%22">Measures (Individuals)</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Experience%22">Educational Experience</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Texas%22">Texas</searchLink> – Name: Abstract Label: Abstract Group: Ab 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: ERIC – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: ED681671 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED681671 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 72 Subjects: – SubjectFull: Community Colleges Type: general – SubjectFull: College Readiness Type: general – SubjectFull: Student Placement Type: general – SubjectFull: Standardized Tests Type: general – SubjectFull: Evaluation Methods Type: general – SubjectFull: Required Courses Type: general – SubjectFull: Educational Policy Type: general – SubjectFull: Measures (Individuals) Type: general – SubjectFull: Educational Experience Type: general – SubjectFull: Texas Type: general Titles: – TitleFull: Placement Matters: Evaluating Multiple Measures Assessment in the Texas Corequisite Context Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: MDRC – PersonEntity: Name: NameFull: Dan Cullinan – PersonEntity: Name: NameFull: Lena Novak – PersonEntity: Name: NameFull: Liam Tsao – PersonEntity: Name: NameFull: Gilda Azurdia – PersonEntity: Name: NameFull: Sukanya Barman IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 2026 Titles: – TitleFull: MDRC Type: main |
| ResultId | 1 |