Improving the Design of Evaluations That Include Students, Teachers, and Schools: An Empirical Investigation of Key Design Parameters

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Title: Improving the Design of Evaluations That Include Students, Teachers, and Schools: An Empirical Investigation of Key Design Parameters
Language: English
Authors: Dea Mulolli (ORCID 0000-0001-9345-8587), E. C. Hedberg (ORCID 0000-0003-0679-0720), Megan Bogia (ORCID 0000-0002-0177-3721), Jessaca Spybrook (ORCID 0000-0003-1768-6187), Tiffany Berglund, Fatih Unlu, Isaac M. Opper (ORCID 0000-0002-2554-6646)
Source: AERA Open. 2025 11(1).
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 20
Publication Date: 2025
Sponsoring Agency: National Science Foundation (NSF)
Contract Number: 2000388
Document Type: Journal Articles
Reports - Research
Education Level: Early Childhood Education
Elementary Education
Grade 3
Primary Education
Grade 4
Intermediate Grades
Grade 5
Middle Schools
Grade 6
Grade 7
Junior High Schools
Secondary Education
Grade 8
Descriptors: Grade 3, Grade 4, Grade 5, Grade 6, Grade 7, Grade 8, Educational Environment, Demography, Reading Achievement, Mathematics Achievement, Science Achievement, Statistical Analysis, Evaluation Methods, Environmental Influences, Material Development, Randomized Controlled Trials, Students, Teachers, Schools
Geographic Terms: North Carolina, Kentucky, Michigan, Maryland
ISSN: 2332-8584
Abstract: The learning environment is a complex environment for conducting evaluations. Students, teachers, and schools all play a role in shaping the environment, which can lead to differences in student achievement. Hence designing an evaluation with the capacity to detect the effectiveness of an educational intervention on student achievement requires careful planning. A key part of the planning is a statistical power analysis that considers the multilevel nature of the design. This study provides empirical estimates of design parameters necessary for planning adequately powered cluster randomized trials that include the student, teacher, and school level and are focused on reading, mathematics, or science achievement. The sample in our study includes administrative state datasets from Michigan, North Carolina, Kentucky, and Maryland for grades 3 through 8. The results showed that, with few exceptions, the variance in student test scores is larger between teachers within schools than between schools.
Abstractor: As Provided
Notes: https://www.openicpsr.org/openicpsr/project/215781/version/V1/view
Entry Date: 2026
Accession Number: EJ1494762
Database: ERIC
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  Data: Improving the Design of Evaluations That Include Students, Teachers, and Schools: An Empirical Investigation of Key Design Parameters
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  Data: <searchLink fieldCode="AR" term="%22Dea+Mulolli%22">Dea Mulolli</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9345-8587">0000-0001-9345-8587</externalLink>)<br /><searchLink fieldCode="AR" term="%22E%2E+C%2E+Hedberg%22">E. C. Hedberg</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0679-0720">0000-0003-0679-0720</externalLink>)<br /><searchLink fieldCode="AR" term="%22Megan+Bogia%22">Megan Bogia</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-0177-3721">0000-0002-0177-3721</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jessaca+Spybrook%22">Jessaca Spybrook</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-1768-6187">0000-0003-1768-6187</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tiffany+Berglund%22">Tiffany Berglund</searchLink><br /><searchLink fieldCode="AR" term="%22Fatih+Unlu%22">Fatih Unlu</searchLink><br /><searchLink fieldCode="AR" term="%22Isaac+M%2E+Opper%22">Isaac M. Opper</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-2554-6646">0000-0002-2554-6646</externalLink>)
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  Data: 20
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  Data: 2025
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  Data: National Science Foundation (NSF)
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  Data: <searchLink fieldCode="EL" term="%22Early+Childhood+Education%22">Early Childhood Education</searchLink><br /><searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+3%22">Grade 3</searchLink><br /><searchLink fieldCode="EL" term="%22Primary+Education%22">Primary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+4%22">Grade 4</searchLink><br /><searchLink fieldCode="EL" term="%22Intermediate+Grades%22">Intermediate Grades</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+5%22">Grade 5</searchLink><br /><searchLink fieldCode="EL" term="%22Middle+Schools%22">Middle Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+6%22">Grade 6</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+7%22">Grade 7</searchLink><br /><searchLink fieldCode="EL" term="%22Junior+High+Schools%22">Junior High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+8%22">Grade 8</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22North+Carolina%22">North Carolina</searchLink><br /><searchLink fieldCode="DE" term="%22Kentucky%22">Kentucky</searchLink><br /><searchLink fieldCode="DE" term="%22Michigan%22">Michigan</searchLink><br /><searchLink fieldCode="DE" term="%22Maryland%22">Maryland</searchLink>
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  Data: The learning environment is a complex environment for conducting evaluations. Students, teachers, and schools all play a role in shaping the environment, which can lead to differences in student achievement. Hence designing an evaluation with the capacity to detect the effectiveness of an educational intervention on student achievement requires careful planning. A key part of the planning is a statistical power analysis that considers the multilevel nature of the design. This study provides empirical estimates of design parameters necessary for planning adequately powered cluster randomized trials that include the student, teacher, and school level and are focused on reading, mathematics, or science achievement. The sample in our study includes administrative state datasets from Michigan, North Carolina, Kentucky, and Maryland for grades 3 through 8. The results showed that, with few exceptions, the variance in student test scores is larger between teachers within schools than between schools.
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  Data: As Provided
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  Data: https://www.openicpsr.org/openicpsr/project/215781/version/V1/view
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  Label: Entry Date
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  Data: 2026
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  Label: Accession Number
  Group: ID
  Data: EJ1494762
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      – Text: English
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        PageCount: 20
    Subjects:
      – SubjectFull: Grade 3
        Type: general
      – SubjectFull: Grade 4
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      – SubjectFull: Educational Environment
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      – SubjectFull: Reading Achievement
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      – SubjectFull: Mathematics Achievement
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      – SubjectFull: Science Achievement
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      – SubjectFull: Students
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      – SubjectFull: Teachers
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      – SubjectFull: Maryland
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