Applying a Partially Nested Regression Model to Evaluate the Impact of ASSISTments on Middle School Students' Math Achievement
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| Title: | Applying a Partially Nested Regression Model to Evaluate the Impact of ASSISTments on Middle School Students' Math Achievement |
|---|---|
| Language: | English |
| Authors: | Chun-Wei Huang, Mingyu Feng, Linlin Li, WestEd |
| Source: | WestEd. 2025. |
| Availability: | WestEd. 730 Harrison Street, San Francisco, CA 94107-1242. Tel: 877-493-7833; Tel: 415-565-3000; Fax: 415-565-3012; Web site: http://www.wested.org |
| Peer Reviewed: | N |
| Page Count: | 13 |
| Publication Date: | 2025 |
| Sponsoring Agency: | Office of Elementary and Secondary Education (OESE) (ED), Education Innovation and Research (EIR) |
| Contract Number: | 411B190024 |
| Document Type: | Reports - Research |
| Education Level: | Junior High Schools Middle Schools Secondary Education Elementary Education Grade 6 Intermediate Grades Grade 7 Grade 8 |
| Descriptors: | Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students, Mathematics Achievement, Middle School Mathematics, Intervention, Independent Study, Achievement Tests, Program Effectiveness, Mathematics Instruction, Grade 6, Grade 7, Grade 8, Comparative Analysis, Control Groups, Algorithms, Regression (Statistics), Statistical Analysis, Rural Schools, Randomized Controlled Trials, Quasiexperimental Design |
| Assessment and Survey Identifiers: | Measures of Academic Progress |
| Abstract: | This is a technical report detailing the analytic methods used to assess the effects of a virtual professional learning community (vPLC)-enhanced ASSISTments intervention. The report uses a quasi-experimental design and partially nested regression model to account for clustering and reveals that while overall effects were positive but not statistically significant, rural students and those with lower levels of performance experienced meaningful gains in math achievement. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED677665 |
| Database: | ERIC |
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