Skip to main content

Advertisement

Log in

Exploration of the contribution of teachers’ knowledge about reading to their students’ improvement in reading

  • Published:
Reading and Writing Aims and scope Submit manuscript

Abstract

Recent studies of elementary teachers’ knowledge about reading have been built on the premise that teachers need thorough knowledge about language and reading processes, but these studies have provided only limited evidence that teachers’ performance on tests of such knowledge contributes to their students’ reading achievement. The present study was designed to examine the contribution of first- through third-grade teachers’ knowledge about early reading to their students’ improvement on tests of word analysis and reading comprehension, controlling for socio-demographic characteristics of students, their prior reading achievement, and teachers’ educational attainment, professional experiences, and socio-demographic characteristics. Preliminary analyses indicated that the test of teachers’ knowledge had adequate psychometric characteristics. However, performance on this measure of teachers’ knowledge did not significantly explain students’ improvement on the two reading subtests. The complexity of the factors that influence teachers’ knowledge acquisition and the context in which the study was carried out offer possible explanations for these results. In addition, teachers’ content knowledge about reading might not be closely associated with the practices they use in reading instruction, and therefore might not be significantly related to their students’ improvement in reading over a year.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. It is unlikely that teacher learning across the three administrations of the LRC led to biased score estimates. Since all teachers received LETRS prior to any administration of the LRC, learning from the professional development probably did not take place across administrations. Further, when teachers were scored separately on the parallel form A (Fall) and C (Spring) of the LRC (see Appendix), there was no significant growth, which strongly suggests that there was no systematic learning bias.

  2. Since listwise deletion was employed by the statistical software program, an additional 10 first grade teachers, 15 second grade teachers and 15 third grade teachers were excluded from analyses because they failed to include their race on the fall teacher questionnaire.

  3. Since our primary inference is the effect of teachers’ knowledge located at the teacher level (level-2) of the HLM model, it is important that the student covariates be grand-mean centered (Raudenbush & Bryk, 2002).

  4. This calculation was done using Optimal Design software Version .30 (see, e.g., Spybrook, Raudenbush, Liu, & Congdon, 2006). Depending on the amount of variance existing between teachers within schools, the software showed power to be above .8 for effect sizes ranging from as small as .12–.18, given the numbers of students, classrooms and schools in the sample.

  5. This calculation was done by taking the difference in outcome scores for high versus low knowledge teachers (2.65, see Table 3) and dividing by the standard deviation of the outcome (21.06, see Table 1).

References

  • Borman, G. D., Hewes, G. M., Overman, L. T., & Brown, S. (2002). Comprehensive school reform and student achievement: A meta-analysis. Baltimore: Center for Research on the Education of Students.

    Google Scholar 

  • Bos, C. S., Mather, N., Dickson, S., Podhajski, B., & Chard, D. (2001). Perceptions and knowledge of preservice and inservice educators about early reading instruction. Annals of Dyslexia, 51, 97–120. doi:10.1007/s11881-001-0007-0.

    Article  Google Scholar 

  • Bos, C. S., Mather, N., Narr, R. F., & Babur, N. (1999). Interactive, collaborative professional development in early literacy: Supporting the balancing act. Learning Disabilities Research & Practice, 14, 227–238. doi:10.1207/sldrp1404_4.

    Article  Google Scholar 

  • Cunningham, A. E., Perry, K. E., Stanovich, K. E., & Stanovich, P. J. (2004). Disciplinary knowledge of K-3 teachers and their knowledge calibration in the domain of early literacy. Annals of Dyslexia, 54, 139–167. doi:10.1007/s11881-004-0007-y.

    Article  Google Scholar 

  • Darling-Hammond, L. (2004). Inequality and the right to learn: Access to qualified teachers in California’s public schools. Teachers College Record, 106, 1936–1966. doi:10.1111/j.1467-9620.2004.00422.x.

    Article  Google Scholar 

  • Darling-Hammond, L., & Youngs, P. (2002). Defining “highly qualified teachers”: What does “scientifically-based research” actually tell us? Educational Researcher, 31, 13–25. doi:10.3102/0013189X031009013.

    Article  Google Scholar 

  • Foorman, B. R., & Moats, L. C. (2004). Conditions for sustaining research-based practices in early reading instruction. Remedial and Special Education, 25, 51–60. doi:10.1177/07419325040250010601.

    Article  Google Scholar 

  • Hambleton, R., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. London: Sage.

    Google Scholar 

  • Hapgood, S., Palincsar, A. S., Kucan, L., Gelpi-Lomangino, A., & Khasnabis, D. (2005). Investigating a new measure of teachers’ pedagogical content knowledge for teaching informational text comprehension. Paper presented at the Annual Meeting of the American Educational Research Association, Montreal, Canada.

  • Hoover, H. D., Dunbar, S. B., & Frisbe, D. A. (2003). The Iowa tests: Norms and score conversions. Itasca, IL: Riverside Publishing Co.

