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Influences of School Climate and Teacher’s Behavior on Student’s Competencies in Mathematics and the Territorial Gap between Italian Macro-areas in PISA 2012

Giuseppe Bove, Daniela Marella, Vincenzina Vitale

Abstract


In this study the effects of school and classroom climate and teacher’s behavior on Italian students’ mathematical achievement score in PISA 2012 were investigated. Simple and scale indices provided by the PISA database, constructed by responses from the students’ and principals’ background questionnaires, were considered as predictive variables of the math achievement scores. Multilevel models including all the predictive variables, controlling for some relevant student, family background and school variables, confirmed that perceptions of school and classroom climate and teachers’ behavior influence mathematics performance in PISA. In particular, the effect of the teacher’s use of cognitive activation strategies had the strongest positive effect, followed by the school and classroom climate indicators. Thus, more cognitively activating instruction and an orderly and peaceful atmosphere in schools and classrooms encourage students and help to transform existing interests into mathematic achievement. Our analyses show that these factors can also influence the gap between Northern and Southern Italian macro-areas. When the predictive variables are added to the control variables in our multilevel models including macro-area indicators, the gap between Northern macro-areas and the Southern-Islands decreases by over twenty per cent, and the gap between Northern macro-areas and the Southern by over fourteen per cent. On the basis of these results, we have provided some useful indications for Italian educators and policy makers.


Keywords


Mathematical achievement; Multilevel models; PISA; School climate; Territorial gap

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References


Asparouhov, T. (2006). General multilevel modeling with sampling weights. Communications in Statistics-Theory and Methods, 35(3), 439-460.

Asparouhov, T., & Muthen, B. (2006). Multilevel modeling of complex survey data. Proceedings of the Joint Statistical Meeting in Seattle, August 2006. ASA section on Survey Research Methods, 2718-2726.

Birch, S., & Ladd, G.W. (1998). Children’s interpersonal behaviors and the teacherchild relationship. Developmental Psychology, 34, 934-946.

Bratti, M., Checchi, D., & Filippin, A. (2007). Territorial differences in Italian students’ mathematical competencies: Evidence from PISA 2003. Giornale degli Economisti e Annali di Economia, 66, 299-333.

Bryk, A.S., Sebring, P.B., Allensworth, E., Luppescu, S., & Easton, J.Q. (2010). Organizing schools for improvement: Lessons from Chicago. Chicago: University of Chicago Press.

Checchi, D. (2004). Da dove vengono le competenze scolastiche? L’indagine PISA 2000 in Italia [Where do scolastic skills come from? The PISA 2000 survey in Italy]. Stato e Mercato, 72, 413-453.

Claes, E., Hooghe, M., & Reeskens, T. (2009). Truancy as a contextual and schoolrelated problem: A comparative multilevel analysis of country and school characteristics on civic knowledge among 14 year olds. Educational Studies, 35, 123-142.

Goh, S.C., & Fraser, B. J. (1998). Teacher interpersonal behavior, classroom environment and student outcomes in primary mathematics in Singapore. Learning Environments Research, 1, 199-229.

Grilli, L., & Rampichini, C. (2011). The role of sample cluster means in multilevel models. A view of endogenity and measurement error issues. Methodology, 7(4), 121-133.

Hox, J.J. (2010). Multilevel analysis: Techniques and applications (2nd ed.). New York: Routledge.

INVALSI (2013). OCSE PISA 2012. Italian national report INVALSI. Frascati (Italy).

Jennings, P.A., & Greenberg, M.T. (2009). The prosocial classroom: Teacher social and emotional competence in relation to student and classroom outcomes. Review of Educational Research, 79, 491-525.

Konishi, C., Hymel, S., Zumbo, B.D., & Li, Z. (2010). Do school bullying and student-teacher relationships matter for academic achievement? A multilevel analysis. Canadian Journal of School Psychology, 25, 19-39.

Kunter, M., Baumert, J., Blum, W., Klusmann, U., Kraus, S., & Neubrand, M. (2013). Cognitive activation in the mathematics classroom and professional competence of teachers. Results from the COACTIV project. New York: Springer.

Lee, V.E., & Bryk, A.S. (1989). A multilevel model of the social distribution of high school achievement. Sociology of Education, 62, 172-192.

Lüdtke, O., Marsh, H.W., Robitzsch, A., Trautwein, U., Asparouhov, T., & Muthen, B. (2008). The multilevel latent covariate model: A new reliable approach to group level effects in contextual studies. Psychological Methods, 13, 203-229.

Luiselli, J., Putnam, R., Handler, M., & Feinberg, A. (2005). Whole-school positive behaviour support: Effects on student discipline problems and academic performance. Educational Psychology, 25, 183-198.

Mislevy, R.J. (1991). Randomization-based inference about latent variables from complex samples. Psychometrika, 56, 177-196.

Muthén, L.K., & Muthén, B.O. (1998-2010). Mplus user’s guide (6th ed.). Los Angeles: Muthén & Muthén.

OECD (2009). PISA 2009. Data analysis manual: SPSS and SAS (2nd ed.). Paris: OECD.

