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Between-school variation in students' achievement, motivation, affect, and learning strategies

  • To plan group-randomized trials where treatment conditions are assigned to schools, researchers need design parameters that provide information about between-school differences in outcomes as well as the amount of variance that can be explained by covariates at the student (L1) and school (L2) levels. Most previous research has offered these parameters for U.S. samples and for achievement as the outcome. This paper and the online supplementary materials provide design parameters for 81 countries in three broad outcome categories (achievement, affect and motivation, and learning strategies) for domain-general and domain-specific (mathematics, reading, and science) measures. Sociodemographic characteristics were used as covariates. Data from representative samples of 15-year-old students stemmed from five cycles of the Programme for International Student Assessment (PISA; total number of students/schools: 1,905,147/70,098). Between-school differences as well as the amount of variance explained at L1 and L2 varied widely across countriesTo plan group-randomized trials where treatment conditions are assigned to schools, researchers need design parameters that provide information about between-school differences in outcomes as well as the amount of variance that can be explained by covariates at the student (L1) and school (L2) levels. Most previous research has offered these parameters for U.S. samples and for achievement as the outcome. This paper and the online supplementary materials provide design parameters for 81 countries in three broad outcome categories (achievement, affect and motivation, and learning strategies) for domain-general and domain-specific (mathematics, reading, and science) measures. Sociodemographic characteristics were used as covariates. Data from representative samples of 15-year-old students stemmed from five cycles of the Programme for International Student Assessment (PISA; total number of students/schools: 1,905,147/70,098). Between-school differences as well as the amount of variance explained at L1 and L2 varied widely across countries and educational outcomes, demonstrating the limited generalizability of design parameters across these dimensions. The use of the design parameters to plan group-randomized trials is illustrated.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Martin BrunnerORCiDGND, Ulrich Keller, Marina Wenger, Antoine FischbachGND, Oliver LüdtkeORCiDGND
URN:urn:nbn:de:kobv:517-opus4-412662
Titel des übergeordneten Werks (Englisch):Postprints der Universität Potsdam : Humanwissenschaftliche Reihe
Untertitel (Englisch):results from 81 countries for planning group-randomized trials in education
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (465)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:07.08.2018
Erscheinungsjahr:2017
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:07.08.2018
Freies Schlagwort / Tag:affect; design parameters; intraclass correlation; large-scale assessment; learning styles; motivation; multilevel models; student achievement
Ausgabe:465
Seitenanzahl:28
Quelle:Journal of Research on Educational Effectiveness 11 (2018) Nr. 3, S. 452–478 DOI: 10.1080/19345747.2017.1375584
Organisationseinheiten:Humanwissenschaftliche Fakultät
DDC-Klassifikation:3 Sozialwissenschaften / 37 Bildung und Erziehung / 370 Bildung und Erziehung
Peer Review:Referiert
Publikationsweg:Open Access
Fördermittelquelle:Taylor & Francis Open Access Agreement
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
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