    Google Scholar 

  • Mather, N., Bos, C., & Babur, N. (2001). Perceptions and knowledge of preservice and inservice teachers about early literacy instruction. Journal of Learning Disabilities, 34, 472–482. doi:10.1177/002221940103400508.

    Article  Google Scholar 

  • McCutchen, D., Abbott, R. D., Green, L. B., Beretvas, S. N., Cox, S., Quiroga, T., et al. (2002). Beginning literacy: Links among teacher knowledge, teacher practice, and student learning. Journal of Learning Disabilities, 35, 69–87. doi:10.1177/002221940203500106.

    Article  Google Scholar 

  • McCutchen, D., & Berninger, V. (1999). Those who know, teach well: Helping teachers master literacy-related subject-matter knowledge. Learning Disabilities Research & Practice, 14, 215–226. doi:10.1207/sldrp1404_3.

    Article  Google Scholar 

  • McCutchen, D., Harry, D. R., Cunningham, A. E., Cox, S., Sidman, S., & Covill, A. E. (2002). Reading teachers’ knowledge of children’s literature and English phonology. Annals of Dyslexia, 52, 207–228. doi:10.1007/s11881-002-0013-x.

    Article  Google Scholar 

  • Mislevy, R. J., & Bock, R. D. (1997). Bilog: Item analysis and test scoring with binary models. Lincolnwood, IL: Scientific Software International.

    Google Scholar 

  • Moats, L. C. (1994). The missing foundation in teacher education: Knowledge of the structure of spoken and written language. Annals of Dyslexia, 44, 81–102. doi:10.1007/BF02648156.

    Article  Google Scholar 

  • Moats, L. C. (2003). Language essentials for teachers of reading and spelling. Longmont, CO: Sopris West.

    Google Scholar 

  • Moats, L. C., & Foorman, B. R. (2003). Measuring teachers’ content knowledge of language and reading. Annals of Dyslexia, 53, 23–45. doi:10.1007/s11881-003-0003-7.

    Article  Google Scholar 

  • Peske, H. G., & Haycock, K. (2006). Teaching inequality: How poor and minority students are shortchanged on teacher quality. Washington, CD: The Education Trust.

    Google Scholar 

  • Phelps, G., & Schilling, S. (2004). Developing measures of content knowledge for teaching reading. The Elementary School Journal, 105, 31–48. doi:10.1086/428764.

    Article  Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd Edn.). Thousand Oaks, CA: Sage Publications.

  • Shavelson, R. J., Webb, N. M., & Burstein, L. (1986). Measurement of teaching. In M. C. Wittrock (Ed.), Handbook of research on teaching (3rd ed., pp. 50–91). New York: Simon and Schuster MacMillan.

    Google Scholar 

  • Shulman, L. S. (1987). Knowledge and teaching: Foundations for the new reform. Harvard Educational Review, 57, 1–22.

    Google Scholar 

  • Snow, C. E., Griffin, P., & Burns, M. S. (2005). Knowledge to support the teaching of reading: Preparing teachers for a changing world. San Francisco: Jossey-Bass.

    Google Scholar 

  • Spybrook, J., Raudenbush, S., Liu, X., & Congdon, R. (2006). Optimal design for longitudinal and multilevel research: Documentation for the “Optimal Design” software. Downloaded from http://sitemaker.umich.edu/group-based/files/odmanual-20060919-v176.doc.

  • Thissen, D., & Wainer, H. (Eds.). (2001). Test scoring. Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • U.S. Department of Education. (2002a). Guidance for the reading first program. Downloaded from www.ed.gov.

  • U.S. Department of Education. (2002b). No child left behind: Executive summary. Retrieved from www.ed.gov/nclb/overview/intro/execsumm.html.

  • Wilson, S., Shulman, L., & Richert, A. (1987). “150 different ways of knowing”: Representations of knowledge in teaching. In J. Calderhead (Ed.), Exploring teachers’ thinking (pp. 104–123). Eastbourne, England: Cassell.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joanne F. Carlisle.

Additional information

Order of authors is alphabetical.

Appendices

Appendix A: language and reading concepts forms

Appendix B

Fig. 2
figure 2

First grade students’ reading comprehension (n = 2,795) and word analysis (n = 2,885) pre-post achievement scores by teacher knowledge categories

Fig. 3
figure 3

Second grade students’ reading comprehension (n = 2,795) and word analysis (n = 2,794) pre-post achievement scores by teacher knowledge categories

Fig. 4
figure 4

Third grade students’ reading comprehension (n = 2,975) and word analysis (n = 2,971) pre-post achievement scores by teacher knowledge categories

Rights and permissions

Reprints and permissions

About this article

Cite this article

Carlisle, J.F., Correnti, R., Phelps, G. et al. Exploration of the contribution of teachers’ knowledge about reading to their students’ improvement in reading. Read Writ 22, 457–486 (2009). https://doi.org/10.1007/s11145-009-9165-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11145-009-9165-y

Keywords

Navigation