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Is It Possible to Determine the Effects of the Microschool Sector on Students?: A Cautionary Tale about Evaluating Microschool Impacts on Student Outcomes. Research Report. RR-A4414-1

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Title: Is It Possible to Determine the Effects of the Microschool Sector on Students?: A Cautionary Tale about Evaluating Microschool Impacts on Student Outcomes. Research Report. RR-A4414-1
Language: English
Authors: Lauren Covelli, Jonathan Schweig, Sarah Ohls, RAND Education, Employment, and Infrastructure
Source: RAND Corporation. 2025.
Availability: RAND Corporation. P.O. Box 2138, Santa Monica, CA 90407-2138. Tel: 877-584-8642; Tel: 310-451-7002; Fax: 412-802-4981; e-mail: order@rand.org; Web site: http://www.rand.org
Peer Reviewed: Y
Page Count: 24
Publication Date: 2025
Sponsoring Agency: Walton Family Foundation
Document Type: Reports - Research
Education Level: Elementary Secondary Education
Descriptors: Nontraditional Education, Small Schools, Elementary Secondary Education, Academic Achievement, Student Evaluation, Research Problems, Institutional Characteristics, Multigraded Classes, Home Schooling, School Demography
DOI: 10.7249/RRA4414-1
Abstract: Microschools are small schools that offer a more personalized and flexible learning experience compared with traditional schools. Many times, families choose to enroll in microschools because they are dissatisfied with local school options. Given the rapid growth of the microschool sector and the increasing investment of public dollars in education savings account programs that can be used to pay for microschools, there is a compelling need for evidence that these microschools support student learning. However, many practical and conceptual factors complicate efforts to collect such evidence, particularly when using conventional approaches to quantify impacts. These complications include considerable variability in microschool models, little systematic student data, and the fact that conventional approaches to collecting data and quantifying impacts oppose the deinstitutionalized ethos of microschools. In this report, the authors use data from the NWEA MAP Growth Research Database to illustrate the various difficulties that evaluators are likely to encounter when using conventional quasi-experimental methods in microschool impact studies. The authors highlight the considerations that should guide the design of studies so that they support valid and trustworthy inferences about microschool impacts on student outcomes. This report should be useful to researchers interested in studying the microschool sector, microschool leaders interested in evaluating their schools' performance, and policymakers interested in the regulatory implications for the growing microschool sector.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED680516
Database: ERIC
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  Data: RAND Corporation. P.O. Box 2138, Santa Monica, CA 90407-2138. Tel: 877-584-8642; Tel: 310-451-7002; Fax: 412-802-4981; e-mail: order@rand.org; Web site: http://www.rand.org
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  Data: Microschools are small schools that offer a more personalized and flexible learning experience compared with traditional schools. Many times, families choose to enroll in microschools because they are dissatisfied with local school options. Given the rapid growth of the microschool sector and the increasing investment of public dollars in education savings account programs that can be used to pay for microschools, there is a compelling need for evidence that these microschools support student learning. However, many practical and conceptual factors complicate efforts to collect such evidence, particularly when using conventional approaches to quantify impacts. These complications include considerable variability in microschool models, little systematic student data, and the fact that conventional approaches to collecting data and quantifying impacts oppose the deinstitutionalized ethos of microschools. In this report, the authors use data from the NWEA MAP Growth Research Database to illustrate the various difficulties that evaluators are likely to encounter when using conventional quasi-experimental methods in microschool impact studies. The authors highlight the considerations that should guide the design of studies so that they support valid and trustworthy inferences about microschool impacts on student outcomes. This report should be useful to researchers interested in studying the microschool sector, microschool leaders interested in evaluating their schools' performance, and policymakers interested in the regulatory implications for the growing microschool sector.
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