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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
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED677665
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PubType: Report
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  Data: Applying a Partially Nested Regression Model to Evaluate the Impact of ASSISTments on Middle School Students' Math Achievement
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  Data: <searchLink fieldCode="AR" term="%22Chun-Wei+Huang%22">Chun-Wei Huang</searchLink><br /><searchLink fieldCode="AR" term="%22Mingyu+Feng%22">Mingyu Feng</searchLink><br /><searchLink fieldCode="AR" term="%22Linlin+Li%22">Linlin Li</searchLink><br /><searchLink fieldCode="AR" term="%22WestEd%22">WestEd</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22WestEd%22"><i>WestEd</i></searchLink>. 2025.
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  Data: 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
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  Data: N
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  Data: 13
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  Data: 2025
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  Data: Office of Elementary and Secondary Education (OESE) (ED), Education Innovation and Research (EIR)
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  Data: 411B190024
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  Data: Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Junior+High+Schools%22">Junior High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Middle+Schools%22">Middle Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+6%22">Grade 6</searchLink><br /><searchLink fieldCode="EL" term="%22Intermediate+Grades%22">Intermediate Grades</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+7%22">Grade 7</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+8%22">Grade 8</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22Formative+Evaluation%22">Formative Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+School+Students%22">Middle School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Achievement%22">Mathematics Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+School+Mathematics%22">Middle School Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Independent+Study%22">Independent Study</searchLink><br /><searchLink fieldCode="DE" term="%22Achievement+Tests%22">Achievement Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Instruction%22">Mathematics Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+6%22">Grade 6</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+7%22">Grade 7</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+8%22">Grade 8</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Control+Groups%22">Control Groups</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+%28Statistics%29%22">Regression (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+Schools%22">Rural Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Randomized+Controlled+Trials%22">Randomized Controlled Trials</searchLink><br /><searchLink fieldCode="DE" term="%22Quasiexperimental+Design%22">Quasiexperimental Design</searchLink>
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  Label: Assessment and Survey Identifiers
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  Data: <searchLink fieldCode="SU" term="%22Measures+of+Academic+Progress%22">Measures of Academic Progress</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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.
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  Data: As Provided
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  Data: 2026
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  Data: ED677665
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED677665
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
    Subjects:
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Feedback (Response)
        Type: general
      – SubjectFull: Formative Evaluation
        Type: general
      – SubjectFull: Middle School Students
        Type: general
      – SubjectFull: Mathematics Achievement
        Type: general
      – SubjectFull: Middle School Mathematics
        Type: general
      – SubjectFull: Intervention
        Type: general
      – SubjectFull: Independent Study
        Type: general
      – SubjectFull: Achievement Tests
        Type: general
      – SubjectFull: Program Effectiveness
        Type: general
      – SubjectFull: Mathematics Instruction
        Type: general
      – SubjectFull: Grade 6
        Type: general
      – SubjectFull: Grade 7
        Type: general
      – SubjectFull: Grade 8
        Type: general
      – SubjectFull: Comparative Analysis
        Type: general
      – SubjectFull: Control Groups
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Regression (Statistics)
        Type: general
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Rural Schools
        Type: general
      – SubjectFull: Randomized Controlled Trials
        Type: general
      – SubjectFull: Quasiexperimental Design
        Type: general
      – SubjectFull: Measures of Academic Progress
        Type: general
    Titles:
      – TitleFull: Applying a Partially Nested Regression Model to Evaluate the Impact of ASSISTments on Middle School Students' Math Achievement
        Type: main
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            NameFull: WestEd
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            NameFull: Chun-Wei Huang
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            NameFull: Mingyu Feng
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            NameFull: Linlin Li
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          Dates:
            – D: 01
              M: 09
              Type: published
              Y: 2025
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            – TitleFull: WestEd
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