How often do early childhood teachers teach science concepts? Determinants of the frequency of science teaching in kindergarten

References

• Akerson, V. L. 2004. Designing a science methods course for early childhood preservice teachers. Journal of Elementary Science Education 16: 19–32. doi: 10.1007/BF03173643
   Google Scholar
• Alvidrez, J., and R. S. Weinstein 1999. Early teacher perceptions and later student academic achievement. Journal of Educational Psychology 91: 731–46. doi: 10.1037/0022-0663.91.4.731
   Web of Science ®Google Scholar
• Appleton, K. 1992. Discipline knowledge and confidence to teach science: Self-perceptions of primary teacher education students. Research in Science Education 22: 11–19. doi: 10.1007/BF02356874
   Google Scholar
• Appleton, K. 1995. Student teachers confidence to teach science: Is more science knowledge necessary to improve self-confidence. International Journal of Science Education 17: 357–69. doi: 10.1080/0950069950170307
   Web of Science ®Google Scholar
• Appleton, K., and I. Kindt 1999. Why teach primary science? Influences on beginning teachers' practices. International Journal of Science Education 21: 155–68. doi: 10.1080/095006999290769
   Web of Science ®Google Scholar
• Appleton, K., and I. Kindt 2002. Beginning elementary teachers' development as teachers of science. Journal of Science Teacher Education 13: 43–61. doi: 10.1023/A:1015181809961
   Google Scholar
• Bentler, P. M., and D. G. Bonett 1980. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 88: 588–606. doi: 10.1037/0033-2909.88.3.588
   Web of Science ®Google Scholar
• Browne, M. W., and R. Cudeck 1993. Alternative ways of assessing model fit. In Testing structural equation models, ed K. A. Bollen and J. S. Long , 136–62. Newbury Park, CA: Sage.
   Google Scholar
• Carey, S., and E. S. Spelke 1994. Domain-specific knowledge and conceptual change. In Mapping the mind: Domain specificity in cognition and culture, ed L. A. Hirschfeld and S. A. Gelman, 169–201. New York: Cambridge University Press.
   Google Scholar
• Chou, C., P. M. Bentler, and M. A. Pentz 1998. Comparisons of two statistical approaches to study growth curves: The multilevel model and the latent curve analysis. Structural Equation Modeling 5: 247–66. doi: 10.1080/10705519809540104
   Web of Science ®Google Scholar
• Copple, C., and S. Bredekamp 2009. Developmentally appropriate practice in early childhood programs: Serving children from birth through age 8, 3rd ed. Washington, DC: National Association for the Education of Young Children.
   Google Scholar
• Early, D. M., I. U. Iruka, S. Ritchie, O. A. Barbarin, D. C. Winn, G. M. Crawford, Frome, P.M., Clifford, R.M., M. Burchinal, C. Howes, Bryant, D.M., and Pianta, R.C. 2010. How do pre-kindergarteners spend their time? Gender, ethnicity and income as predictors of experiences in pre-kindergarten classrooms. Early Childhood Education Quarterly 25: 177–93. doi: 10.1016/j.ecresq.2009.10.003
   Web of Science ®Google Scholar
• Eshach, H., and M. N. Fried 2005. Should science be taught in early childhood?. Journal of Science Education and Technology 14: 315–36. doi: 10.1007/s10956-005-7198-9
   Google Scholar
• Ford, D.J. 2004. Highly recommended trade books: Can they be used in inquiry science? In Crossing borders in literacy and science instruction: Perspectives on theory and practice, ed. W. Saul, 277–290. International Reading Association, National Science Teachers Association.
   Google Scholar
• Ford, D.J. 2006. Representations of science within children's trade books. Journal of Research in Science Teaching 43: 214–235.
