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What We Can (and Can't) Learn from Publicly Available Data about K12 Math Outcomes. Calder Brief No. 36

Title: What We Can (and Can't) Learn from Publicly Available Data about K12 Math Outcomes. Calder Brief No. 36
Language: English
Authors: Ben Backes; Michael DeArmond; Elise Dizon-Ross; Dan Goldhaber; National Center for Analysis of Longitudinal Data in Education Research (CALDER) at American Institutes for Research (AIR)
Source: National Center for Analysis of Longitudinal Data in Education Research (CALDER). 2023.
Availability: National Center for Analysis of Longitudinal Data in Education Research. American Institutes for Research, 1000 Thomas Jefferson Street NW, Washington, DC 20007. Tel: 202-403-5796; Fax: 202-403-6783; e-mail: info@caldercenter.org; Web site: https://caldercenter.org
Peer Reviewed: N
Page Count: 4
Publication Date: 2023
Document Type: Reports - Descriptive
Education Level: Elementary Secondary Education; Elementary Education; Grade 8; Junior High Schools; Middle Schools; Secondary Education; Grade 11; High Schools
Descriptors: Elementary Secondary Education; Mathematics Achievement; Educational Policy; State Policy; Advanced Courses; Algebra; At Risk Students; Minority Group Students; Racial Differences; Ethnicity; Low Income Students; Socioeconomic Status; Grade 8; Grade 11; Geometry; State Standards
Geographic Terms: California; Florida; Texas
Abstract: Given math's importance, states are adopting a range of K12 policies to improve math outcomes. As these and other policies unfold, policymakers need to monitor intended outcomes and ultimately gauge impact. They need answers to basic questions: Are more students taking and passing algebra and advanced math? Are performance gaps changing between student groups or schools? What are the characteristics of our math teachers? Are they changing? How are math teachers with different characteristics distributed across schools and students? Policymakers also need answers to more complex questions: Did a given policy have an effect? If so, why, under what conditions, and for whom? Were there any unintended consequences? With these kinds of questions in mind, this CALDER brief singles out the value of longitudinal, individual-level state administrative data by reviewing questions that can--and can't--be answered by the more limited data made publicly available by states. To illustrate, we focus on three states that are attempting to improve math outcomes and that enroll large numbers of students from historically marginalized student groups: California, Florida, and Texas.
Abstractor: As Provided
Entry Date: 2024
Accession Number: ED652899
Database: ERIC