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Commentary on new metrics, measures, and uses for fluency data

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Abstract

Fluency and rate-based assessments, such as curriculum-based measurement, are frequently used to screen and evaluate student progress. The application of such measures are especially prevalent within special education and response to intervention models of prevention and early intervention. Although there is an extensive research and professional literature on the development and evaluation of such measures, there is much left to learn with ongoing and future research. This special series presents a series of papers that explore newer topics and plant the seeds for future innovations.

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References

  • Ardoin, S. P., & Christ, T. J. (2008). Evaluating curriculum-based measurement slope estimates using data from tri-annual universal screenings. School Psychology Review, 37, 109–125.

  • Ardoin, S. P., Christ, T. J., Morena, L. S., Cormier, D. C., & Klingbeil, D. A. (2013a). A systematic review and summarization of the recommendations and research surrounding curriculum-based measurement of oral reading fluency (CBM-R) decision rules. Journal of School Psychology, 51(1), 1–18. doi:10.1016/j.jsp.2012.09.004.

    Article  Google Scholar 

  • Ardoin, S. P., Eckert, T. L., Christ, T. J., White, M. J., Morena, L. S., January, S.-A. A., et al. (2013b). Examining variance in reading comprehension among developing readers: Words in context (curriculum-based measurement in reading) versus words out of context (word lists). School Psychology Review, 42(3), 243–261.

    Google Scholar 

  • Ardoin, S. P., Morena, L. S., Binder, K. S., & Foster, T. E. (2013c). Examining the impact of feedback and repeated readings on oral reading fluency: Let’s not forget prosody. School Psychology Quarterly. doi:10.1037/spq0000027.

  • Baker, D. L. S., Biancarosa, G., Park, B., J., Bousselot, T., Smith. J.-L., Baker, S. K., et al. (2014). Validity of CBM measures of oral reading and reading comprehension on high-stakes reading assessments in grades 7 and 8. Reading and Writing: An Interdisciplinary Journal. doi:10.1007/s11145-014-9505-4.

  • Ball, C. R., & Christ, T. J. (2012). Supporting valid decision making: Uses and misuses of assessment data within the context of RTI. Psychology in The Schools, 49(3), 231–244. doi:10.1002/pits.21592.

    Article  Google Scholar 

  • Benjamin, R. G., & Schwanenflugel, P. J. (2010). Test complexity and oral reading prosody in young readers. Reading Research Quarterly, 45(4), 388–404. doi:10.1598/RRQ.45.4.2.

    Article  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 

  • Christ, T. J., Silberglitt, B., Yeo, S., & Cormier, D. (2010). Curriculum-based measurement of oral reading: An evaluation of growth rates and seasonal effects among students served in general and special education. School Psychology Review, 39(3), 447–462.

    Google Scholar 

  • Christ, T. J., Zopluoglu, C., Monaghen, B. D., & Van Norman, E. R. (2013). Curriculum-based measurement of oral reading: Multi-study evaluation of schedule, duration, and dataset quality on progress monitoring outcomes. Journal of School Psychology, 51(1), 19–57. doi:10.1016/j.jsp.2012.11.001.

    Article  Google Scholar 

  • Cummings, K. D., Stoolmiller, M. L., Baker, S. K., Fien, H., & Eame’enui, E. J. (2014). Using school-level student achievement to engage in formative evaluation: Comparative school-level rates of oral reading fluency growth conditioned by initial skill for second grade students. Reading and Writing. doi:10.1007/s11145-014-9512-5.

  • Deno, S. L. (1985). Curriculum-based measurement: The emerging alternative. Exceptional Children, 52, 219–232.

    Google Scholar 

  • Deno, S. L. (2003). Developments in curriculum-based measurement. Journal of Special Education, 37(3), 184–192.

    Article  Google Scholar 

  • Fuchs, L. S., Fuchs, D., & Deno, S. I. (1982). Reliability and validity of curriculum-based informal reading inventories. Reading Research Quarterly, 18, 6–25.

    Article  Google Scholar 

  • Good, R. H., I. I. I., & Kaminski, R. A. (2002). DIBELS oral reading fluency passages for first through third grades. Eugene, OR: University of Oregon.

    Google Scholar 

  • Hosp, M. K., & Fuchs, L. S. (2005). Using CBM as an indicator of decoding, word reading, and comprehension: Do the relations change with grade? School Psychology Review, 34, 9–26.

    Google Scholar 

  • Kim, Y.-S., Petscher, Y., & Foorman, B. (2013). The unique relations of silent reading fluency to end-of-year reading comprehension: Understanding individual differences at the student, classroom, school, and district levels. Reading and Writing. doi:10.1007/s11145-013-9455-2

  • Marston, D., Mirkin, P. K., & Deno, S. L. (1984). Curriculum-based measurement: An alternative to traditional screening, referral, and identification. Journal of Special Education, 18, 109–117.

    Article  Google Scholar 

  • Meisinger, E. B., Bradley, B. A., Schwanenflugel, P. J., Kuhn, M. R., & Morris, R. D. (2009). Myth and reality of the word caller: The relation between teacher nominations and prevalence among elementary school children. School Psychology Quarterly, 24(3), 147–159. doi:10.1037/a0017191.

    Article  Google Scholar 

  • Mellard, D. F., McKnight, M., & Woods, K. (2009). Response to intervention screening and progress monitoring practices in 41 local school. Learning Disabilities Research & Practice, 24, 186–195.

    Article  Google Scholar 

  • Miller, J., & Schwanenflugel, P. J. (2006). Prosody of syntactically complex sentences in the oral reading of young children. Journal of Educational Psychology, 98(4), 839–853.

  • Petscher, Y., & Mitchell, A. M. (2013). Improving the precision of student scores from assessments by using response times: An illustration of conditional item response theory. Reading and Writing: An Interdisciplinary Journal.

  • Reschly, A. L., Busch, T. W., Betts, J., Deno, S. L., & Long, J. D. (2009). Curriculum-based measurement oral reading as an indicator of reading achievement: A meta-analysis of the correlational evidence. Journal of School Psychology, 47(6), 427–469.

    Article  Google Scholar 

  • Schwanenflugel, P. J., Westmoreland, M. R., & Benjamin, R. G. (2013). Reading fluency skill and the prosodic marking of linguistic focus. Reading and Writing. doi:10.1007/s11145-013-9456-1

  • Shinn, M. R., & Marston, D. (1985). Differentiating mildly handicapped, low-achieving, and regular education students: A curriculum-based approach. Remedial and Special Education, 6(2), 31–38.

    Article  Google Scholar 

  • Tindal, G. (2013). Curriculum-based measurement: A brief history of nearly everything from the 1970s to the present. ISRN Education, 2013, 1–29. doi:10.1155/2013/958530.

    Article  Google Scholar 

  • Valle, A., Binder, K. S., Walsh, C. B., Nemier, C., & Bangs, K. E. (2013). Eye movements, prosody, and word frequency among average- and high-skilled second-grade readers. School Psychology Review, 42, 171–190.

    Google Scholar 

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Authors and Affiliations

  1. University of Minnesota, Minneapolis, MN, USA

    Theodore J. Christ

  2. University of Georgia, Athens, GA, USA

    Scott P. Ardoin

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  1. Theodore J. Christ
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  2. Scott P. Ardoin
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Correspondence to Scott P. Ardoin.

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Christ, T.J., Ardoin, S.P. Commentary on new metrics, measures, and uses for fluency data. Read Writ 28, 151–157 (2015). https://doi.org/10.1007/s11145-014-9513-4

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  • DOI: https://doi.org/10.1007/s11145-014-9513-4

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