Using Complexity Metrics to Assess Silent Reading Fluency: A Cross-Sectional Study Comparing Oral and Silent Reading

REFERENCES

• Accelerated Reader. (2011). Book Finder US. Retrieved from http://www.arbookfind.com/bookdetail.aspx?q=59508&l=EN&slid=194455065
   Google Scholar
• Bashir, A. S., & Hook, P. E. (2009). Fluency: A key link between word identification and comprehension. Language, Speech, and Hearing Services in Schools, 40, 196–200.
   PubMed Web of Science ®Google Scholar
• Benjamin, C. F. A., & Gaab, N. (2012). What’s the story? The tale of reading fluency told at speed. Human Brain Mapping, 33, 2572–2585.
   PubMed Web of Science ®Google Scholar
• Berninger, V. W., Abbott, R. D., Trivedi, P., Olson, E., Gould, L., Hiramatsu, S. …, Westhaggen, S. Y. (2010). Applying the multiple dimensions of reading fluency to assessment and instruction. Journal of Psychoeducational Assessment, 28, 3–18.
   Web of Science ®Google Scholar
• Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433–436.
   PubMedGoogle Scholar
• Carpenter, J., & Bithell, J. (2000). Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians. Statistics in Medicine, 19, 1141–1164.
   PubMed Web of Science ®Google Scholar
• Cartwright, K., Hodgekiss, M. D., & Isaac, M. C. (2008). Graphophonological-semantic flexibility: Contributions to skilled reading across the lifespan. In K. B. Cartwright ( Ed.), Literacy processes: Cognitive flexibility in learning and teaching ( pp. 142–164). New York, NY: Guilford.
   Google Scholar
• Carver, R. P. (1989). Silent reading rates in grade equivalents. Journal of Literacy Research, 21, 155–166.
   Web of Science ®Google Scholar
• Carver, R. P. (1990). Reading rate: A review of research and theory. San Diego, CA: Academic Press.
   Google Scholar
• Cassidy, J., Ortlieb, E., & Shettel, J. (2011). What’s hot for 2011. Reading Today, 28, 6–8.
   Google Scholar
• Dale, R., & Spivey, M. J. (2006). Unraveling the dyad: Using recurrence analysis to explore patterns of syntactic coordination between children and caregivers in conversation. Language Learning, 56, 391–430.
   Web of Science ®Google Scholar
• Denton, C. A. Barth, A. E., Fletcher, J. M., Wexler, J., Vaughn, S., Cirino, P. T.…, Francis, D. J. (2011). The relations among oral and silent reading fluency and comprehension in middle school: Implications for identification and instruction of students with reading difficulties. Scientific Studies of Reading, 15, 109–135.
   PubMed Web of Science ®Google Scholar
• Diniz, A., Wijnants, M. L., Torre, K., Barreiros, J., Crato, N., Bosman, A. M. T.…, & Delignieres, D. (2011). Contemporary theories of 1/f noise in motor control. Human Movement Science, 30, 889–905.
   PubMed Web of Science ®Google Scholar
• Donald, M. (2007). The slow process: A hypothetical cognitive adaption for distributed cognitive networks. Journal of Physiology–Paris, 101, 214–222.
   PubMed Web of Science ®Google Scholar
• Dowhower, S. L. (1991). Speaking of prosody: Fluency’s unattended bedfellow. Theory Into Practice, 30, 165–175.
   Google Scholar
• Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7, 1–26.
   Web of Science ®Google Scholar
• Feng, G. (2008). Orthography and eye movements: The paraorthraphic hypothesis. Retrieved from http://www.academia.edu/228484/Feng_G._2008_._Orthography_and_Eye_Movements_The_Paraorthographic_Linkage_Hypothesis
   Google Scholar
• Fuchs, L. S., Fuchs, D., Hosp, M. K., & Jenkins, J. R. (2001). Text fluency as an indicator of reading competence: A theoretical, empirical, and historical analysis. Scientific Studies of Reading, 5, 239–256.
   Google Scholar
• Gilden, D. L. (2001). Cognitive emissions of 1/f noise. Psychological Review, 108, 33–56.
   PubMed Web of Science ®Google Scholar
• Good, R. H., Kaminski, R. A., & Dill, S. (2002). DIBELS Oral Reading Fluency. In R. H. Good & R. A. Kaminski ( Eds.), Dynamic indicators of basic early literacy skills (6th ed., pp. 30–38). Eugene, OR: Institute for the Development of Educational Achievement.
   Google Scholar
• Hamilton, C., & Shinn, M. R. (2003). Characteristics of word callers: An investigation of the accuracy of teachers’ judgements of reading comprehension and oral reading skills. School Psychology Review, 32(2), 228–240.
