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Statistical Decisions When Modelling Effects of Teaching Quality

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Title: Statistical Decisions When Modelling Effects of Teaching Quality
Language: English
Authors: Carmen Köhler (ORCID 0000-0002-6668-4658), Benjamin Herbert (ORCID 0000-0001-6079-6352), Anna-Katharina Praetorius (ORCID 0000-0001-7581-367X)
Source: Educational Studies. 2026 52(3):364-391.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 28
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Teacher Effectiveness, Educational Research, Statistical Analysis, Models, Decision Making, Statistical Inference, Foreign Countries, Administrator Surveys, Teacher Surveys, Outcomes of Education, Interrater Reliability, Predictor Variables, Video Technology
Geographic Terms: Germany
Assessment and Survey Identifiers: Teaching and Learning International Survey
DOI: 10.1080/03055698.2025.2492576
ISSN: 0305-5698
1465-3400
Abstract: The article provides a toolkit for pivotal necessary statistical steps in analysing data from studies conducted to investigate the influence of teaching quality on student outcomes. It further helps researchers make informed decisions about their choices for statistical checks and the analytical model. Issues we elaborate on are measures of reliability at different levels of the model and for different teaching quality assessments, and how decisions about the statistical model influence the estimated effects. We use data from a teaching quality video study (N = 958 students in 41 classes) to address these statistical issues and demonstrate the necessary steps when evaluating and analysing data from such studies. Results show that inferences from analyses can differ depending on the applied statistical model. These findings imply that practitioners should be cautious in interpreting the results from a single modelling approach and should consider running multiple models to compare the consistency of the results.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1504569
Database: ERIC
FullText Text:
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  Data: Statistical Decisions When Modelling Effects of Teaching Quality
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  Data: <searchLink fieldCode="AR" term="%22Carmen+Köhler%22">Carmen Köhler</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6668-4658">0000-0002-6668-4658</externalLink>)<br /><searchLink fieldCode="AR" term="%22Benjamin+Herbert%22">Benjamin Herbert</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6079-6352">0000-0001-6079-6352</externalLink>)<br /><searchLink fieldCode="AR" term="%22Anna-Katharina+Praetorius%22">Anna-Katharina Praetorius</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-7581-367X">0000-0001-7581-367X</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Educational+Studies%22"><i>Educational Studies</i></searchLink>. 2026 52(3):364-391.
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
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  Data: 28
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  Data: <searchLink fieldCode="DE" term="%22Teacher+Effectiveness%22">Teacher Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Inference%22">Statistical Inference</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Administrator+Surveys%22">Administrator Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Surveys%22">Teacher Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Outcomes+of+Education%22">Outcomes of Education</searchLink><br /><searchLink fieldCode="DE" term="%22Interrater+Reliability%22">Interrater Reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink>
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  Data: <searchLink fieldCode="SU" term="%22Teaching+and+Learning+International+Survey%22">Teaching and Learning International Survey</searchLink>
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  Data: 10.1080/03055698.2025.2492576
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  Data: 0305-5698<br />1465-3400
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  Data: The article provides a toolkit for pivotal necessary statistical steps in analysing data from studies conducted to investigate the influence of teaching quality on student outcomes. It further helps researchers make informed decisions about their choices for statistical checks and the analytical model. Issues we elaborate on are measures of reliability at different levels of the model and for different teaching quality assessments, and how decisions about the statistical model influence the estimated effects. We use data from a teaching quality video study (N = 958 students in 41 classes) to address these statistical issues and demonstrate the necessary steps when evaluating and analysing data from such studies. Results show that inferences from analyses can differ depending on the applied statistical model. These findings imply that practitioners should be cautious in interpreting the results from a single modelling approach and should consider running multiple models to compare the consistency of the results.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1504569
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        Value: 10.1080/03055698.2025.2492576
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      – Text: English
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        PageCount: 28
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      – SubjectFull: Teacher Effectiveness
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      – SubjectFull: Educational Research
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      – SubjectFull: Teacher Surveys
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      – SubjectFull: Outcomes of Education
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      – SubjectFull: Interrater Reliability
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      – SubjectFull: Video Technology
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      – SubjectFull: Germany
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      – SubjectFull: Teaching and Learning International Survey
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      – TitleFull: Statistical Decisions When Modelling Effects of Teaching Quality
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