Interpreting Reading Comprehension Test Results: Quantile Regression Shows that Explanatory Factors Can Vary with Performance Level

References

• Barnes, M. A., & Dennis, M. (1996). Reading comprehension deficits arise from diverse sources: Evidence from readers with and without developmental brain pathology. In C. Cornoldi & J. Oakhill (Eds.), Reading comprehension difficulties: Processes and intervention (pp. 251–278). Mahwah, NJ: Erlbaum.
   Google Scholar
• Barnes, M. A., Dennis, M., & Haefele-Kalvaitis, J. (1996). The effects of knowledge availability and knowledge accessibility on coherence and elaborative inferencing in children from six to fifteen years of age. Journal of Experimental Child Psychology, 61, 216–241. doi:10.1006/jecp.1996.0015
   PubMed Web of Science ®Google Scholar
• Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47, 1287–1294. doi:10.2307/1911963
   Web of Science ®Google Scholar
• Cain, K., & Oakhill, J. (2006). Profiles of children with specific reading comprehension difficulties. British Journal of Educational Psychology, 76, 683–696. doi:10.1348/000709905X67610
   PubMed Web of Science ®Google Scholar
• Cain, K., & Oakhill, J. (2007). Reading comprehension difficulties: Correlates, causes, and consequences. In K. Cain & J. Oakhill (Eds.), Children’s comprehension problems in oral and written language (pp. 41–75). New York, NY: Guilford Press.
   Google Scholar
• Catts, H. W., Adlof, S. M., & Weismer, S. E. (2006). Language deficits in poor comprehenders: A case for the simple view of reading. Journal of Speech, Language and Hearing Research, 49, 278–293. doi:10.1044/1092-4388(2006/023)
   PubMed Web of Science ®Google Scholar
• Catts, H. W., Hogan, T. P., & Adlof, S. M. (2005). Developmental changes in reading and reading disabilities. In H. W. Catts & A. G. Kamhi (Eds.), Connections between language and reading disabilities. Mahwah, NJ: Erlbaum.
   Google Scholar
• Curtis, M. (1980). Development of components of reading skill. Journal of Educational Psychology, 72, 656–669. doi:10.1037/0022-0663.72.5.656
   Web of Science ®Google Scholar
• Cutting, L., & Scarborough, H. (2006). Prediction of reading comprehension: Relative contributions of word recognition, language proficiency, and other cognitive skills can depend on how comprehension is measured. Scientific Studies of Reading, 10, 277–299. doi:10.1207/s1532799xssr1003_5
   Web of Science ®Google Scholar
• Dunn, L. M., & Markwardt, F. C. (1970). Examiner’s manual: Peabody individual achievement test. Circle Pines, MN: American Guidance Service.
   Google Scholar
• Francis, D. J., Fletcher, J. M., Catts, H. W., & Tomblin, J. (2005). Dimensions affecting the assessment of reading comprehension. In S. G. Paris & S. A. Stahl (Eds.), Children’s reading comprehension and assessment (pp. 369–394). Mahwah, NJ: Erlbaum.
   Google Scholar
• Gough, P. B., & Tunmer, W. E. (1986). Decoding, reading and reading disability. Remedial and Special Education, 7, 6–10. doi:10.1177/074193258600700104
   Google Scholar
• Hao, L., & Naiman, D. Q. (2007). Quantile regression. Thousand Oaks, CA: Sage.
   Google Scholar
• Hoover, W., & Tunmer, W. E. (1993). The components of reading. In G. B. Thompson, W. E. Tunmer, & T. Nicholson (Eds.), Reading acquisition processes (pp. 1–19). Adelaide, Australia: Multilingual Matters.
   Google Scholar
• Keenan, J. M. (2014). Assessment of reading comprehension. In C. A. Stone, E. R. Silliman, B. J. Ehren, & G. P. Wallach (Eds.), Handbook of Language and Literacy: Development and Disorders (2nd Edition). New York, NY: Guilford Press.