   Web of Science ®Google Scholar
• Hasbrouck, J., & Tindal, G. A. (2006). Oral reading fluency norms: A valuable assessment tool for reading teachers. The Reading Teacher, 59, 636–644.
   Web of Science ®Google Scholar
• Hiebert, E. F., Samuels, S. J. & Rasinski, T. (2012). Comprehension-based silent reading rates: What do we know? What do we need to know? Literacy Research and Instruction, 51, 110–124.
   Google Scholar
• Holden, J. G. (2002). Fractal characteristics of response time variability. Ecological Psychology, 14, 53–86. doi:10.1080/10407413.2003.9652752
   Web of Science ®Google Scholar
• Holden, J. G. (2005). Gauging the fractal dimension of response times from cognitive tasks. In M. A. Riley & G. C. Van Orden ( Eds.), Contemporary nonlinear methods for behavioral scientists: A webbook tutorial ( pp. 267–318). Retrieved from http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jep
   Google Scholar
• Holden, J. G., Van Orden, G., & Turvey, M. T. (2009). Dispersion of response times reveals cognitive dynamics. Psychological Review, 116, 318–342.
   PubMed Web of Science ®Google Scholar
• Hosp, M. K., & Fuchs, L. S. (2005). CBM as an indicator of decoding, word reading, and comprehension: Do relations change with grade? School Psychology Review, 34, 9–26.
   Web of Science ®Google Scholar
• Hudson, R. F., Pullen, P. C., Lane, H. B., & Torgesen, J. K. (2009). The complex nature of reading fluency: A multidimensional view. Reading & Writing Quarterly, 25, 4–32.
   Google Scholar
• Ihlen E. A. F., & Vereijken, B. (2010). Interaction-dominant dynamics in human cognition: Beyond 1/fα fluctuation. Journal of Experimental Psychology: General, 139, 426–463.
   Web of Science ®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.
   Web of Science ®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.
   Web of Science ®Google Scholar
• Johnston, T. (2003). Alien and possum: Hanging out. New York, NY: Aladdin.
   Google Scholar
• Katzir, T., Kim, Y., Wolf, M., O’Brien, B.A., Kennedy, B., Morris, R., & Lovett, M. W. (2006). Reading fluency: The whole is more than the parts. Annals of Dyslexia, 56, 51–82.
   PubMed Web of Science ®Google Scholar
• Kelso, J. A. S. (1995). Dynamic patterns: The self-organization of brain and behavior. Cambridge, MA: MIT Press.
   Google Scholar
• Kim, Y., Wagner, R. K., & Foster, E. (2011). Relations among oral reading fluency, silent reading fluency, and reading comprehension: A latent variable study of first-grade readers. Scientific Studies of Reading, 15, 338–362.
   PubMed Web of Science ®Google Scholar
• Kim, Y., Wagner, R.K. & Lopez, D. (2012). Developmental relations between reading fluency and reading comprehension: A longitudinal study from Grade 1 to Grade 2. Journal of Experimental Child Psychology, 113, 93–111.
   PubMed Web of Science ®Google Scholar
• Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York, NY: Cambridge University Press.
   Google Scholar
• Klauda, J. T., & Guthrie, S. L. (2008). Relationships of three components of reading fluency to reading comprehension. Journal of Educational Psychology, 100, 310–321.
   Web of Science ®Google Scholar
• Kloos, H., & Van Orden, G. C. (2009). Soft-assembled mechanisms for the unified theory. In J. P. Spencer, M. Thomas, & J. McClelland ( Eds.), Toward a new grand theory of development? Connectionism and dynamics systems theory reconsidered ( pp. 253–267). Oxford, UK: Oxford University Press.
   Google Scholar
• Kuhn, M. R. & Stahl, S. A. (2003). Fluency: A review of developmental and remedial practices. Journal of Educational Psychology, 95, 3–21.
   Web of Science ®Google Scholar
• Levy, B. A., & Collins, W. M. (2008). Fluent reading and the representation of texts. In K. B. Cartwright ( Ed.), Literacy processes: Cognitive flexibility in learning and teaching (pp. 234–253). New York, NY: Guilford Press.
   Google Scholar
• Marwan, N. (2011). Commandline recurrence plots. Retrieved from http://www.agnld.uni-potsdam.de/marwan/6.download/rp.php
   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), 147–150.
   Google Scholar
• Meyer, M. S., & Felton, R. H. (1999). Repeated reading to enhance fluency: Old approaches and new directions. Annals of Dyslexia, 49, 283–306.
   Web of Science ®Google Scholar
• Miller, S. D., & Smith, D. E. (1985). Differences in literal and inferential comprehension after reading orally and silently. Journal of Educational Psychology, 77, 341–348.
