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Published in: Educational Assessment, Evaluation and Accountability 3/2020

17-07-2020

Do student ratings provide reliable and valid information about teaching quality at the school level? Evaluating measures of science teaching in PISA 2015

Authors: Anindito Aditomo, Carmen Köhler

Published in: Educational Assessment, Evaluation and Accountability | Issue 3/2020

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Abstract

Large-scale educational surveys, including PISA, often collect student ratings to assess teaching quality. Because of the sampling design in PISA, student ratings must be aggregated at the school level instead of the classroom level. To what extent does school-level aggregation of student ratings yield reliable and valid measures of teaching quality? We investigate this question for six scales measuring classroom management, emotional support, inquiry-based instruction, teacher-directed instruction, adaptive instruction, and feedback provided by PISA 2015. The sample consisted of 503,146 students from 17,678 schools in 69 countries/regions. Multilevel CFA and SEM were conducted for each scale in each country/region to evaluate school-level reliability (intraclass correlations 1 and 2), factorial validity, and predictive validity. In most countries/regions, school-level reliability was found to be adequate for the classroom management scale, but only low to moderate for the other scales. Examination of factorial and predictive validity indicated that the classroom management, emotional support, adaptive instruction, and teacher-directed instruction scales capture meaningful differences in teaching quality between schools. Meanwhile, the inquiry scale exhibited poor validity in almost all countries/regions. These findings suggest the possibility of using student ratings in PISA to investigate some aspects of school-level teaching quality in most countries/regions.