   Google Scholar
• Garbett, D. 2003. Science education in early childhood teacher education: Putting forward a case to enhance student teachers' confidence and competence. Research in Science Education 33: 467–81. doi: 10.1023/B:RISE.0000005251.20085.62
   Web of Science ®Google Scholar
• Gilbert, J. K., R. J. Osborne, and P. J. Fensham 1982. Children's science and its consequences for teaching. Science Education 66: 623–33. doi: 10.1002/sce.3730660412
   Google Scholar
• Greenfield, D. B., J. Jirout, X. Dominguez, A. Greenberg, M. Maier, and J. Fuccilo 2009. Science in the preschool classroom: A programmatic research agenda to improve science readiness. Early Education and Development 20: 238–64. doi: 10.1080/10409280802595441
   Web of Science ®Google Scholar
• Hancock, G. R., and R. O. Mueller 2001. Rethinking construct reliability with within latent variable systems. In Structural equation modeling: Present and future – A Festschrift in honor of Karl Joreskog, ed R. Cudek, S du Toit and D. Sorbom, 195–216. Lincolnwood, IL: Scientific Software International.
   Google Scholar
• Hu, L., and P. M. Bentler 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6: 1–55. doi: 10.1080/10705519909540118
   Web of Science ®Google Scholar
• Inan, H. Z., K. C. Trundle, and R. Kantor 2010. Understanding natural sciences education in a Regio Emilia-inspired school. Journal of Research in Science Teaching 47: 1186–208. doi: 10.1002/tea.20375
   Web of Science ®Google Scholar
• Jöreskog, K., and Sörbom, D. 1993. LISREL 8: Structural equation modeling with the SIMPLIS command language, Chicago, IL: Scientific Software International.
   Google Scholar
• Jöreskog, K., and Sörbom, D. 2006. Interactive LISREL 8: Structural equation modeling with the SIMPLIS command language, Chicago, IL: Scientific Software International.
   Google Scholar
• Kallery, M. 2004. Early years teachers' late concerns and perceived needs in science: An exploratory study. European Journal of Teacher Education 27: 147–65. doi: 10.1080/026197604200023024
   Google Scholar
• Kallery, M., and D. Psillos 2001. Pre-school teachers' content knowledge in science: Their understandings of elementary science concepts and of issues raised by children's questions. International Journal of Early Years Education 9: 165–77. doi: 10.1080/09669760120086929
   Google Scholar
• Kline, R. 2005. Principles and practice of structural equation modeling, 2nd ed. New York: Guilford.
   Google Scholar
• Kuhn, D., and S. Pearsall 2000. Developmental origins of scientific thinking. Journal of Cognition and Development 1: 113–29. doi: 10.1207/S15327647JCD0101N_11
   Web of Science ®Google Scholar
• La Paro, K. M., and R. C. Pianta 2000. Predicting children's competence in the early school years: A meta-analytic review. Review of Educational Research 70: 443–84. doi: 10.3102/00346543070004443
   Web of Science ®Google Scholar
• Li, F., T. E. Duncan, P. Harmer, A. Acock, and M. Stoolmiller 1998. Analyzing measurement models through multilevel confirmatory factor analysis and hierarchical linear modeling approaches. Structural Equation Modeling 5: 294–306. doi: 10.1080/10705519809540106
   Web of Science ®Google Scholar
• Metz, K. E. 1997. On the complex relation between cognitive developmental research and children's science curricula. Review of Educational Research 67: 151–63. doi: 10.3102/00346543067001151
   Web of Science ®Google Scholar
• Miller, L. B., J. L. Dyer, H. Stevenson, and S. H. White 1975. Four preschool programs: Their dimensions and effects. Monographs of the Society for Research in Child Development 40: 1–170. doi: 10.2307/1165878
   PubMed Web of Science ®Google Scholar
• Morrow, L. M., M. Pressley, J. K. Smith, and M. Smith 1997. The effect of a literature-based program integrated into literacy and science instruction with children from diverse backgrounds. Reading Research Quarterly 32: 54–76. doi: 10.1598/RRQ.32.1.4
   Web of Science ®Google Scholar
• National Center for Education Statistics 2002. Early childhood longitudinal study – Kindergarten class of 1998–1999 (ECLS-K), psychometric reports for Kindergarten through first grade (NCES Publication No. 2002–005), Washington, DC: U.S. Department of Education.
