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Part II - Teacher- and System-Level Interventions

Published online by Cambridge University Press:  18 September 2020

Frank C. Worrell
Affiliation:
University of California, Berkeley
Tammy L. Hughes
Affiliation:
Duquesne University, Pittsburgh
Dante D. Dixson
Affiliation:
Michigan State University
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Publisher: Cambridge University Press
Print publication year: 2020

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References

Lane, K. L., Menzies, H. M., Bruhn, A. L., & Crnobori, M. (2011). Managing challenging behaviors in schools: Research-based strategies that work. New York, NY: Guilford Press.Google Scholar
Martella, R. C., Nelson, J. R., Marchand-Martella, N. E., & O’Reilly, M. (2012).Comprehensive behavior management: Individualized, classroom, and school-wide approaches (2nd ed.). Los Angeles, CA: Sage.CrossRefGoogle Scholar
Theodore, L. A. (Ed.). (2017). Handbook of evidence-based interventions for children and adolescents. New York, NY: Springer. www.springerpub.com/handbook-of-evidence-based-interventions-for-children-and-adolescents-9780826127945.htmlGoogle Scholar

References

Artiles, A. J., Harry, B., Reschly, D. J., & Chinn, P. C. (2002). Over-identification of students of color in special education: A critical overview. Multicultural Perspectives, 4, 310. https://doi.org/10.1207/S15327892MCP0401_2Google Scholar
Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1, 9197. https://doi.org/10.1901/jaba.1968.1-91Google Scholar
Barlow, S. (2007). Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: Summary report. Pediatrics, 120 Supplement 4, S164192. https://doi.org/10.1542/peds.2007-2329CGoogle Scholar
Brock, L. L., Nishida, T. K., Chiong, C., Grimm, K. J., & Rimm-Kaufman, S. E. (2008). Children’s perceptions of the classroom environment and social and academic performance: A longitudinal analysis of the contribution of the Responsive Classroom approach. Journal of School Psychology, 46, 129149. https://doi.org/10.1016/j.jsp.2007.02.004Google Scholar
Campbell, A., & Anderson, C. M. (2008). Enhancing effects of check-in/check-out with function-based support. Behavioral Disorders, 33, 233245. https://doi.org/10.1177/019874290803300404Google Scholar
Caplan, G. (1963). Types of mental health consultation. American Journal of Orthopsychiatry, 33, 470481. https://doi.org/10.1111/j.1939-0025.1963.tb00381.xGoogle Scholar
Chafouleas, S. M. (2011). Direct Behavior Rating: A review of the issues and research in its development. Education and Treatment of Children, 34, 575591. https://doi.org/10.1353/etc.2011.0034Google Scholar
Chafouleas, S. M., Kilgus, S. P., Riley-Tillman, T. C., Jaffery, R., & Harrison, S. (2012). Preliminary evaluation of various training components on accuracy of Direct Behavior Ratings. Journal of School Psychology, 50, 317334. https://doi.org/10.1016/j.jsp.2011.11.007Google Scholar
Chafouleas, S. M., Riley-Tillman, T. C., & Christ, T. J. (2009). Direct Behavior Rating (DBR): An emerging method for assessing social behavior within a tiered intervention system. Assessment for Effective Intervention, 34, 195200. https://doi.org/10.1177/1534508409340391CrossRefGoogle Scholar
Chafouleas, S. M., Riley-Tillman, T. C., Jaffery, R., Miller, F. G., & Harrison, S. E. (2015). Preliminary investigation of the impact of a web-based module on Direct Behavior Rating accuracy. School Mental Health, 7, 92104. https://doi.org/10.1007/s12310-014-9130-zGoogle Scholar
Chafouleas, S. M., Sanetti, L. M., Kilgus, S. P., & Maggin, D. M. (2012). Evaluating sensitivity to behavioral change using direct behavior rating single-item scales. Exceptional Children, 78, 491505. https://doi.org/10.1177/001440291207800406CrossRefGoogle Scholar
Costello, E. J., Egger, H., & Angold, A. (2005). 10-year research update review: The epidemiology of child and adolescent psychiatric disorders: I. Methods and public health burden. Journal of the American Academy of Child & Adolescent Psychiatry, 44, 972986. https://doi.org/10.1097/01.chi.0000172552.41596.6fGoogle Scholar
Cremin, L. (1970). American education: The colonial experience, 1607–1783. New York, NY: Harper & Row.Google Scholar
Darney, D., Reinke, W. M., Herman, K. C., Stormont, M., & Ialongo, N. S. (2013). Children with co-occurring academic and behavior problems in first grade: Distal outcomes in twelfth grade. Journal of School Psychology, 51, 117128. https://doi.org/10.1016/j.jsp.2012.09.005Google Scholar
Domitrovich, C. E., Bradshaw, C. P., Greenberg, M. T., et al. (2010). Integrated models of school‐based prevention: Logic and theory. Psychology in the Schools, 47, 7188.Google Scholar