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Appendix
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Literature
go back to reference Aditomo, A. (2020). Science teaching practices in Indonesian secondary schools: a portrait of educational quality and equity based on PISA 2015. In A. Suryani, H. Masalam, & I. Tirtowalujo (Eds.), Preparing Indonesian youth: a review of educational research. Brill: Leiden. Aditomo, A. (2020). Science teaching practices in Indonesian secondary schools: a portrait of educational quality and equity based on PISA 2015. In A. Suryani, H. Masalam, & I. Tirtowalujo (Eds.), Preparing Indonesian youth: a review of educational research. Brill: Leiden.
go back to reference Aldrup, K., Klusmann, U., Lüdtke, O., Göllner, R., Trautwein, U., Aldrup, K., & Klusmann, U. (2018). Social support and classroom management are related to secondary students’ general school adjustment: a multilevel structural equation model using student and teacher ratings. Journal of Educational Psychology., 110, 1066–1083.CrossRef Aldrup, K., Klusmann, U., Lüdtke, O., Göllner, R., Trautwein, U., Aldrup, K., & Klusmann, U. (2018). Social support and classroom management are related to secondary students’ general school adjustment: a multilevel structural equation model using student and teacher ratings. Journal of Educational Psychology., 110, 1066–1083.CrossRef
go back to reference Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How people learn: brain, mind, experience, and school. Washington DC: National Academies Press. Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How people learn: brain, mind, experience, and school. Washington DC: National Academies Press.
go back to reference Breakspear, S. (2012). The policy impact of PISA: an exploration of the normative effects of international benchmarking in school system performance. OECD Education Working Papers, No. 71. OECD Publishing (NJ1), (71). Retrieved from http://eric.ed.gov/?id=ED530643. Breakspear, S. (2012). The policy impact of PISA: an exploration of the normative effects of international benchmarking in school system performance. OECD Education Working Papers, No. 71. OECD Publishing (NJ1), (71). Retrieved from http://​eric.​ed.​gov/​?​id=​ED530643.
go back to reference Brown, T. A. (2015). Confirmatory factor analysis for applied research second edition (2nd ed.). New York: The Guilford Press. Brown, T. A. (2015). Confirmatory factor analysis for applied research second edition (2nd ed.). New York: The Guilford Press.
go back to reference Carroll, J. B. (1989). The Carroll Model: a 25-year retrospective and prospective view. Educational Researcher, 18(1), 26–31.CrossRef Carroll, J. B. (1989). The Carroll Model: a 25-year retrospective and prospective view. Educational Researcher, 18(1), 26–31.CrossRef
go back to reference Cooley, W., & Leinhardt, G. (1980). The instructional dimensions study. Educational Evaluation and Policy Analysis, 2, 7–25.CrossRef Cooley, W., & Leinhardt, G. (1980). The instructional dimensions study. Educational Evaluation and Policy Analysis, 2, 7–25.CrossRef
go back to reference Creemers, B. P. M. (1994). The effective classroom. New York: Cassell. Creemers, B. P. M. (1994). The effective classroom. New York: Cassell.
go back to reference Decristan, J., Kunter, M., Fauth, B., Büttner, G., Hardy, I., & Hertel, S. (2016). What role does instructional quality play for elementary school children’s science competence?: a focus on students at risk/Zur Bedeutung von Unterrichtsqualität für die naturwissenschaftliche Kompetenz von Grundschulkindern. Journal for Educational Research Online, 8(1), 66–89. Decristan, J., Kunter, M., Fauth, B., Büttner, G., Hardy, I., & Hertel, S. (2016). What role does instructional quality play for elementary school children’s science competence?: a focus on students at risk/Zur Bedeutung von Unterrichtsqualität für die naturwissenschaftliche Kompetenz von Grundschulkindern. Journal for Educational Research Online, 8(1), 66–89.
go back to reference Egeberg, H. M., Mcconney, A., & Price, A. (2016). Classroom management and national professional standards for teachers: a review of the literature on theory and practice. Australian Journal of Teacher Education, 41(7), 1–18.CrossRef Egeberg, H. M., Mcconney, A., & Price, A. (2016). Classroom management and national professional standards for teachers: a review of the literature on theory and practice. Australian Journal of Teacher Education, 41(7), 1–18.CrossRef
go back to reference Gershenson, S. (2016). Linking teacher quality, student attendance, and student achievement. Education Finance and Policy, 11, 125–149.CrossRef Gershenson, S. (2016). Linking teacher quality, student attendance, and student achievement. Education Finance and Policy, 11, 125–149.CrossRef
go back to reference Goldstein, H. (1997). Methods in school effectiveness research. School Effectiveness and School Improvement, 8, 369–395.CrossRef Goldstein, H. (1997). Methods in school effectiveness research. School Effectiveness and School Improvement, 8, 369–395.CrossRef
go back to reference He, J., & van de Vijver, F. J. R. (2013). Methodological issues in cross-cultural studies in educational psychology. In G. A. D. Liem & A. B. I. Bernardo (Eds.), Advancing cross-cultural perspectives on educational psychology (pp. 39–56). Charlotte, NC: Information Age Publishing. He, J., & van de Vijver, F. J. R. (2013). Methodological issues in cross-cultural studies in educational psychology. In G. A. D. Liem & A. B. I. Bernardo (Eds.), Advancing cross-cultural perspectives on educational psychology (pp. 39–56). Charlotte, NC: Information Age Publishing.
