Psychological Development and Education ›› 2016, Vol. 32 ›› Issue (6): 706-716.doi: 10.16187/j.cnki.issn1001-4918.2016.06.09

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The Validity of the RTI Model for Identifying Learning Disabilities and the Moderators: A Meta-analysis of the Past Two Decades' Studies

WANG Cuicui1, XU Qinfang1,2, TAO Sha1   

  1. 1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875;
    2. National Innovation Center for Assessment of Basic Education Quality, Beijing 100875
  • Online:2016-11-15 Published:2016-11-15

Abstract: Learning disability is one of common neurocognitive developmental disorders among children and adolescents. The mode of Response to intervention (RTI) has been recommended to identify learning disabilities since 2004.However, the validity of the RTI model for identifying learning disabilities has been questioned. This study aimed to exam the validity of the RTI model and the moderating effects of the major variables being involved in the application of RTI model on the basis of the past two decades' of studies. Articles were obtained using keywords, i.e., "RTI(response to intervention) "and "Dyslexia" or "Dyscalculia" or "Specific learning difficulties/disorders" or "Reading disorder (s)/difficulties" or "Mathematical disorder (s)/difficulties" from Web of science, Psychoinform and CNKI. Thirty-four studies published within 1996 to 2015 met the criteria and were included into the meta-analysis, yielding 45 samples (N=6,127) and 261 weighted effect sizes (ESs). Results indicated:(1)The non-responders performed significantly poorer on academic achievement, cognitive skills and behaviors than the responders, and the ESs of all the variables were above 0.5.(2)Evidences from six longitudinal studies indicated that the gap between the groups of responders and non-responders were persistent across time on academic achievement and cognitive skills, but some responders may perform similarly to the non-responders at the follow-up assessments.(3)Moderating effects were found significant for the severity of learning difficulty, intervention tier and duration. Significantly larger ESs emerged from the studies about at-risk students, using short-term intensive Tier 2 intervention rather than from those students with severe learning difficulties, using long-term multi-tiered intervention.(4)Moderating effects were also found significant for measures and criteria of responsive status. Academic achievement rather than cognitive skills were more reliable as the indicators of responsiveness. Compared with the growth or the dual discrepancy criteria, the achievement status was more reliable in differentiating responders and non-responders. When standardized, norm-referenced instruments were used for measuring academic achievement, the 16th percentile would be recommended as the cut-off points. And when non-standardized instruments were used, the 25th percentile would be preferred. Findings from this meta-analysis support the RTI model valid for identifying the subgroups of at risk students for learning disabilities. Guidelines for implementing RTI model in research and practices were recommended. Future directions were also discussed.

Key words: response to intervention (RTI), identification of learning disability, meta-analysis

CLC Number: 

  • G442

Al Otaiba, S., & Fuchs, D. (2002). Characteristics of children who are unresponsive to early literacy intervention a review of the literature. Remedial and Special Education, 23 (5), 300-316.

Al Otaiba, S., & Fuchs, D. (2006). Who are the young children for whom best practices in reading are ineffective? An experimental and longitudinal study. Journal of Learning Disabilities, 39 (5), 414-431.

Al Otaiba, S., Kim, Y. S., Wanzek, J., Petscher, Y., & Wagner, R. K. (2014). Long term effects of first grade multi-tier intervention. Journal of Research on Educational Effectiveness, 7 (3), 250-267.

American Psychiatric Association. (2013). The Diagnostic and Statistical Manual of Mental Disorders:DSM 5. Bookpointz, US.

Amtmann, D., Abbott, R. D., & Berninger, V. W. (2008). Identifying and predicting classes of response to explicit phonological spelling instruction during independent composing. Journal of Learning Disabilities, 41 (3), 218-234.

Andrade, O. V. C. D. A., Andrade, P. E., & Capellini, S. A. (2015). Collective screening tools for early identification of dyslexia. Frontiers in Psychology, 5, 1581-1581.

Bach, S., Richardson, U., Brandeis, D., Martin, E., & Brem, S. (2013). Print-specific multimodal brain activation in kindergarten improves prediction of reading skills in second grade. Neuroimage, 82, 605-615.

Barth, A. E., Denton, C. A., Stuebing, K. K., Fletcher, J. M., Cirino, P. T., Francis, D. J., & Vaughn, S. (2010). A test of the cerebellar hypothesis of dyslexia in adequate and inadequate responders to reading intervention. Journal of the International Neuropsychological Society, 16 (3), 526-536.