   Web of Science ®Google Scholar
• National Reading Panel. (2000). Fluency. Teaching children to read: Reports of the subgroups (NIH Publication No. 00–4754). Washington, DC: Government Printing Office.
   Google Scholar
• Paige, D. D., Rasinski, T., & Magpuri-Lavell, T. (2012). Is fluent, expressive reading important for high school readers? Journal of Adolescent and Adult Literacy, 56, 67–78.
   Web of Science ®Google Scholar
• Paulson, E. J. (2005). Viewing eye movements during reading through the lens of chaos theory: How reading is like the weather. Reading Research Quarterly, 40, 338–358.
   Web of Science ®Google Scholar
• Pelli, D. G., & Tillman, K. A. (2007). Parts, wholes, and context in reading: A triple dissociation. PLoS ONE, 2, e680. doi:10.1371/ journal.pone.0000680.
   PubMed Web of Science ®Google Scholar
• Peng, C. K., Havlin, S., Stanley, H. E., & Goldberger, A. L. (1995). Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time-series. Chaos, 5, 82–87.
   PubMed Web of Science ®Google Scholar
• Perfetti, C. A. (1992). The representation problem in reading acquisition. In P. B. Gough, L. C. Ehri, & R. Treiman ( Eds.), Reading acquisition ( pp. 145–174). Hillsdale, NJ: Erlbaum.
   Google Scholar
• Pikulski, J. J., & Chard, D. J. (2005). Fluency: Bridge between decoding and reading comprehension. The Reading Teacher, 58, 510–519.
   Web of Science ®Google Scholar
• Pinnell, G. S., Pikulski, J. J., Wixson, K. K., Campbell, J. R., Gough, P. B., & Beatty, A. S. (1995). Listening to children read aloud. Washington, DC: U.S. Department of Education, National Center for Education Statistics.
   Google Scholar
• Plaut, D. C. (1997). Structure and function in the lexical system: Insights from distributed models of word reading and lexical decision. Language and Cognitive Processes, 12, 765–805.
   Web of Science ®Google Scholar
• Rasinski, T. V. (2004). What research says about reading: Creating fluent readers. Educational Leadership, 61(6), 46–51.
   Google Scholar
• Rasinski, T. V. (2008). A brief history of reading fluency. In S. Samuels & A. Farstrup ( Eds.), What research has to say about fluency instruction ( pp. 4–23). Newark, DE: International Reading Association.
   Google Scholar
• Rasinski, T. V. (2012). Why reading fluency should be hot. The Reading Teacher, 65, 516–522.
   Web of Science ®Google Scholar
• Rasinski, T., Samuels, S. J., Hiebert, E., Petscher, Y., & Feller, K. (2011). The relationship between a silent reading fluency instructional protocol on students’ reading comprehension and achievement in an urban school setting. Reading Psychology, 32, 75–97.
   PubMedGoogle Scholar
• Riley, M. A., & Turvey, M. T. (2002). Variability and determinism in motor behavior. Journal of Motor Behavior, 34, 99–125.
   PubMed Web of Science ®Google Scholar
• Riley, M. A., & Van Orden, G. (2005). Tutorials in contemporary nonlinear methods for the behavioral sciences. Arlington, VA: National Science Foundation. Retrieved from http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jsp
   Google Scholar
• Samuels, S. J. (2006). Toward a model of reading fluency. In S. Samuels & A. Farstrup ( Eds.), What research has to say about fluency instruction ( pp. 24–46). Newark, DE: International Reading Association.
   Google Scholar
• Schroeder, S. (2011). What readers have and do: Effects of students’ verbal ability and reading time components on comprehension with and without text availability. Journal of Educational Psychology, 103, 877–896.
   Web of Science ®Google Scholar
• Schwanenflugel, P. J., Hamilton, A. M., Wisenbaker, J. M., Kuhn, M. R., & Stahl, S. A. (2004). Becoming a fluent reader: Reading skill and prosodic features in the oral reading of young readers. Journal of Educational Psychology, 96, 119–129.
   PubMed Web of Science ®Google Scholar
• Shockley, K., Richardson, D. C. & Dale, R. (2009). Conversation and coordinative structures. Topics in Cognitive Science, 1, 305–319.
   PubMed Web of Science ®Google Scholar
• Shockley, K. (2005). Cross recurrence quantification of interpersonal postural activity. In M. A. Riley & G. C. Van Orden (Eds.), Tutorials in contemporary nonlinear methods for the behavioral sciences (pp. 26–96). Arlington, VA: National Science Foundation. Retrieved from http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jsp
   Google Scholar
• Silberglitt, B., Burns, M. K., Madyun, N. H., & Lail, K. E. (2006). Relationship of reading fluency assessment data with state accountability test scores: A longitudinal comparison of grade levels. Psychology in the Schools, 43, 527–535.