go back to reference Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal1, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.CrossRef Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal1, 6(1), 1–55. https://​doi.​org/​10.​1080/​1070551990954011​8.CrossRef
go back to reference Hutchinson, D., & Healy, M. (2001). The effect on variance component estimates of ignoring a level in a multilevel model. Multilevel Modeling Newsletter, 13(2), 4–5. Hutchinson, D., & Healy, M. (2001). The effect on variance component estimates of ignoring a level in a multilevel model. Multilevel Modeling Newsletter, 13(2), 4–5.
go back to reference Hwang, J., Choi, K. M., Bae, Y., & Shin, D. H. (2018). Do teachers’ instructional practices moderate equity in mathematical and scientific literacy?: an investigation of the PISA 2012 and 2015. International Journal of Science and Mathematics Education, 16, 25–45. https://doi.org/10.1007/s10763-018-9909-8.CrossRef Hwang, J., Choi, K. M., Bae, Y., & Shin, D. H. (2018). Do teachers’ instructional practices moderate equity in mathematical and scientific literacy?: an investigation of the PISA 2012 and 2015. International Journal of Science and Mathematics Education, 16, 25–45. https://​doi.​org/​10.​1007/​s10763-018-9909-8.CrossRef
go back to reference Jackson C. K. (2012). Non-cognitive ability, test scores, and teacher quality: evidence from 9th grade teachers in North Carolina (NBER Working Paper No. 18624). Cambridge, MA: National Bureau for Economic Research. Jackson C. K. (2012). Non-cognitive ability, test scores, and teacher quality: evidence from 9th grade teachers in North Carolina (NBER Working Paper No. 18624). Cambridge, MA: National Bureau for Economic Research.
go back to reference James, L. R., Demaree, R. G., & Wolf, G. (1984). Estimating within-group interrater reliability with and without response bias. Estimating Within-Group Interrater Reliability with and without Response Bias, 69(1), 85–98. James, L. R., Demaree, R. G., & Wolf, G. (1984). Estimating within-group interrater reliability with and without response bias. Estimating Within-Group Interrater Reliability with and without Response Bias, 69(1), 85–98.
go back to reference Jennings, J. L., & Di Prete, T. A. (2010). Teacher effects on social and behavioral skills in early elementary school. Sociology of Education, 83, 135–159.CrossRef Jennings, J. L., & Di Prete, T. A. (2010). Teacher effects on social and behavioral skills in early elementary school. Sociology of Education, 83, 135–159.CrossRef
go back to reference Kelloway, E. K. (2015). Using Mplus for structural equation modeling (2nd ed.). Thousand Oaks: Sage Publications. Kelloway, E. K. (2015). Using Mplus for structural equation modeling (2nd ed.). Thousand Oaks: Sage Publications.
go back to reference Klein, K. J., Bliese, P. D., Kozlowski, S. W. J., Dansereau, F., Gavin, M. B., Griffin, M. A., … Bligh, M. C. (2000). Multilevel analytical techniques: commonalities, differences, and continuing questions. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations, and methods in organizations: foundations, extensions, and new directions (pp. 512–553). San Francisco: Jossey-Bass. Klein, K. J., Bliese, P. D., Kozlowski, S. W. J., Dansereau, F., Gavin, M. B., Griffin, M. A., … Bligh, M. C. (2000). Multilevel analytical techniques: commonalities, differences, and continuing questions. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations, and methods in organizations: foundations, extensions, and new directions (pp. 512–553). San Francisco: Jossey-Bass.
go back to reference Klieme, E. (2013). The role of large-scale assessments in research on educational effectiveness and school development. In M. von Davier, E. Gonzalez, I. Kirsch, & K. Yamamoto (Eds.), The role of international large-scale assessments: perspectives from technology, economy, and educational research (pp. 115–148). Dordrecht: Springer.CrossRef Klieme, E. (2013). The role of large-scale assessments in research on educational effectiveness and school development. In M. von Davier, E. Gonzalez, I. Kirsch, & K. Yamamoto (Eds.), The role of international large-scale assessments: perspectives from technology, economy, and educational research (pp. 115–148). Dordrecht: Springer.CrossRef
go back to reference Klieme, E., Pauli, C., & Reusser, K. (2009). The Pythagoras study: investigating effects of teaching and learning in Swiss and German mathematics classrooms (pp. 137–160). Munster: Waxmann Verlag. Klieme, E., Pauli, C., & Reusser, K. (2009). The Pythagoras study: investigating effects of teaching and learning in Swiss and German mathematics classrooms (pp. 137–160). Munster: Waxmann Verlag.
go back to reference Kyriakides, L., Campbell, R. J., & Gagatsis, A. (2000). The significance of the classroom effect in primary schools: an application of Creemers’ comprehensive model of educational effectiveness. School Effectiveness and School Improvement, 11, 501–529.CrossRef Kyriakides, L., Campbell, R. J., & Gagatsis, A. (2000). The significance of the classroom effect in primary schools: an application of Creemers’ comprehensive model of educational effectiveness. School Effectiveness and School Improvement, 11, 501–529.CrossRef
go back to reference Lüdtke, O., Marsh, H. W., Robitzsch, A., & Trautwein, U. (2011). A 2 x 2 taxonomy of multilevel latent contextual models: accuracy-bias trade-offs in full and partial error correction models. Psychological Methods, 16(4), 444–467. https://doi.org/10.1037/a0024376.CrossRef Lüdtke, O., Marsh, H. W., Robitzsch, A., & Trautwein, U. (2011). A 2 x 2 taxonomy of multilevel latent contextual models: accuracy-bias trade-offs in full and partial error correction models. Psychological Methods, 16(4), 444–467. https://​doi.​org/​10.​1037/​a0024376.CrossRef
