Skip to main content

Advertisement

Log in

The role of RAN and reading rate in predicting reading self-concept

  • Published:
Reading and Writing Aims and scope Submit manuscript

Abstract

Social identity theory states that a person’s self-concept is created from comparison with others (Walsh & Gordon, 2008). In the case of reading, oral reading is a salient feature young children have to compare themselves on to their classroom peer group. The current study was set to explore the ability of oral reading tasks such as rapid naming and reading rate as well as measures of accuracy and reading comprehension to independently predict reading self-concept among young developing Hebrew readers. Data from 138 s to third grade students was analyzed using a structural equation modeling analyses (SEM). Findings indicated that the path between RAN-L and reading rate was the strongest and single predictor of reading self-concept. The findings suggest that speed-based performance is linked to both cognitive and psychosocial related difficulties and that slow readers are at risk for lower reading self-concept.

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
Fig. 2

Similar content being viewed by others

Notes

  1. The logic is defined as \( \ln( {\frac{1 - p}{p}}) \) where p is a proportion.

  2. Several indexes of fit have been suggested to evaluate the goodness of fit. In the current study, we considered the Comparative Fit Index (CFI), and the root mean square error of approximation (RMSEA).

  3. In addition, Mullis, Martin, Kennedy and Foy (2007) revealed that in the PIRLS 2006 students with a high level of reading self-concept had an average achievement of 50 points higher than students at the medium level of reading self-concept, and those at the medium level had an average achievement of more than 40 points higher than students at the low level of reading self-concept.

References

  • Ackerman, R., & Koriat, A. (2011). Response latency as a predictor of the accuracy of children’s reports. Journal of Experimental Psychology: Applied, 17(4), 406.

    Google Scholar 

  • Ackerman, R., & Zalmanov, H. (2012). The persistence of the fluency–confidence association in problem solving. Psychonomic Bulletin and Review, 19(6), 1187–1192.

    Article  Google Scholar 

  • Adams, M. J. (1990). Beginning to read: Thinking and learning about print. Cambridge, MA: MIT Press.

    Google Scholar 

  • Armitage, P., & Berry, G. (1994). Statistical methods in medical research (3rd ed.). Oxford: Blackwell Science.

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Belk, R. W. (1988). Possessions and the extended self. Journal of Consumer Research, 15(2), 139–168.

    Article  Google Scholar 

  • Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15(1), 1–40.

    Article  Google Scholar 

  • Breznitz, Z. (2005). Brain activity during performance of naming tasks: Comparison between dyslexic and regular readers. Scientific Studies of Reading, 9(1), 17–42.

    Article  Google Scholar 

  • Cahan, S. (1998). Intelligence scale for children. Revised Manual. Hebrew version of Wechsler’s 1974 version. Jerusalem: Psychoeducational Services and H. Szold Institute.

  • Chapman, J. W., & Tunmer, W. E. (1995). Development of young children’s reading self concepts: An examination of emerging subcomponents and their relationship with reading achievement. Journal of Educational Psychology, 87(1), 154–167.

    Article  Google Scholar 

  • Chapman, J. W., & Tunmer, W. E. (1997). A longitudinal study of beginning reading achievement and reading self-concept. British Journal of Educational Psychology, 67, 279–291.

    Article  Google Scholar 

  • Chapman, J. W., & Tunmer, W. E. (2003). Reading difficulties, reading-related self-perceptions, and strategies for overcoming negative self-beliefs. Reading and Writing Quarterly, 19, 5–24.

    Article  Google Scholar 

  • Chapman, J. W., Tunmer, W. E., & Prochnow, J. E. (2000). Early reading-related skills and performance, reading self-concept, and the development of academic self-concept: A longitudinal study. Journal of Educational Psychology, 92, 703–708.

    Article  Google Scholar 

  • Christopher, M. E., Miyake, A., Keenan, J. M., Pennington, B., DeFries, J. C., Wadsworth, S. J., et al. (2012). Predicting word reading and comprehension with executive function and speed measures across development: A latent variable analysis. Journal of Experimental Psychology: General, 141(3), 470.

