Skip to main content

Advertisement

Log in

Extending Research on Oral Reading Fluency Measures, Reading Speed, and Comprehension

  • Published:
Contemporary School Psychology Aims and scope Submit manuscript

Abstract

Middle-school students completed a comprehension assessment. The following day, they read four, 120-word passages, two standard and two non-standard ransom-note passages with altered font sizes. Altering font sizes increased students’ reading time (i.e., reduced reading speed) by an average of 3 s and decreased students’ words correct per minute (WCPM) scores but did not reduce oral reading accuracy or increase the amount of comprehension score variance accounted for by reading accuracy, reading speed, and WCPM measures. While oral reading fluency (ORF) measures accounted for 32 and 36 % of the variance in comprehension scores, the measure of reading speed embedded within ORF measures accounted for almost all of this explained variance. The importance of reading speed and implications for those concerned that ORF measures non-functional aloud word reading accuracy are described.

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.

Similar content being viewed by others

Notes

  1. Both reading speed and reading time can be measured using seconds required to read a complete passage. Greater reading speed is associated with lower seconds to read. Increased reading time is associated with higher seconds to read.

References

  • Breznitz, Z. (1987). Increasing first graders’ reading accuracy and comprehension by accelerating their reading rates. Journal of Educational Psychology, 79, 236–242. doi:10.1037//0022-0663.79.3.236.

    Article  Google Scholar 

  • Chall, J. S. (1983). Stages of reading development. New York: McGraw-Hill. doi:10.1017/s0142716400005166.

    Google Scholar 

  • Ciancio, D. J., Thompson, K., Schall, M., Skinner, C., & Foorman, B. A. (2015). Accurate reading comprehension rate as an indicator of broad reading in students in first, second, and third grades. Journal of School Psychology, 53, 393–407. doi:10.1016/j.jsp.2015.07.003.

    Article  PubMed  Google Scholar 

  • Christ, T. J., & Ardoin, S. P. (2009). Curriculum-based measurement of oral reading: passage equivalence and probe-set development. Journal of School Psychology, 47, 55–75. doi:10.1016/j.jsp.2008.09.004.

    Article  Google Scholar 

  • Forbes, B. E., Skinner, C. H., Maurer, K. M., Taylor, E. P., Schall, M., Ciancio, D., & Conley, M. (2015). Prompting faster reading during fluency assessments: the impact of skill level and comprehension measures on changes in performance. Research in the Schools, 22, 27–43.

    Google Scholar 

  • Hale, A. D., Skinner, C. H., Wilhoit, B., Ciancio, D., & Morrow, J. A. (2012). Variance in broad reading accounted for by measures of reading speed embedded within Maze and comprehension rate measures. Journal of Psychoeducational Assessment, 30, 539–554. doi:10.1177/0734282912440787.

    Article  Google Scholar 

  • House, A. E., House, B. J., & Campbell, M. B. (1981). Measures of interobserver agreement: calculation formulas and distribution effects. Journal of Behavioral Assessment, 3, 37–57. doi:10.1007/bf01321350.

    Article  Google Scholar 

  • Hughes, C. A., & Dexter, D. D. (2011). Response to intervention: a research-based summary. Theory into Practice, 50, 4–11. doi:10.1080/00405841.2011.534909.

    Article  Google Scholar 

  • Jenkins, J. R., Fuchs, L. S., van den Broek, P., Espin, C., & Deno, S. L. (2003). Sources of individual differences in reading comprehension and reading fluency. Journal of Educational Psychology, 95, 719–729. doi:10.1037/0022-0663.95.4.719.

    Article  Google Scholar 

  • Jenkins, J. R., & Jewell, M. (1993). Examining the validity of two measures for formative teaching: reading aloud and maze. Exceptional Children, 59, 421–432.

    Google Scholar 

  • Katzir, T., Hershko, S., & Halamish, V. (2013). The effect of font size on reading comprehension on second and fifth grade children: bigger is not always better. PLoS One, 8(9), e74061.

    Article  PubMed  PubMed Central  Google Scholar 

  • Keenan, J. M., Betjemann, R. S., & Olson, R. K. (2008). Reading comprehension tests vary in the skills they assess: differential dependence on decoding and oral comprehension. Scientific Studies of Reading, 12, 281–300. doi:10.1080/10888430802132279.

    Article  Google Scholar 

  • LaBerge, D., & Samuels, S. J. (1974). Toward a theory of automatic processing in reading. Cognitive Psychology, 6, 293–323. doi:10.1016/0010-0285(74)90015-2.

    Article  Google Scholar 

  • MacGinitie, W. H., MacGinitie, R. K., Maria, K., Dreyer, L. G., & Hughes, K. E. (2000). Gates-MacGinitie Reading Tests (4th ed.). Itasca, IL: Riverside Publishing.

    Google Scholar 

  • Marston, D. B. (1989). A curriculum-based measurement approach to assessing academic performance: what it is and why we do it. In M. R. Shinn (Ed.), Curriculum-based measurement: assessing special children (pp. 18–78). New York: Guilford.