go back to reference Marsh, H. W., & Roche, L. A. (1997). Making students’ evaluations of teaching effectiveness effective: the critical issues of validity, bias, and utility. American Psychologist, 52(11), 1187–1197.CrossRef Marsh, H. W., & Roche, L. A. (1997). Making students’ evaluations of teaching effectiveness effective: the critical issues of validity, bias, and utility. American Psychologist, 52(11), 1187–1197.CrossRef
go back to reference Marsh, H. W., Hau, K-T., & Wen, Z. (2004). In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341. https://doi.org/10.1207/s15328007sem1103_2. Marsh, H. W., Hau, K-T., & Wen, Z. (2004). In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 320–341. https://​doi.​org/​10.​1207/​s15328007sem1103​_​2.
go back to reference Martínez, J.F. (2012). Consequences of omitting the classroom in multilevel models of schooling: an illustration using opportunity to learn and reading achievement. School Effectiveness and School Improvement, 23(13), 305–326. Martínez, J.F. (2012). Consequences of omitting the classroom in multilevel models of schooling: an illustration using opportunity to learn and reading achievement. School Effectiveness and School Improvement, 23(13), 305–326.
go back to reference Moerbeek, M. (2004). The consequence of ignoring a level of nesting in multilevel analysis. Multivariate Behavioral Research, 39, 127–149.CrossRef Moerbeek, M. (2004). The consequence of ignoring a level of nesting in multilevel analysis. Multivariate Behavioral Research, 39, 127–149.CrossRef
go back to reference Müller, K., Prenzel, M., Seidel, T., Schiepe-tiska, A., & Kjærnsli, M. (2016). Science teaching and learning in schools: theoretical and empirical foundations for investigating classroom-level processes. In S. Kuger, E. Klieme, N. Jude, & D. Kaplan (Eds.), Assessing contexts of learning: an international perspective (pp. 423–446). Switzerland: Springer International. https://doi.org/10.1007/978-3-319-45357-6.CrossRef Müller, K., Prenzel, M., Seidel, T., Schiepe-tiska, A., & Kjærnsli, M. (2016). Science teaching and learning in schools: theoretical and empirical foundations for investigating classroom-level processes. In S. Kuger, E. Klieme, N. Jude, & D. Kaplan (Eds.), Assessing contexts of learning: an international perspective (pp. 423–446). Switzerland: Springer International. https://​doi.​org/​10.​1007/​978-3-319-45357-6.CrossRef
go back to reference Muthe’n, B. (1991). Multilevel factor analysis of class and student achievement components. Journal of Educational Measurement, 28, 338–354.CrossRef Muthe’n, B. (1991). Multilevel factor analysis of class and student achievement components. Journal of Educational Measurement, 28, 338–354.CrossRef
go back to reference Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th ed.). Los Angeles: Muthén & Muthén. Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th ed.). Los Angeles: Muthén & Muthén.
go back to reference OECD. (2017). PISA 2015 technical report. Paris: OECD Publishing. OECD. (2017). PISA 2015 technical report. Paris: OECD Publishing.
go back to reference Perry, J. L., Nicholls, A. R., Clough, P. J., & Crust, L. (2015). Assessing model fit: caveats and recommendations for confirmatory factor analysis and exploratory structural equation modeling. Measurement in Physical Education and Exercise Science, 19(1), 12–21, https://doi.org/10.1080/1091367X.2014.952370. Perry, J. L., Nicholls, A. R., Clough, P. J., & Crust, L. (2015). Assessing model fit: caveats and recommendations for confirmatory factor analysis and exploratory structural equation modeling. Measurement in Physical Education and Exercise Science, 19(1), 12–21, https://​doi.​org/​10.​1080/​1091367X.​2014.​952370.
go back to reference Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods. Thousand Oaks: Sage. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods. Thousand Oaks: Sage.
go back to reference Raudensbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods (2nd ed.). Thousand Oaks: Sage. Raudensbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods (2nd ed.). Thousand Oaks: Sage.
go back to reference Scheerens, J. & Creemers, BPM. (1989). Conceptualizing school effectiveness. International Journal of Educational Research, 13(7), 691–706. Scheerens, J. & Creemers, BPM. (1989). Conceptualizing school effectiveness. International Journal of Educational Research, 13(7), 691–706.
go back to reference Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.CrossRef Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.CrossRef
go back to reference Wagner, W., Göllner, R., Werth, S., Voss, T., Schmitz, B., & Trautwein, U. (2016). Student and teacher ratings of instructional quality: consistency of ratings over time, agreement, and predictive power. Journal of Educational Psychology, 108(5), 705–721.CrossRef Wagner, W., Göllner, R., Werth, S., Voss, T., Schmitz, B., & Trautwein, U. (2016). Student and teacher ratings of instructional quality: consistency of ratings over time, agreement, and predictive power. Journal of Educational Psychology, 108(5), 705–721.CrossRef
Metadata
Title
Do student ratings provide reliable and valid information about teaching quality at the school level? Evaluating measures of science teaching in PISA 2015
Authors
Anindito Aditomo
Carmen Köhler
Publication date
17-07-2020
Publisher
Springer Netherlands
Published in
Educational Assessment, Evaluation and Accountability / Issue 3/2020
Print ISSN: 1874-8597
Electronic ISSN: 1874-8600
DOI
https://doi.org/10.1007/s11092-020-09328-6

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