    Article  Google Scholar 

  • Conlon, E. G., Zimmer-Gembeck, M. J., Creed, P. A., & Tucker, M. (2006). Family history, self perceptions, attitudes and cognitive abilities are associated with early adolescent reading skills. Journal of Research in Reading, 29(1), 11–32.

    Article  Google Scholar 

  • Conradi, K., Jang, B. G., & McKenna, M. C. (2014). Motivation terminology in reading research: A conceptual review. Educational Psychology Review, 26(1), 127–164.

    Article  Google Scholar 

  • de Jong, P. F., & van der Leij, A. (2003). Developmental changes in the manifestation of a phonological deficit in dyslexic children learning to read a regular orthography. Journal of Educational Psychology, 95(1), 22.

    Article  Google Scholar 

  • Denckla, M. B., & Rudel, R. G. (1976). Rapid ‘automatized’naming (RAN): Dyslexia differentiated from other learning disabilities. Neuropsychologia, 14(4), 471–479.

  • Dweck, C. S. (1999). Self-theories: Their role in motivation, personality and development. Philadelphia: Psychology Press.

    Google Scholar 

  • Gorsuch, G., & Taguchi, E. (2010). Developing reading fluency and comprehension using repeated reading: Evidence from longitudinal student reports. Language Teaching Research, 14, 27–59.

    Article  Google Scholar 

  • Grabe, W. (2009). Reading fluency, reading rate and comprehension. Reading in a second language: Moving from theory to practice (pp. 289–310). New York: Cambridge University Press.

    Google Scholar 

  • Harter, S. (2012). The construction of the self: Developmental and sociocultural foundations. New York: Guilford Press.

    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(4), 719.

    Article  Google Scholar 

  • Johnston, T. C., & Kirby, J. R. (2006). The contribution of naming speed to the simple view of reading. Reading and Writing, 19(4), 339–361.

    Article  Google Scholar 

  • Kail, R., Hall, L. K., & Caskey, B. J. (1999). Processing speed, exposure to print, and naming speed. Applied Psycholinguistics, 20(02), 303–314.

    Article  Google Scholar 

  • Kasperski, R. (2009). Beyond the cognitive factors in reading comprehension: The role of reading self-concept and reading self-confidence. Master’s thesis, University of Haifa.

  • Kasperski, R., & Katzir, T. (2013). Are confidence ratings test- or trait-driven? Individual differences among high, average, and low comprehenders in fourth grade. Reading Psychology, 34(1), 59–84.

    Article  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. http://www.plosone.org/article/info:doi/10.1371/journal.pone.0074061.

  • Katzir, T., Kim, Y. S., Wolf, M., Morris, R., & Lovett, M. W. (2008). The varieties of pathways to dysfluent reading comparing subtypes of children with dyslexia at letter, word, and connected text levels of reading. Journal of learning disabilities, 41(1), 47–66.

  • Katzir, T., Lesaux, N. K, & Kim, Y. S. (2009). The role of reading self-concept and home literacy environment in fourth grade reading comprehension. Journal of Reading and Writing, 22(3), 261–276.

  • Katzir, T., Shaul, S., Breznitz, Z., & Wolf, M. (2004). The universal and the unique in dyslexia: A cross-linguistic investigation of reading and reading fluency in Hebrew-and English-speaking children with reading disorders. Reading and Writing, 17(7–8), 739–768.

    Article  Google Scholar 

  • Kleitman, S., & Stankov, L. (2007). Self-confidence and metacognitive processes. Learning and Individual Differences, 17(2), 161–173.

    Article  Google Scholar 

  • Koriat, A. (2008). Subjective confidence in one’s answers: The consensuality principle. Journal of Experimental Psychology. Learning, Memory, and Cognition, 34(4), 945.

    Article  Google Scholar 

  • Koriat, A., & Ackerman, R. (2010). Choice latency as a cue for children’s subjective confidence in the correctness of their answers. Developmental Science, 13(3), 441–453.

