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A Structural Equation Modeling on Factors of How Experienced Teachers Affect the Students’ Science and Mathematics Achievements

DOI: 10.1155/2014/490371

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Abstract:

The main purpose of this study was to propose a model for how elementary school students’ science and mathematics achievements in their schools and in Level Determination Exam (SBS) depend on the number of teachers and expert teachers in their schools. The sample of the study was 5672 elementary students for the purpose of the study, the number of teachers and expert teachers who worked in sample schools has been defined as independent variables, and students’ science and mathematics achievements in their schools and in SBS exam have been defined as dependent variables. The data obtained from school administrations were analyzed using structural equation modeling to analyze relations among students’ science and mathematics grades in their schools and science and mathematics achievements in SBS exam and the number of teachers and expert teachers in their school. As a result of the analysis, it has been observed that established model has acceptable fit indices and an increasing number of teachers and expert teachers have positive effects on students' science and mathematics achievements. 1. Introduction and Literature Review The main purpose of education systems is to reveal desired behaviors to students. The most important of these desired behaviors is the academic achievement of the students performed at school. Students’ academic success and factors affecting students’ science and mathematics achievement parallel to this study have been research subject of many researchers [1–13] as well as many different institutions and have come to the fore in the results of universally made exams such as TIMSS and PISA. The third international mathematics and science study (TIMSS) is the broadest study which is carried out by IAE (International Association for the Evaluation of Educational Achievement) and takes in the students of 38 countries in which Turkey was included in 1999. The main purpose of TIMSS, generalizability of which is admitted to be high in terms of sample which is used also by researchers [4], is to constitute a basis which will provide the countries to see their own programs and teaching methods and present the relation between the programs and methods with students’ mathematics and science achievements, in order to develop the teaching and learning of mathematics and science worldwide [14]. According to TIMSS reports, as a result of the exam which is made to 8th grade students who receive education in Turkey, Turkey is ranked at the 33rd place in science and 31st place in mathematics [15, 16]. Similar results are seen in the results of Program