OECD (2013a). PISA 2012. Results: What makes schools successful? Resources, policies and practices (Volume IV). Paris: OECD.

OECD (2013b). PISA 2012. Assessment and analytical framework: Mathematics, reading, science, problem solving and financial literacy. Paris: OECD.

OECD (2013c). PISA 2012. Results. Ready to learn: Students’ engagement, drive and self-beliefs (Volume III). Paris: OECD.

OECD (2014). PISA 2012. Technical report. Paris: OECD.

Perše, T.V., Kozina, A., & Leban, T.R. (2011). Negative school factors and their influence on math and science achievement in TIMSS 2003. Educational Studies, 37, 265-276.

Pfeffermann, D., Skinner, C., Holmes, D.J., Goldstein, H., & Rasbash, J. (1998). Weighting for unequal selection probabilities in multilevel models. Journal of the Royal Statistical Society, s. B, 60(1), 23-40.

Power, F.C., Higgins, A., & Kohlberg, L. (1989). Lawrence Kohlberg’s approach to moral education. New York: Columbia University Press.

Quintano, C., Castellano, R., & Longobardi, S. (2010). Gli studenti italiani e il literacy divide: differenziali territoriali delle competenze e del comportamento di risposta [Italian students and literacy divide: Territorial differences of skills and behavior response]. In INVALSI (2010). PISA 2006. Approfondimenti tematici e metodologici. Roma: Armando.

Satorra, A., & Bentler, P.M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507-514.

Seidel, T., & Shavelson, R. (2007). Teaching effectiveness research in the past decade: The role of theory and research design in disentangling meta-analysis results. Review of Educational Research, 77(4), 454-499.

Shayer, M., & Adhami, M. (2007). Fostering cognitive development through the context of mathematics. Results of the CAME project. Educational Studies in Mathematics, 64(3), 265-291.

Snijders, T.A.B., & Bosker, R.J. (2012). Multilevel analysis. An introduction to basic and advanced multilevel modeling (2nd ed.). Los Angeles: Sage.

Stein, M.K., & Lane, S. (1996). Instructional tasks and the development of student capacity to think and reason: An analysis of the relationship between teaching and learning in a reform mathematics project. Educational Research and Evaluation, 2(1), 50-80.

Stewart, E.B. (2008). School structural characteristics, student effort, peer associations, and parental involvement: The influence of school- and individual-level factors on academic achievement. Education & Urban Society, 40, 179-204.

Torney-Purta, J., Lehmann, R., Oswald, H., & Schulz, W. (2001). Citizenship and education in twenty-eight countries: Civic knowledge and engagement at age 14. Amsterdam: IEA.

Turner, J.C., Cox, K.E., DiCintio, M., Meyer, D.K., Logan, C., & Thomas, C. (1998). Creating contexts for involvement in mathematics. Journal of Educational Psychology, 90(4), 730-745.

Wang, M.C., Haertel, G.D., & Walberg, H.J. (1993). Toward a knowledge base for school learning. Review of Educational Research, 6(3), 249-294.

Wenglinsky, H. (2002). How schools matter: The link between teacher classroom practices and student academic performance. Education Policy Analysis Archives, 10(12). Retrieved (29/06/2015) from: http://epaa.asu.edu/epaa/v10n12/

Zins, J.E., Bloodworth, M.R., Weissberg, R.P., & Walberg, H.J. (2004). The scientific base linking social and emotional learning to school success. In J. Zins, R. Weissberg, M. Wang, & H. Walberg (Eds.), Building academic success on social and emotional learning: What does the research say? (pp. 3-22). New York: Teachers College Press.




DOI: https://doi.org/10.7358/ecps-2016-013-bove



 


Journal of Educational, Cultural and Psychological Studies (ECPS)
Registered by Tribunale di Milano (19/05/2010 n. 278)
Online ISSN 2037-7924 - Print ISSN 2037-7932

Research Laboratory on Didactics and Evaluation - Department of Education - "Roma Tre" University


Executive Editor: Gaetano Domenici - Managing  Editor: Valeria Biasci
Editorial Board: Giuditta Alessandrini - Eleftheria Argyropoulou - Massimo Baldacci - Joao Barroso - Richard Bates - Christofer Bezzina - Paolo Bonaiuto - Lucia Boncori - Pietro Boscolo - Sara Bubb  - Carlo Felice Casula - Jean-Émile Charlier - Lucia Chiappetta Cajola - Carmela Covato - Jean-Louis Derouet - Peter Early - Franco Frabboni - Constance Katz - James Levin - Pietro Lucisano  - Roberto Maragliano - Romuald Normand - Michael Osborne - Donatella Palomba - Michele Pellerey - Clotilde Pontecorvo - Vitaly V. Rubtzov - Jaap Scheerens - Noah W. Sobe - Francesco Susi - Giuseppe Spadafora - Pat Thomson
Editorial Staff: Fabio Alivernini - Guido Benvenuto - Anna Maria Ciraci - Massimiliano Fiorucci - Luca Mallia - Massimo Margottini - Giovanni Moretti - Carla Roverselli 
Editorial Secretary:
Nazarena Patrizi