    Google Scholar 

  • Neddenriep, C., Hale, A., Skinner, C. H., Hawkins, R. O., & Winn, B. D. (2007). A preliminary investigation of the concurrent validity of reading comprehension rate: a direct dynamic measure of reading comprehension. Psychology in the Schools, 44, 373–388. doi:10.1002/pits.20228.

    Article  Google Scholar 

  • Paris, S. G., Carpenter, R. D., Paris, A. H., & Hamilton, E. E. (2005). Spurious and genuine correlates of children’s reading comprehension. In G. Paris & S. A. Stahl (Eds.), Children’s reading comprehension and assessment (pp. 131–160). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Parker, R., Hasbrouck, J. E., & Tindal, G. (1992). The Maze as a classroom-based reading measure: construction methods, reliability, and validity. Journal of Special Education, 26, 195–218. doi:10.1177/002246699202600205.

    Article  Google Scholar 

  • Perfetti, C. A. (1985). Reading ability. New York: Oxford University Press. doi:10.1017/s0033291700005304.

    Google Scholar 

  • Poncy, B. C., Skinner, C. H., & Axtell, P. K. (2005). An investigation of the reliability and standard error of measurement of words read correctly per minute. Journal of Psychoeducational Assessment, 23, 326–338. doi:10.1177/073428290502300403.

    Article  Google Scholar 

  • Potter, M. L., & Wamre, H. M. (1990). Curriculum-based measurement and developmental reading models: opportunities for cross-validation. Exceptional Children, 57, 16–25.

    Google Scholar 

  • Reschly, A. L., Busch, T. W., Betts, J., Deno, S. L., & Long, J. D. (2009). Curriculum-based measurement oral reading fluency as an indicator or reading achievement: a meta-analysis of the correlational evidence. Journal of School Psychology, 47, 427–469. doi:10.1016/j.jsp.2009.07.001.

    Article  PubMed  Google Scholar 

  • Samuels, S. J. (2007). The DIBELS tests: is speed of barking at print what we mean by reading fluency? Reading Research Quarterly, 42, 563–566.

    Google Scholar 

  • Shapiro, E. S. (2011). Academic skills problems: direct assessment and intervention (4th ed.). New York: Guilford Press.

    Google Scholar 

  • Shinn, M. R. (1995). Curriculum-based measurement and its use in a problem solving model. In A. Thomas & J. Grimes (Eds.), Best practices in school psychology-III (pp. 547–567). Washington DC: National Association of School Psychologists.

    Google Scholar 

  • Skinner, C. H. (1998). Preventing academic skills deficits. In T. S. Watson & F. Gresham (Eds.), Handbook of child behavior therapy: ecological considerations in assessment, treatment, and evaluation (pp. 61–83). New York: Plenum. doi:10.1007/978-1-4615-5323-6_4.

    Chapter  Google Scholar 

  • Skinner, C. H., Neddenriep, C. E., Bradley-Klug, K. L., & Ziemann, J. M. (2002). Advances in curriculum-based measurement: alternative rate measures for assessing reading skills in pre- and advanced readers. Behavior Analyst Today, 3, 270–281.

    Article  Google Scholar 

  • Skinner, C. H., Williams, J. L., Morrow, J. A., Hale, A. D., Neddenriep, C., & Hawkins, R. O. (2009). The validity of a reading comprehension rate: reading speed, comprehension, and comprehension rates. Psychology in the Schools, 46, 1036–1047. doi:10.1002/pits.20442.

    Article  Google Scholar 

  • Spargo, E. (1989). Timed Readings (3rd ed., Book 4). Providence, RI: Jamestown Publishers.

    Google Scholar 

  • Stanovich, K. E. (1986). Matthew effects in reading: some consequences of individual differences in the acquisition of literacy. Reading Research Quarterly, 21, 360–407. doi:10.1598/rrq.21.4.1.

    Article  Google Scholar 

  • Tichá, R., Espin, C. E., & Wayman, M. M. (2009). Reading progress monitoring for secondary school students: reliability, validity, and sensitivity to growth of reading-aloud and maze-selection measures. Learning Disabilities Research and Practice, 24, 132–142. doi:10.1111/j.1540-5826.2009.00287.x.

    Article  Google Scholar 

  • Wayman, M. M., Wallace, T., Wiley, H. I., Tichá, R., & Espin, C. A. (2007). Literature synthesis on curriculum-based measurement in reading. Journal of Special Education, 41, 85–120. doi:10.1177/00224669070410020401.

    Article  Google Scholar 

  • Williams, J. L., Skinner, C. H., Floyd, R. G., Hale, A. D., Neddenriep, C., & Kirk, E. (2011). Words correct per minute: the variance in standardized reading scores accounted for by reading speed. Psychology in the Schools, 48, 87–101. doi:10.1002/pits.20527.

    Article  Google Scholar 

  • Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson tests of achievement—third edition. Itasca, IL: Riverside Publishing.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christopher H. Skinner.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schall, M., Skinner, C.H., Cazzell, S. et al. Extending Research on Oral Reading Fluency Measures, Reading Speed, and Comprehension. Contemp School Psychol 20, 262–269 (2016). https://doi.org/10.1007/s40688-015-0083-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40688-015-0083-5

Keywords

Navigation