    Article  Google Scholar 

  • LaBerge, D., & Samuels, J. (1974). Towards a theory of automatic information processing in reading. Cognitive Psychology, 6, 293–323.

    Article  Google Scholar 

  • Lepola, J., Poskiparta, E., Laakkonen, E., & Niemi, P. (2005). Development of and relationship between phonological and motivational processes and naming speed in predicting word recognition in grade 1. Scientific Studies of Reading, 9(4), 367–399.

    Article  Google Scholar 

  • Marsh, H. W. (1986). Verbal and math self-concepts: An internal/external frame of reference model. American Educational Research Journal, 23(1), 129–149.

    Article  Google Scholar 

  • Marsh, H. W. (1987). The big-fish–little-pond effect on academic self-concept. Journal of Educational Psychology, 79(3), 280.

    Article  Google Scholar 

  • Marsh, H. W. (1990). The causal ordering of academic self-concept and academic achievement: A multiwave, longitudinal panel analysis. Journal of Educational Psychology, 82, 646–656. doi:10.1037/0022-0663.82.4.646

    Article  Google Scholar 

  • Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1(2), 133–163.

    Article  Google Scholar 

  • Marsh, H. W., & Hau, K. T. (2003). Big-fish–little-pond effect on academic self-concept: A cross-cultural (26-country) test of the negative effects of academically selective schools. American Psychologist, 58(5), 364.

    Article  Google Scholar 

  • Marsh, H. W., & Parker, J. W. (1984). Determinants of student self-concept: Is it better to be a relatively large fish in a small pond even if you don’t learn to swim as well? Journal of Personality and Social Psychology, 47(1), 213.

    Article  Google Scholar 

  • Möller, J., Pohlmann, B., Köller, O., & Marsh, H. W. (2009). A meta-analytic path analysis of the internal/external frame of reference model of academic achievement and academic self-concept. Review of Educational Research, 79(3), 1129–1167.

    Article  Google Scholar 

  • Morgan, P. L., & Fuchs, D. (2007). Is there a bidirectional relationship between children’s reading skills and reading motivation? Exceptional children, 73(2), 165–183.

    Article  Google Scholar 

  • Mullis, I. V. S., Martin, M. O., Foy, P., & Drucker, K. T. (2012). PIRLS 2011 international results in reading. Chestnut Hill, MA: TIMSS and PIRLS International Study Center, Lynch School of Education, Boston College.

    Google Scholar 

  • Mullis, I. V., Martin, M. O., Kennedy, A. M., & Foy, P. (2007). PIRLS 2006 international report: IEA’s progress in international reading literacy study in primary schools in 40 countries. Chestnut Hill, MA: Boston College.

    Google Scholar 

  • Nathan, R. G., & Stanovich, K. E. (1991). The causes and consequences of differences in reading fluency. Theory into practice, 30(3), 176–184.

    Article  Google Scholar 

  • National Reading Panel. (2000). Report of the National Reading Panel. Washington, DC: National Institute for child Health and Human Development.

    Google Scholar 

  • Nietfeld, J. L., & Schraw, G. (2002). The effect of knowledge and strategy training on monitoring accuracy. The Journal of Educational Research, 95(3), 131–142.

    Article  Google Scholar 

  • Norton, E. S., & Wolf, M. (2012). Rapid automatized naming (RAN) and reading fluency: Implications for understanding and treatment of reading disabilities. Annual Review of Psychology, 63, 427–452.

    Article  Google Scholar 

  • Pajares, F., & Schunk, D. (2001). The development of academic self-efficacy. United States: Development of achievement motivation.

    Google Scholar 

  • Perfetti, C. A., Landi, N., & Oakhill, J. (2005). The acquisition of reading comprehension skill. In S. J. Snowling & C. Hulme (Eds.), The science of reading: A handbook (pp. 227–247). Oxford: Blackwell Publishing.

  • Raven, J., Raven, J. C., & Court, J. H. (1998). Raven manual, Section 1, General overview, 1998 edition. Oxford, UK: Oxford Psychologists Press.