Berninger, V. W., Abbott, R. D., Vermeulen, K., Ogier, S., Brooksher, R., Zook, D., & Lemos, Z. (2002). Comparison of faster and slower responders to early intervention in reading:Differentiating features of their language profiles. Learning Disability Quarterly, 25 (1), 59-76.

Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2014). Introduction to meta-analysis. John Wiley & Sons.

Burns, M. K., Appleton, J. J., & Stehouwer, J. D. (2005). Meta-analytic review of responsiveness-to-intervention research:Examining field-based and research-implemented models. Journal of Psychoeducational Assessment, 23 (4), 381-394.

Butterworth, B., & Kovas, Y. (2013). Understanding neurocognitive developmental disorders can improve education for all. Science, 340 (6130), 300-305.

Case L., Speece, D. L. & Molly D E. (2003). The validity of a response-to-instruction paradigm to identify reading disabilities:A longitudinal analysis of individual differences and contextual factors. School Psychology Review, 32 (4), 557-582.

Case, L., Speece, D., Silverman, R., Schatschneider, C., Montanaro, E., & Ritchey, K. (2014). Immediate and long term effects of tier 2 reading instruction for first-grade students with a high probability of reading failure. Journal of Research on Educational Effectiveness, 7 (1), 28-53.

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale:Earlbaum, USA.

Compton, D. L. (2000). Modeling the response of normally achieving and at-risk first grade children to word reading instruction. Annals of Dyslexia, 50 (1), 53-84.

Compton, D. L., Gilbert, J. K., Jenkins, J. R., Fuchs, D., Fuchs, L. S., Cho, E.,... & Bouton, B. (2012). Accelerating chronically unresponsive children to tier 3 instruction what level of data is necessary to ensure selection accuracy? Journal of Learning Disabilities, 45 (3), 204-216.

Davis, N., Barquero, L., Compton, D. L., Fuchs, L. S., Fuchs, D., Gore, J. C., & Anderson, A. W. (2011). Functional correlates of children's responsiveness to intervention. Developmental Neuropsychology, 36 (3), 288-301.

Denton, C. A., Tolar, T. D., Fletcher, J. M., Barth, A. E., Vaughn, S., & Francis, D. J. (2013). Effects of tier 3 intervention for students with persistent reading difficulties and characteristics of inadequate responders. Journal of Educational Psychology, 105 (3), 633-648.

Denton, C. A., Wexler, J., Vaughn, S., & Bryan, D. (2008). Intervention provided to linguistically diverse middle school students with severe reading difficulties. Learning Disabilities Research & Practice, 23 (2), 79-89.

Dion, E., Roux, C., Landry, D., Fuchs, D., Wehby, J., & Dupéré, V. (2011). Improving attention and preventing reading difficulties among low-income first-graders:A randomized study. Prevention Science, 12 (1), 70-79.

Ellis, P. D. (2010). The essential guide to effect sizes:Statistical power, meta-analysis, and the interpretation of research results. Cambridge University Press.

Fletcher, J. M., Francis, D. J., Morris, R. D., & Lyon, G. R. (2005). Evidence-based assessment of learning disabilities in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34 (3), 506-522.

Fletcher, J. M., Stuebing, K. K., Barth, A. E., Denton, C. A., Cirino, P. T., Francis, D. J., & Vaughn, S. (2011). Cognitive correlates of inadequate response to reading intervention. School Psychology Review, 40 (1), 3-22.

Fletcher, J. M., & Vaughn, S. (2009). Response to intervention:Preventing and remediating academic difficulties. Child Development Perspectives, 3 (1), 30-37.

Frijters, J. C., Lovett, M. W., Steinbach, K. A., Wolf, M., Sevcik, R. A., & Morris, R. D. (2011). Neurocognitive predictors of reading outcomes for children with reading disabilities. Journal of Learning Disabilities, 44 (2), 150-166.

Fuchs, D., Compton, D. L., Fuchs, L. S., Bryant, V. J., Hamlett, C. L., & Lambert, W. (2012). First-grade cognitive abilities as long-term predictors of reading comprehension and disability status. Journal of Learning Disabilities, 45 (3), 217-231.

Fuchs, D., & Deshler, D. D. (2007). What we need to know about responsiveness to intervention (and shouldn't be afraid to ask). Learning Disabilities Research & Practice, 22 (2), 129-136.