   Web of Science ®Google Scholar
• Therrien, W. J. (2004). Fluency and comprehension gains as a result of repeated reading: A meta-analysis. Remedial and Special Education, 25(4), 252–261.
   Google Scholar
• Torgesen, J. K., Rashotte, C. A., & Alexander, A. W. (2001). Principles of fluency instruction in reading: Relationships with established empirical outcomes. In M. Wolf ( Ed.), Dyslexia, fluency and the brain ( pp. 333–355). Timonium, MD: York Press.
   Google Scholar
• Turvey, M. T. (1990). Coordination. American Psychologist, 45, 938–953.
   PubMed Web of Science ®Google Scholar
• van der Schoot, M., Reijntjes, A. & van Lieshout, E. C. D. M. (2012). How do children deal with inconsistencies in text? An eye fixation and self-paced reading study in good and poor reading comprehenders. Reading & Writing, 25, 1665–1690.
   PubMed Web of Science ®Google Scholar
• Van Orden, G. (2010). Voluntary performance. Medicina, 46, 681–594.
   Google Scholar
• Van Orden, G., Holden, J. G., & Turvey, M. T. (2003). Self-organization of cognitive performance. Journal of Experimental Psychology: General, 132, 331–350.
   PubMed Web of Science ®Google Scholar
• Van Orden, G., Kloos, H., & Wallot, S. (2011). Living in the pink: Intentionality, wellbeing, and complexity. In C. A. Hooker ( Ed.), Philosophy of complex systems. Handbook of the Philosophy of Science ( Vol. 10, pp. 639–684). Amsterdam, the Netherlands: Elsevier.
   Google Scholar
• Van Orden, G. C., Pennington, B. F., & Stone, G. O. (1990). Word identification in reading and the promise of subsymbolic psycholinguistics. Psychological Review, 97, 488–522.
   PubMed Web of Science ®Google Scholar
• Wallot, S. (2011). The role of reading fluency, text difficulty and prior knowledge in complex reading tasks. University of Cincinnati. ProQuest Dissertations and Theses, 130. Retrieved from http://search.proquest.com/docview/919689845?accountid=28158. (919689845).
   Google Scholar
• Wallot, S., Fusaroli, R., Tylén, K., & Jegindø, E.-M. (2013). Using complexity metrics with RR intervals and BPM heart rate measures. Frontiers in Physiology. doi:10.3389/fphys.2013.00211
   Google Scholar
• Wallot, S., Hollis, G., & van Rooij, M. (2013). Connected text reading and differences in text reading fluency in adult readers. PLOS One, 8, e71914.
   PubMed Web of Science ®Google Scholar
• Wallot, S., O’Brien, B. A., & Van Orden, G. (2012). Fractal and recurrence analysis of psycholinguistic data. In C. Westbury, G. Jarema, & G. Libben ( Eds.), Methodological and analytic frontiers in lexical research ( pp. 395–430). Amsterdam, the Netherlands: John Benjamins.
   Google Scholar
• Wallot, S., & Van Orden, G. (2011). Nonlinear analyses of self-paced reading. The Mental Lexicon, 6, 245–274.
   Google Scholar
• Webber, C. L., Jr., & Zbilut, J. P. (2005). Recurrence quantification analysis of nonlinear dynamical systems. In M. A. Riley & G. C. Van Orden (Eds.), Tutorials in contemporary nonlinear methods for the behavioral sciences (pp. 26–96). Arlington, VA: National Science Foundation. Retrieved from http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jep
   Google Scholar
• Whithear, J. (2011). A review of fluency research and practices for struggling readers in secondary school. Literacy Learning: The Middle Years, 19, 18–28.
   Google Scholar
• Wijnants, M. L., Bosman, A. M. T., Hasselman, F., Cox, R. F. A., & Van Orden, G. (2009). 1/f scaling in movement time changes with practice in precision aiming. Nonlinear Dynamics, Psychology, and Life Sciences, 13, 79–98.
   PubMed Web of Science ®Google Scholar
• Wijnants, M. L., Hasselman, F., Cox, R. F. A., Bosman, A. M. T., & Van Orden, G. (2012). An interaction-dominant perspective on reading fluency and dyslexia. Annals of Dyslexia, 62, 100–119.
   PubMed Web of Science ®Google Scholar
• Wolf, M. (2007). Proust and the squid: The story and science of the reading brain. New York, NY: Harper Collins.
   Google Scholar