   Google Scholar
• Keenan, J. M., & Betjemann, R. S. (2006). Comprehending the gray oral reading test without reading it: Why comprehension tests should not include passage-independent items. Scientific Studies of Reading, 10, 363–380. doi:10.1207/s1532799xssr1004_2
   Web of Science ®Google Scholar
• Keenan, J., Betjemann, R., & Olson, R. (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
   Web of Science ®Google Scholar
• Keenan, J. M., Betjemann, R. S., Wadsworth, S. J., DeFries, J. C., & Olson, R. K. (2006). Genetic and environmental influences on reading and listening comprehension. Journal of Research in Reading, 29, 75–91. doi:10.1111/jrir.2006.29.issue-1
   Web of Science ®Google Scholar
• Keenan, J. M., Hua, A. N., Meenan, C. E., Pennington, B. F., Willcutt, E., & Olson, R. K. (2014). Issues in identifying poor comprehenders. L’Année Psychologique, 114, 753–777. doi:10.4074/S0003503314004072
   PubMed Web of Science ®Google Scholar
• Keenan, J. M., & Meenan, C. E. (2014). Test differences in diagnosing reading comprehension deficits. Journal of Learning Disabilities, 47, 125–135. doi:10.1177/0022219412439326
   PubMed Web of Science ®Google Scholar
• Koenker, R. (2005). Quantile regression. New York, NY: Cambridge University Press.
   Google Scholar
• Koenker, R., & Basset, G. (1978). Regression quantiles. Econometrica, 46, 33–50. doi:10.2307/1913643
   Web of Science ®Google Scholar
• Koenker, R., & Bassett, G. (1982). Robust tests for heteroscedasticity based on regression quantiles. Econometrica, 50, 43–61. doi:10.2307/1912528
   Web of Science ®Google Scholar
• Leslie, L., & Caldwell, J. (2001). Qualitative Reading Inventory–3. New York, NY: Addison Wesley Longman.
   Google Scholar
• Logan, J. A. R., Petrill, S. A., Hart, S. A., Schatschneider, C., Thompson, L. A., Deater-Deckard, K., … Bartlett, C. (2012). Heritability across the distribution: An application of quantile regression. Behavioral Genetics, 42, 256–267. doi:10.1007/s10519-011-9497-7
   PubMed Web of Science ®Google Scholar
• McNamara, D. S., & Magliano, J. (2009). Toward a comprehensive model of comprehension. Psychology of Learning and Motivation, 51, 297–384.
   Web of Science ®Google Scholar
• Nation, K., & Snowling, M. (1997). Assessing reading difficulties: The validity and utility of current measures of reading skill. British Journal of Educational Psychology, 67, 359–370. doi:10.1111/bjep.1997.67.issue-3
   PubMed Web of Science ®Google Scholar
• Olson, R. K. (2006). Genes, environment, and dyslexia the 2005 Norman Geschwind memorial lecture. Annals of Dyslexia, 56, 205–238. doi:10.1007/s11881-006-0010-6
   PubMed Web of Science ®Google Scholar
• Olson, R., Forsberg, H., Wise, B., & Rack, J. (1994). Measurement of word recognition, orthographic, and phonological skills. In G. R. Lyon (Ed.), Frames of reference for the assessment of learning disabilities: New views on measurement issues (pp. 243–277). Baltimore, MD: Brookes.
   Google Scholar
• Petscher, Y., & Logan, J. A. (2013). Quantile regression in the study of developmental sciences. Child Development, 85, 861–881. doi:10.1111/cdev.12190
   PubMed Web of Science ®Google Scholar
• R Development Core Team. (2011). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org
   Google Scholar
• Tighe, E. L., & Schatschneider, C. (2016). A quantile regression approach to understanding the relations among morphological awareness, vocabulary, and reading comprehension in adult basic education students. Journal of Learning Disabilities, 49, 1–13.
   Web of Science ®Google Scholar
• Vellutino, F. R., Tunmer, W. E., Jaccard, J. J., & Chen, R. (2007). Components of reading ability: Multivariate evidence for a convergent skills model of reading development. Scientific Studies of Reading, 11, 3–32. doi:10.1080/10888430709336632
   Web of Science ®Google Scholar
• Wiederholt, L., & Bryant, B. (1992). Examiner’s manual: Gray oral reading test–3. Austin, TX: Pro-Ed.
   Google Scholar
• Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock–Johnson III Tests of Achievement. Itasca, IL: Riverside.
   Google Scholar