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Education Research International
Volume 2011 (2011), Article ID 149530, 7 pages
Research Article

Teacher Efficacy as a Multigroup Model Using Latent Class Analysis

1Department of Teacher Education and Administration, University of North Texas, Denton, TX 76203-5017, USA
2School of Education, Hamline University, Saint Paul, MN 55104-1284, USA

Received 24 August 2010; Accepted 16 November 2010

Academic Editor: Gwo-Jen Hwang

Copyright © 2011 Colleen Eddy and Donald Easton-Brooks. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Anderson, M. Greene, and P. Loewen, “Relationships among teachers' and students' thinking skills, sense of efficacy, and student achievement,” Alberta Journal of Edcuational Research, vol. 34, no. 2, pp. 148–165, 1988. View at Google Scholar
  2. L. G. Enochs, P. L. Smith, and D. Huinker, “Establishing factorial validity of the mathematics teaching efficacy beliefs instrument,” School Science and Mathematics, vol. 100, no. 4, pp. 194–202, 2000. View at Google Scholar
  3. B. Housego, “Monitoring student teachers’ feelings of preparedness to teach and teacher efficacy in a new elementary teacher education program,” Journal of Education for Teaching, vol. 18, no. 3, pp. 259–272, 1992. View at Google Scholar
  4. W. K. Hoy and A. E. Eollfolk, “Socialization of student teachers,” American Education Research Journal, vol. 27, pp. 279–300, 1990. View at Google Scholar
  5. D. Huinker and S. K. Madison, “Preparing efficacious elementary teachers in science and mathematics: the influence of methods courses,” Journal of Science Teacher Education, vol. 8, no. 2, pp. 107–126, 1997. View at Google Scholar
  6. H. Ohmart, The effects of an efficacy intervention on teachers’ efficacy feelings, Unpubished doctoral dissertation, University of Kansas, Lawrence, Kan, USA, 1992, University Microfilms No. UMI 9313150.
  7. I. Riggs, The development of an elementary teachers' science teaching efficacy belief instrument, Unpublished dissertation, Kansas State University, 1988.
  8. M. Tschannen-Moran and A. W. Hoy, “Teacher efficacy: capturing an elusive construct,” Teaching and Teacher Education, vol. 17, no. 7, pp. 783–805, 2001. View at Publisher · View at Google Scholar
  9. C. Benz, L. Bradley, M. Alderman, and M. Flowers, “Personal teaching efficacy: developmental relationships in education,” Journal of Educational Research, vol. 85, no. 5, pp. 274–283, 1992. View at Google Scholar
  10. H. Ebmeier, “How supervision influences teacher efficacy and commitment: an investigation of a path model,” Journal of Curriculum and Supervision, vol. 18, no. 2, pp. 110–141, 2003. View at Google Scholar
  11. J. Gorrell and Y. S. Hwang, “A study of efficacy beliefs among preservice teacher in Korea,” Journal of Research and Development in Education, vol. 28, no. 2, pp. 101–105, 1995. View at Google Scholar
  12. T. R. Guskey and P. D. Passaro, “Teacher efficacy: a study of construct dimensions,” American Educational Research Journal, vol. 31, pp. 627–643, 1994. View at Google Scholar
  13. E. Guyton, M. Fox, and K. Sisk, “Comparison of teaching attitudes, teacher efficacy, and teacher performance of first year teachers prepared by alternative and traditional teacher education programs,” Action in Teacher Education, vol. 13, no. 2, pp. 1–9, 1991. View at Google Scholar
  14. S. P. Rushton, “Student teacher efficacy in inner-city schools,” The Urban Review, vol. 32, no. 4, pp. 365–383, 2000. View at Google Scholar
  15. S. Swars, L. C. Hart, S. Z. Smith, M. E. Smith, and T. Tolar, “A longitudinal study of elementary pre-service teachers' mathematics beliefs and content knowledge,” School Science and Mathematics, vol. 107, no. 8, pp. 325–335, 2007. View at Google Scholar
  16. J. D. Wilson, “An evaluation of the field experiences of the innovative model for the preparation of elementary teachers for science, mathematics, and technology,” Journal of Teacher Education, vol. 47, no. 1, pp. 53–59, 1996. View at Google Scholar
  17. P. T. Ashton and R. Webb, Making a Difference: Teacher’s Sense of Efficacy and Student Achievement, Longman, New York, NY, USA, 1986.
  18. G. Gerges, “Factors influencing preservice teachers’ variation in use of instructional methods: why is teacher efficacy not a significant contributor?” Teacher Education Quarterly, pp. 71–88, 2001. View at Google Scholar
  19. S. Gibson and M. H. Dembo, “Teacher efficacy: a construct validation,” Journal of Educational Psychology, vol. 76, no. 4, pp. 569–582, 1984. View at Publisher · View at Google Scholar