Fuchs, D., Mock, D., Morgan, P. L., & Young, C. L. (2003). Responsiveness-to-intervention:Definitions, evidence, and implications for the learning disabilities construct. Learning Disabilities Research & Practice, 18 (3), 157-171.

Fuchs, L.S., Compton, D. L., Fuchs, D., Paulsen, K., Bryant, J. D., & Hamlett, C. L. (2005). The prevention, identification, and cognitive determinants of math difficulty. Journal of Educational Psychology, 97 (3), 493-513.

Fuchs, L.S., Fuchs, D., & Compton, D. L. (2013). Intervention effects for students with comorbid forms of learning disability understanding the needs of non-responders. Journal of Learning Disabilities, 46 (6), 534-548.

Fuchs, L.S., Fuchs, D., & Prentice, K. (2004). Responsiveness to mathematical problem-solving instruction comparing students at risk of mathematics disability with and without risk of reading disability. Journal of Learning Disabilities, 37 (4), 293-306.

Gold, A. B., Ewing-Cobbs, L., Cirino, P., Fuchs, L. S., Stuebing, K. K., & Fletcher, J. M. (2013).

Cognitive and behavioral attention in children with math difficulties. Child Neuropsychology, 19 (4), 420-437.

Greenwood, C. R., Bradfield, T., Kaminski, R., Linas, M., Carta, J. J., & Nylander, D. (2011). The Response to Intervention (RTI) approach in early childhood. Focus on Exceptional Children, 43 (9), 1-22.

Greulich, L., Al Otaiba, S., Schatschneider, C., Wanzek, J., Ortiz, M., & Wagner, R. K. (2014). Understanding inadequate response to first-grade multi-tier intervention nomothetic and ideographic perspectives. Learning Disability Quarterly, 37 (4), 204-217.

Hale, J. B., Alfonso, V., Berninger, B., Bracken, B.,Christo, C., Clark, E., Yalof, J., (2010). Critical issues in response-to-intervention, comprehensive evaluation, and specific learning disabilities identification and intervention:An expert white paper consensus. Learning Disability Quarterly, 33, 223-236.

Hedges, L., & Olkin, I. (1985). Statistical models for meta-analysis. New York:Academic Press. Hedges, LV, & Pigott, TD (2001). The power of statistical tests in meta-analysis. Psychological Methods, 6, 203-217.

Ito, T. A., Miller, N., & Pollock, V. E. (1996). Alcohol and aggression:a meta-analysis on the moderating effects of inhibitory cues, triggering events, and self-focused attention. Psychological Bulletin, 120 (1), 60-82.

Johnson, E., Mellard, D. F., Fuchs, D., & McKnight, M. A. (2006). Responsiveness to Intervention (RTI):How to Do It.[RTI Manual]. National Research Center on Learning Disabilities.

Lipka, O., & Siegel, L. S. (2010). The improvement of reading skills of L1 and ESL children using a Response to Intervention (RTI) Model. Psicothema, 22 (4), 963-969.

Lundahl, B., Risser, H. J., & Lovejoy, M. C. (2006). A meta-analysis of parent training:Moderators and follow-up effects. Clinical Psychology review, 26 (1), 86-104.

Lyon, G. R. (1995). Toward a definition of dyslexia. Annals of Dyslexia, 45 (1), 1-27.

Melby-Lervåg, M., Lyster, S. A. H., & Hulme, C. (2012). Phonological skills and their role in learning to read:a meta-analytic review. Psychological Bulletin, 138 (2), 322-352.

Molfese, P. J., Fletcher, J. M., & Denton, C. A. (2013). Adequate versus inadequate response to reading intervention:an event-related potentials assessment. Developmental Neuropsychology, 38 (8), 534-549.

National Reading Panel (US), National Institute of Child Health, & Human Development (US). (2000). Report of the national reading panel:Teaching children to read:An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction:Reports of the subgroups. National Institute of Child Health and Human Development, National Institutes of Health.

O'Connor, R. E., Bocian, K. M., Beach, K. D., Sanchez, V., & Flynn, L. J. (2013). Special education in a 4-year Response to Intervention (RTI) Environment:Characteristics of students with learning disability and grade of identification. Learning Disabilities Research & Practice, 28 (3), 98-112.