  • Retelsdorf, J., Köller, O., & Möller, J. (2014). Reading achievement and reading self-concept—Testing the reciprocal effects model. Learning and Instruction, 29, 21–30.

    Article  Google Scholar 

  • Robinson, M. D., Johnson, J. T., & Herndon, F. (1997). Reaction time and assessments of cognitive effort as predictors of eyewitness memory accuracy and confidence. Journal of Applied Psychology, 82(3), 416.

    Article  Google Scholar 

  • Schunk, D. H. (1987). Peer models and children’s behavioral change. Review of Educational Research, 57, 149–174.

    Article  Google Scholar 

  • Shany, M., Lahman, D., Shalem, T., Bahat, A., & Zayger, T. (2006). “Alef ad taf”—A system for diagnosing disabilities in the processes of reading and writing according to national norms. Holon: Yesod publishing.

    Google Scholar 

  • Shany, M., & Share, D. L. (2011). Subtypes of reading disability in a shallow orthography: a double dissociation between accuracy-disabled and rate-disabled readers of Hebrew. Annals of Dyslexia, 61(1), 64–84.

    Article  Google Scholar 

  • Share, D. L. (2008). On the Anglocentricities of current reading research and practice: the perils of overreliance on an “outlier” orthography. Psychological Bulletin, 134(4), 584.

    Article  Google Scholar 

  • Share, D. L., & Levin, I. (1999). Learning to read and write in Hebrew (pp. 89–111). Learning to read and write: A cross-linguistic perspective.

    Google Scholar 

  • Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46, 407–441.

  • Stankov, L. & Crawford, J. D. (1997). Self-confidence and performance on tests of cognitive abilities. Intelligence, 25, 93–109.

    Article  Google Scholar 

  • Stankov, L., & Schweizer, K. (2007). Raven’s Progressive Matrices, manipulations of complexity and measures of accuracy, speed and confidence. Psychology Science, 49(4), 326.

    Google Scholar 

  • Stanovich, K. E. (1986). Matthew effects in reading: Some consequences of individual differences in the acquisition of literacy. Reading Research Quarterly, 21(4), 360–407.

    Article  Google Scholar 

  • Torgesen, J. K., Alexander, A. W., Wagner, R. K., Rashotte, C. A., Voeller, K., Conway, T., & Rose, E. (2001). Intensive remedial instruction for children with severe reading disabilities: Immediate and long-term outcomes from two instructional approaches. Journal of Learning Disabilities, 34, 33–58.

    Article  Google Scholar 

  • Tov-li, E. (2000). A reading and writing test battery for 1st—9th graders (in Hebrew). Kiriat Bialik: Ach.

    Google Scholar 

  • Walsh, K., & Gordon, J. R. (2008). Creating an individual work identity. Human Resource Management Review, 18(1), 46–61.

    Article  Google Scholar 

  • Wolf, M., & Bowers, P. G. (1999). The double-deficit hypothesis for the developmental dyslexias. Journal of Educational Psychology, 91(3), 415.

    Article  Google Scholar 

  • Wolf, M., & Denckla, M. B. (2005). Rapid automatized naming and rapid alternating stimulus tests (RAN/RAS). Austin, TX: Pro-Ed.

  • Wolf, M., & Katzir-Cohen, T. (2001). Reading fluency and its intervention. Scientific Studies of Reading, 5(3), 211–239.

    Article  Google Scholar 

Download references

Acknowledgments

We thank Prof. James Chapman and Prof. Sharon Vaughn for their valuable comments on the PhD thesis on which the current article is based and Tal Erez for her editorial assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tami Katzir.

Appendix

Appendix

See Table 4.

Table 4 The competence subscale of the reading self-concept scalea (Chapman & Tunmer, 1995)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kasperski, R., Shany, M. & Katzir, T. The role of RAN and reading rate in predicting reading self-concept. Read Writ 29, 117–136 (2016). https://doi.org/10.1007/s11145-015-9582-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11145-015-9582-z

Keywords

Navigation