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Capturing Dynamic School Contexts: An Applied Demonstration of Multiple Membership Modeling

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Title: Capturing Dynamic School Contexts: An Applied Demonstration of Multiple Membership Modeling
Language: English
Authors: Angela K. Henneberger (ORCID 0000-0002-0068-9691), Tessa L. Johnson (ORCID 0000-0002-6631-5852), Yi Feng (ORCID 0000-0002-3487-908X), Bess A. Rose (ORCID 0000-0002-1212-0363), Laura M. Stapleton (ORCID 0000-0003-2383-772X), Tracy Sweet (ORCID 0000-0001-9929-7518), Michael E. Woolley (ORCID 0000-0003-0965-7175)
Source: Grantee Submission. 2026.
Peer Reviewed: Y
Page Count: 58
Publication Date: 2026
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R372A150045
Document Type: Reports - Research
Education Level: Junior High Schools
Middle Schools
Secondary Education
High Schools
Higher Education
Postsecondary Education
Descriptors: Educational Assessment, Educational Development, Student Development, Educational Research, Educational Environment, Hierarchical Linear Modeling, Student Experience, Research Methodology, Student Mobility, Longitudinal Studies, Middle School Students, High School Students, College Enrollment, Scores, Predictor Variables, Effect Size
Geographic Terms: Maryland
DOI: 10.1080/10888691.2026.2668347
Abstract: Applied developmental scientists are often interested in how school contexts--critical proximal environments that shape students' developmental pathways--relate to long-term outcomes. However, school contexts are dynamic, and student mobility is common, creating challenges for researchers attempting to model developmental processes within changing school environments. Traditional multilevel models assume that each student is nested within a single, stable school context, an assumption that is violated when students attend multiple schools over time. Multiple membership multilevel modeling is an approach that can be used to account for students' experience of multiple school contexts, yet it has not been widely applied in practice. In this manuscript, we demonstrate multiple membership modeling and compare it to single membership multilevel modeling approaches, highlighting the differences that emerge. We provide implications for selecting modeling strategies that align with the research question, developmental theory, and the dynamic nature of school contexts. [This paper will be published in "Applied Developmental Science."]
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2026
Accession Number: ED680905
Database: ERIC
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  Data: Capturing Dynamic School Contexts: An Applied Demonstration of Multiple Membership Modeling
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  Data: <searchLink fieldCode="AR" term="%22Angela+K%2E+Henneberger%22">Angela K. Henneberger</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0068-9691">0000-0002-0068-9691</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tessa+L%2E+Johnson%22">Tessa L. Johnson</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6631-5852">0000-0002-6631-5852</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yi+Feng%22">Yi Feng</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3487-908X">0000-0002-3487-908X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Bess+A%2E+Rose%22">Bess A. Rose</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1212-0363">0000-0002-1212-0363</externalLink>)<br /><searchLink fieldCode="AR" term="%22Laura+M%2E+Stapleton%22">Laura M. Stapleton</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-2383-772X">0000-0003-2383-772X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tracy+Sweet%22">Tracy Sweet</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9929-7518">0000-0001-9929-7518</externalLink>)<br /><searchLink fieldCode="AR" term="%22Michael+E%2E+Woolley%22">Michael E. Woolley</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0965-7175">0000-0003-0965-7175</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2026.
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  Data: 58
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  Data: 2026
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  Data: Institute of Education Sciences (ED)
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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="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Educational+Assessment%22">Educational Assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Development%22">Educational Development</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Development%22">Student Development</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Environment%22">Educational Environment</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchical+Linear+Modeling%22">Hierarchical Linear Modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Experience%22">Student Experience</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Mobility%22">Student Mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+Studies%22">Longitudinal Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+School+Students%22">Middle School Students</searchLink><br /><searchLink fieldCode="DE" term="%22High+School+Students%22">High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22College+Enrollment%22">College Enrollment</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Effect+Size%22">Effect Size</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Maryland%22">Maryland</searchLink>
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  Data: 10.1080/10888691.2026.2668347
– Name: Abstract
  Label: Abstract
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  Data: Applied developmental scientists are often interested in how school contexts--critical proximal environments that shape students' developmental pathways--relate to long-term outcomes. However, school contexts are dynamic, and student mobility is common, creating challenges for researchers attempting to model developmental processes within changing school environments. Traditional multilevel models assume that each student is nested within a single, stable school context, an assumption that is violated when students attend multiple schools over time. Multiple membership multilevel modeling is an approach that can be used to account for students' experience of multiple school contexts, yet it has not been widely applied in practice. In this manuscript, we demonstrate multiple membership modeling and compare it to single membership multilevel modeling approaches, highlighting the differences that emerge. We provide implications for selecting modeling strategies that align with the research question, developmental theory, and the dynamic nature of school contexts. [This paper will be published in "Applied Developmental Science."]
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        Value: 10.1080/10888691.2026.2668347
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      – Text: English
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      Pagination:
        PageCount: 58
    Subjects:
      – SubjectFull: Educational Assessment
        Type: general
      – SubjectFull: Educational Development
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      – SubjectFull: Student Development
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      – SubjectFull: Student Mobility
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      – SubjectFull: Longitudinal Studies
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      – SubjectFull: Middle School Students
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      – SubjectFull: Maryland
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      – TitleFull: Capturing Dynamic School Contexts: An Applied Demonstration of Multiple Membership Modeling
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