  20. L. C. Soodak and D. M. Podell, “Efficacy and experience: perceptions of efficacy among preservice and practicing teachers,” Journal of Research and Development in Education, vol. 30, no. 4, pp. 214–221, 1997. View at Google Scholar
  21. S. L. Swars, “Examining perceptions of mathematics teaching effectiveness among elementary preservice teachers with differing levels of mathematics teacher efficacy,” Journal of Instructional Psychology, vol. 32, no. 2, pp. 139–147, 2005. View at Google Scholar
  22. A. E. Woolfolk and W. K. Hoy, “Prospective teachers’ sense of efficacy and beliefs about control,” Journal of Educational Psychology, vol. 82, no. 1, pp. 81–91, 1990. View at Google Scholar
  23. TP. Meiser, M. Hein-Eggers, P. Rompe, and G. Rudinger, “Analyzing homogeneity and heterogeneity of change using rasch and latent class models: a comparative and integrative approach,” Applied Psychological Measurement, vol. 19, no. 4, pp. 377–391, 1995. View at Google Scholar
  24. G. J. McLachlan, “On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture,” Applied Statistics, vol. 36, no. 3, pp. 318–324, 1987. View at Google Scholar
  25. J. S. Uebersax, “Probit latent class analysis with dichotomous or ordered category measures: conditional independence/dependence models,” Applied Psychological Measurement, vol. 23, no. 4, pp. 283–297, 1999. View at Publisher · View at Google Scholar
  26. A. Bandura, “Self-efficacy: toward a unifying theory of behavioral change,” Psychological Review, vol. 84, no. 2, pp. 191–215, 1977. View at Publisher · View at Google Scholar
  27. J. B. Rotter, “Generalized expectancies for internal versus external control of reinforcement,” Psychological monographs, vol. 80, no. 1, pp. 1–28, 1966. View at Google Scholar
  28. A. Bandura, Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice-Hall, Englewood Cliffs, NJ, USA, 1986.
  29. L. G. Enochs and I. M. Riggs, “Further development of an elementary science teaching efficacy belief instrument: a preservice elementary scale,” School Science and Mathematics, vol. 90, pp. 695–706, 1990. View at Google Scholar
  30. A. Bandura, Self-Efficacy: The Exercise of Control, W. H. Freeman and Company, New York, NY, USA, 1997.
  31. P. Ashton, A Study of Teachers' Sense of Efficacy. Final Report, Volume I, Document Reproduction Service No. ED231834, ERIC, 1982.
  32. C. S. Weinstein, “Preservice teachers' expectations about the first year of teaching,” Teaching and Teacher Education, vol. 4, no. 1, pp. 31–40, 1988. View at Google Scholar
  33. A. W. Hoy and R. B. Spero, “Changes in teacher efficacy during the early years of teaching: a comparison of four measures,” Teaching and Teacher Education, vol. 21, no. 4, pp. 343–356, 2005. View at Publisher · View at Google Scholar
  34. D. C. Howell, Statistical Methods for Psychology, Thomson Wadworth, Belmont, Calif, USA, 6th edition, 2007.
  35. J. Cohen, “The cost of dichotomization,” Applied Psychological Measurement, vol. 7, pp. 249–253, 1983. View at Publisher · View at Google Scholar
  36. P. Lazarsfeld and N. Henry, Latent Structure Analysis, Houghton Mifflin, New York, NY, USA, 1968.
  37. A. L. McCutcheon, Latent Class Analysis, Sage University Paper, Sage Publication, Newbury Park, Calif, USA, 1987.
  38. T. Jung and K. A. S. Wickrama, “An introduction to latent class growth analysis and growth mixture modeling,” Social and Personality Psychological Compass, vol. 2, pp. 302–317, 2008. View at Google Scholar
  39. S. L. Sclove, “Application of model-selection criteria to some problems in multivariate analysis,” Psychometrika, vol. 52, no. 3, pp. 333–343, 1987. View at Publisher · View at Google Scholar
  40. C. C. Yang, Finite mixture model selection with psychometrics applications, Ph.D. Dissertation, University of California, Los Angeles, Calif, USA, 1998.
  41. Y. Lo, N. R. Mendell, and D. B. Rubin, “Testing the number of components in a normal mixture,” Biometrika, vol. 88, no. 3, pp. 767–778, 2001. View at Google Scholar
  42. B. Muthén, “Latent variable analysis: growth mixture modeling and related techniques for longitudinal data,” in Handbook of Quantitative Methodology for the Social Sciences, D. Kaplan, Ed., pp. 345–368, Sage Publications, Newbury Park, Calif, USA, 2004. View at Google Scholar
  43. V. Ramaswamy, W. de Sarbo, D. Reibstein, and W. Robinson, “An empirical pooling approach for estimating marketing mix elasticities with PIMS data,” Marketing Science, vol. 12, pp. 103–124, 1993. View at Google Scholar
  44. G. J. McLachlan and D. Peel, Finite Mixture Models, John Wiley & Sons, New York, NY, USA, 2000.