References

[1]  K. Bos and W. Kuiper, “Modeling TIMSS data in a European comparative perspective: exploring influencing factors on achievement in mathematics in Grade 8,” Educational Research and Evaluation, vol. 5, no. 2, pp. 157–179, 1999.
[2]  C. Shen, “Social values associated with cross-national differences in mathematics and science achievement,” Assessment in Education, vol. 8, no. 2, pp. 193–223, 1999.
[3]  F. K. Leung, “Behind the high achievement of east Asian students,” Educational Research and Evaluation, vol. 8, pp. 87–108, 2002.
[4]  G. Berbero?lu, ?. ?elebi, E. ?zdemir, E. Uysal, and B. Yayan, “Factors that affect the achievement levels of the Turkish students in Third International Mathematics and Science Study-TIMSS,” Educational Sciences and Application, vol. 2, no. 3, pp. 3–14, 2003 (Turkish).
[5]  ?. ??, A cross-cultural comparison of factors affecting mathematical literacy of students in programme for international student assessment (PISA) [M.S. thesis], Middle East Technical University.
[6]  T. R. Koballa and S. M. Glynn, “Attitudinal and motivational constructs in science learning,” in Handbook for Research in Science Education, S. K. Abell and N. Lederman, Eds., Earlbaum, Mahwah, NJ, USA, 2004.
[7]  B. Yayan and G. Berberoglu, “A re-analysis of the TIMSS 1999 mathematics assessment data of the Turkish students,” Studies in Educational Evaluation, vol. 30, no. 1, pp. 87–104, 2004.
[8]  G. Akyüz, “Investigation of the effects of the teacher and classroom attributes on mathematics achievement in Turkey and the European Union countries,” Primary Education Online, vol. 5, no. 2, pp. 75–86, 2006 (Turkish).
[9]  J. D. House, “Mathematics beliefs and achievement of elementary school students in Japan and the United States: results from the Third International Mathematics and Science study,” The Journal of Genetic Psychology, vol. 167, no. 1, pp. 31–45, 2006.
[10]  E. Ceylan and G. Berbero?lu, “Factors that explain the science achievements of students: a modeling study,” Education and Science, vol. 32, no. 144, pp. 36–48, 2007 (Turkish).
[11]  S. A. Altun and M. ?akan, “Factors that affect the central exam achievements of students: sample of successful provinces in ?SS/LGS,” Primary Education Online, vol. 7, no. 1, pp. 157–173, 2008 (Turkish).
[12]  ?. üzkurt and M. Ko?ako?lu, “Correlation between 7th grade students' school achievements and exam of determining the levels (SBS),” in Proceedings of the 1st International Congress of Educational Research, ?anakkale, Turkey, May 2009, (Turkish).
[13]  S. Uzun, S. ?. Bütüner, and N. Yigit, “Comparison of the 1999–2007 TIMSS's reports,” Primary Education Online, vol. 9, no. 3, pp. 1174–1188, 2010 (Turkish).
[14]  D. F. Robitaille and E. D. Robeck, “The character and the context of TIMSS,” in Research Questions and Study Design. TIMSS Monograph N.2, D. F. Robitaille and R. A. Garden, Eds., Pasific Educational Press, Vancouver, Canada, 1996.
[15]  M. O. Martin, K. D. Gregory, and S. E. Stemler, TIMSS 1999 Technical Report: IEA’s Repeat of the Third International Mathematics and Science Study at the Eighth Grade, Boston College, Chestnut Hill, Mass, USA, 2000.
[16]  I. V. S. Mullis, M. O. Martin, E. J. Gonzales et al., TIMSS I999 International Mathematics Report: Findings fi-om IEA’s Repeat of the Third International Mathematics and Science Study at the Eighth Grade, Boston College, Chestnut Hill, Mass, USA, 2000.
[17]  M. ?akan, “Examination of concepts of intelligence and cognitive styles and their importance in terms of student achievement,” Educational Researches, vol. 8, pp. 86–95, 2002 (Turkish).
[18]  W. Wendling and J. Cohen, “Education resources and student achievement: good news for schools,” Journal of Education Finance, vol. 7, pp. 44–63, 1981.
[19]  R. Greenwald, L. V. Hedges, and R. D. Laine, “The effect of school resources on student achievement,” Review of Educational Research, vol. 66, no. 3, pp. 361–396, 1996.
[20]  D. D. Goldhaber and D. J. Brewer, “Evaluating the effect of teacher degree level on educational performance,” in Developments in School Finance, J. W. Fowler, Ed., US Department of Education, National Center for Education Statistics, Washington, DC, USA, 1997.
[21]  A. J. Wayne and P. Youngs, “Teacher characteristics and student achievement gains: a review,” Review of Educational Research, vol. 73, no. 1, pp. 89–122, 2003.
[22]  E. A. Hanushek and S. G. Rivkin, “How to improve the supply of high quality teachers,” in Brookings Papers on Education Policy 2004, D. Ravitch, Ed., Brookings Institution Press, Washington, DC, USA, 2004.
[23]  E. A. Hanushek, “What if there are no “best practices”?” Scottish Journal of Political Economy, vol. 51, no. 2, pp. 156–172, 2004.
[24]  V. Y?lmaz, H. E. ?elik, and E. H. Ekiz, “Investigation of the factors that affect the Authority's Commitment with structural equation modeling; a sample of bank of primary and government,” Journal of Social Sciences, vol. 2, pp. 171–184, 2006 (Turkish).
[25]  J. H. Hair, R. L. Tatham, and R. E. Anderson, Multivariate Data Analysis, Prentice Hall International, New York, NY, USA, 5th edition, 1998.
[26]  Information Technology Services, “Structural Equation Modeling Using AMOS: An Introduction,” 2004, http://www.utexas.edu/its/rc/tutorials/stat/amos/.
[27]  J. J. Hox and T. M. Bechger, “An introduction to structural equation modeling,” Family Science Review, vol. 11, pp. 354–373, 1995.
[28]  J. G. Anderson, “The basic of structural equation model,” 2004, http://web.ics.purdue.edu/~janders1/assets/pdf/SOC_681_Structural_Equation_Models_Syllabus_2011.pdf .
[29]  H. W. Marsh and D. Hocevar, “Application of confirmatory factor analysis to the study of self-concept. First- and higher order factor models and their invariance across groups,” Psychological Bulletin, vol. 97, no. 3, pp. 562–582, 1985.
[30]  M. W. Browne, R. Cudeck, K. A. Bollen, and J. S. Long, “Alternative ways of assessing model fit,” in Testing Structural Equation Models, K. A. Bollen and J. S. Long, Eds., pp. 136–162, Sage, Newsbury Park, Calif, USA, 1993.
[31]  B. M. Byrne, Structural Equation Modeling with EQS and EQS/Windows, Sage, Thousand Oaks, Calif, USA, 1994.
[32]  K. G. J?reskog and D. S?rbom, LISREL 7 User's Reference Guide, SPSS Publications, Chicago, Ill, USA, 1989.
[33]  P. M. Bentler and D. G. Bonett, “Significance tests and goodness of fit in the analysis of covariance structures,” Psychological Bulletin, vol. 88, no. 3, pp. 588–606, 1980.
[34]  K. A. Bollen, “A new incremental fit index for general structural equation models,” Sociological Methods and Research, vol. 17, pp. 303–316, 1989.
[35]  K. A. Bollen, “Sample size and bentler and Bonett's nonnormed fit index,” Psychometrika, vol. 51, no. 3, pp. 375–377, 1986.
[36]  R. W. Harbison and E. A. Hanushek, Educational Performance of the Poor: Lessons from Rural Northeast Brazil, Oxford University Press, The World Bank, New York, NY, USA, 1992.

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