O'Connor, R. E., Fulmer, D., Harty, K. R., & Bell, K. M. (2005). Layers of reading intervention in kindergarten through third grade changes in teaching and student outcomes. Journal of Learning Disabilities, 38 (5), 440-455.

O'Connor, R. E., Harty, K. R., & Fulmer, D. (2005). Tiers of intervention in kindergarten through third grade. Journal of Learning Disabilities, 38 (6), 532-538.

Reynolds, C.R., & Shaywitz, S.E. (2009a). Response to Intervention:Ready or not? Or from wait-to-fail to watch-them-fail. School Psychology Quarterly, 24 (2), 130-145.

Reynolds, C.R., & Shaywitz, S. E. (2009b) Response to Intervention:Prevention and remediation, perhaps. Diagnosis, no. Child Development Perspectives, 3 (1), 44-47.

Rezaie, R., Simos, P. G., Fletcher, J. M., Cirino, P. T., Vaughn, S., & Papanicolaou, A. C. (2011a). Engagement of temporal lobe regions predicts response to educational interventions in adolescent struggling readers. Developmental Neuropsychology, 36 (7), 869-888.

Rezaie, R., Simos, P. G., Fletcher, J. M., Cirino, P. T., Vaughn, S., & Papanicolaou, A. C. (2011b). Temporo-parietal brain activity as a longitudinal predictor of response to educational interventions among middle school struggling readers. Journal of the International Neuropsychological Society, 17 (5), 875-885.

Rothstein, H. R., Sutton, A. J., & Borenstein, M. (Eds.). (2006). Publication bias in meta-analysis:Prevention, assessment and adjustments. John Wiley & Sons.

Scarborough, H. S. (1998). Predicting the future achievement of second graders with reading disabilities:Contributions of phonemic awareness, verbal memory, rapid naming, and IQ. Annals of Dyslexia, 48 (1), 115-136.

Scheltinga, F., van der Leij, A., & Struiksma, C. (2010). Predictors of response to intervention of word reading fluency in Dutch. Journal of Learning Disabilities, 43 (3), 212-228.

Shaywitz, S. E. (1998). Dyslexia. New England Journal of Medicine, 338 (5), 307-312.

Speece, D. L., & Walker, C. Y. (2007). What are the issues in Response to Intervention research? Haager, Diane (Ed); Klingner, Janette (Ed); Vaughn, Sharon (Ed), Evidence-based reading practices for response to intervention (pp. 287-301).US:Paul H Brookes Publishing.

Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology:A meta-analysis. Review of Educational Research, 69 (1), 21-51.

Toste, J. R., Compton, D. L., Fuchs, D., Fuchs, L. S., Gilbert, J. K., Cho, E.,... & Bouton, B. D. (2014). Understanding unresponsiveness to tier 2 reading intervention:Exploring the classification and profiles of adequate and inadequate responders in first grade. Learning Disability Quarterly, 37 (4), 192-203.

Tran, L., Sanchez, T., Arellano, B., & Swanson, H. L. (2011). A meta-analysis of the RTI literature for children at risk for reading disabilities. Journal of Learning Disabilities, 44 (3), 283-295.

Vaughn, S., Linan-Thompson, S., & Hic km an, P. (2003). Response to instruction as a means of identifying students with reading/learning disabilities. Exceptional Children, 69 (4), 391-409.

Vellutino, F. R., Scanlon, D. M., Sipay, E. R., Small, S. G., Pratt, A., Chen, R., & Denckla, M. B. (1996). Cognitive profiles of difficult-to-remediate and readily remediated poor readers:Early intervention as a vehicle for distinguishing between cognitive and experiential deficits as basic causes of specific reading disability. Journal of Educational Psychology, 88 (4), 601-638.

Vellutino, F. R., Scanlon, D. M., Small, S., & Fanuele, D. P. (2006). Response to Intervention as a vehicle for distinguishing between children with and without reading disabilities:Evidence for the role of kindergarten and first-grade interventions. Journal of Learning Disabilities, 39 (2), 157-169.

Wolf, M., & Bowers, P. G. (1999). The double-deficit hypothesis for the developmental dyslexias. Journal of Educational Psychology, 91 (3), 415-438.

刘云英, 陶沙. (2007). 阅读困难诊断标准与模式的"后智力-成就差异" 趋势. 北京师范大学学报:社会科学版, (5), 13-21.
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