   Google Scholar
• National Center for Education Statistics 2006. Combined user's manual for the ECLS-K fifth grade public-use data files and electronic codebook (NCES Publication No. 2006–032), Washington, DC: U.S. Department of Education.
   Google Scholar
• National Research Council 1996. National science education standards, Washington, DC: National Academy Press.
   Google Scholar
• National Research Council 2000. Inquiry and the National Science Education Standards: A Guide for Teaching and Learning, Washington, DC: National Academy Press.
   Google Scholar
• Nayfeld, I. 2008 April. Science in the classroom: Finding a balance between autonomous exploration and teacher-led instruction in preschool settings. Poster presented at the honor's program poster session, New Brunswick, NJ: Rutgers University.
   Google Scholar
• Olmsted, P. P., C. V. Parks, and A. Rickel 1970. The development of classification skills in the preschool child. International Review of Education 16: 67–80. doi: 10.1007/BF01435949
   Web of Science ®Google Scholar
• Opfer, J. E., and R. S. Siegler 2004. Revisiting preschoolers' living things concept: A microgenetic analysis of conceptual change in basic biology. Cognitive Psychology 49: 301–32. doi: 10.1016/j.cogpsych.2004.01.002
   PubMed Web of Science ®Google Scholar
• Pell, A., and T. Jarvis 2003. Developing attitude to science education scales for use with primary teachers. International Journal of Science Education 25: 1273–96. doi: 10.1080/0950069022000017289
   Web of Science ®Google Scholar
• Saçkes, M., K. C. Trundle, and L. M. Flevares 2009. Using children's literature to teach standard-based science concepts in early years. Early Childhood Education Journal 36: 415–22. doi: 10.1007/s10643-009-0304-5
   Google Scholar
• Saçkes, M., K. C. Trundle, R. L. Bell, and O'Connell, A. A. 2011. The influence of early science experience in kindergarten on children's immediate and later science achievement: Evidence from the Early Childhood Longitudinal Study. Journal of Research in Science Teaching 48: 217–35. doi: 10.1002/tea.20395
   Web of Science ®Google Scholar
• Schoon, K. J., and W. J. Boone 1998. Self-efficacy and alternative conceptions of science of preservice elementary teachers. Science Education 82: 553–68. doi: 10.1002/(SICI)1098-237X(199809)82:5<553::AID-SCE2>3.0.CO;2-8
   Web of Science ®Google Scholar
• Schumacker, R. E., and R. G. Lomax 1996. A beginner's guide to structural equation modeling, Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Tobin, K., C. Briscoe, and J. R. Holman 1990. Overcoming constraints to effective elementary science teaching. Science Education 74: 409–20. doi: 10.1002/sce.3730740402
   Web of Science ®Google Scholar
• Tu, T. 2006. Preschool science environment: What is available in a preschool classroom?. Early Childhood Education Journal 33: 245–51. doi: 10.1007/s10643-005-0049-8
   Google Scholar
• Wendorf, C. A. 2002. Comparisons of structural equation modeling and hierarchical linear modeling approaches to couple's data. Structural Equation Modeling 5: 294–306.
   Google Scholar
• Yi, L. Y. 2006. Classroom organization: Understanding the context in which children are expected to learn. Early Childhood Education Journal 34: 37–43. doi: 10.1007/s10643-006-0120-0
   Google Scholar
• Zeece, P. D. 1999. Things of nature the nature of the things: Natural science-based literature for young children. Early Childhood Education Journal 26: 161–66. doi: 10.1023/A:1022929401934
   Google Scholar
• Zimmerman, C. 2000. The development of scientific reasoning skills. Developmental Review 20: 99–149. doi: 10.1006/drev.1999.0497
   Web of Science ®Google Scholar