Dowdy, E., Ritchey, K., & Kamphaus, R. W. (2010). School-based screening: A population-based approach to inform and monitor children’s mental health needs. School Mental Health, 2, 166176. https://doi.org/10.1007/s12310-010-9036-3Google Scholar
Drummond, T. (1994). The Student Risk Screening Scale (SRSS). Grants Pass, OR: Josephine County Mental Health Program.Google Scholar
Education for All Handicapped Children Act of 1975. (Pub. L. No. 94–142), 20 U.S.C. Chapter 33.Google Scholar
Embry, D. D. (2002). The Good Behavior Game: A best practice candidate as a universal behavioral vaccine. Clinical Child and Family Psychology Review, 5, 273297. https://doi.org/10.1023/A:1020977107086Google Scholar
Fletcher, J. M., & Vaughn, S. (2009). Response to intervention: Preventing and remediating academic difficulties. Child Development Perspectives, 3, 3037. https://doi.org/10.1111/j.1750-8606.2008.00072.xGoogle Scholar
Frieden, L. (2004, May). Improving educational outcomes for students with disabilities. Washington, DC: National Council on Disability. Retrieved from https://ncd.gov/rawmedia_repository/f4a8d429_aff8_4d8a_90bb_a178a4b23222.pdfGoogle Scholar
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, 157171. https://doi.org/10.1111/1540-5826.00072Google Scholar
Gerber, M. M. (2005). Teachers are still the test limitations of response to instruction strategies for identifying children with learning disabilities. Journal of Learning Disabilities, 38, 516524. https://doi.org/10.1177/00222194050380060701Google Scholar
Goodman, R. (1997). The strengths and difficulties questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581586. https://doi.org/10.1111/j.1469-7610.1997.tb01545.xCrossRefGoogle ScholarPubMed
Hawken, L. S., & Horner, R. H. (2003). Evaluation of a targeted intervention within a school wide system of behavior support. Journal of Behavioral Education, 12, 225240. https://doi.org/10.1023/A:1025512411930Google Scholar
Hawken, L. S., MacLeod, K. S., & Rawlings, L. (2007). Effects of the behavior education program (BEP) on office discipline referrals of elementary school students. Journal of Positive Behavior Interventions, 9, 94101. https://doi.org/10.1177/10983007070090020601Google Scholar
Horner, R. H. (2000). Positive behavior supports. Focus on Autism and Other Developmental Disabilities, 15, 97105. https://doi.org/10.1177/108835760001500205Google Scholar
Individuals with Disabilities Education Improvement Act of 2004 (IDEAA; Pub. L. No. 108–446), 20 U.S.C. 1400 et seq. (reauthorization of the Individuals with Disabilities Education Act [IDEA] of 1990).Google Scholar
Johnson, A. H., Miller, F. G., Chafouleas, S. M., et al. (2016). Evaluating the technical adequacy of DBR-SIS in tri-annual behavioral screening: A multisite investigation. Journal of School Psychology, 54, 3957. https://doi.org/10.1016/j.jsp.2015.10.001Google Scholar
Kamphaus, R. W., & Reynolds, C. R. (2015). Behavior Assessment System for Children (3rd ed.). Circle Pines, MN: Pearson.Google Scholar
Kratochwill, T. R., Albers, C. A., & Shernoff, E. S. (2004). School-based interventions. Child and Adolescent Psychiatric Clinics of North America, 13, 885903. https://doi.org/10.1016/j.chc.2004.05.003Google Scholar
Lewis, T. J., Barrett, S., Sugai, G., & Horner, R. H. (2010). Blueprint for school wide positive behavior support training and professional development. Eugene, OR: National Technical Assistance Center on Positive Behavior Interventions and Support.Google Scholar
March, R. E., & Horner, R. H. (2002). Feasibility and contributions of functional behavioral assessment in schools. Journal of Emotional and Behavioral Disorders, 10, 158170. https://doi.org/10.1177/10634266020100030401Google Scholar
Masia-Warner, C., Nangle, D. W., & Hansen, D. J. (2006). Bringing evidence-based child mental health services to the schools: General issues and specific populations. Education and Treatment of Children, 29, 165172.Google Scholar
Mastropieri, M. A., & Scruggs, T. E. (2005). Feasibility and consequences of response to intervention examination of the issues and scientific evidence as a model for the identification of individuals with learning disabilities. Journal of Learning Disabilities, 38, 525531. https://doi.org/10.1177/00222194050380060801Google Scholar
Maughan, B., & Kim-Cohen, J. (2005). Continuities between childhood and adult life. The British Journal of Psychiatry, 187, 301303. https://doi.org/10.1192/bjp.187.4.301Google Scholar
Merikangas, K. R., He, J. P., Burstein, M., et al. (2010). Lifetime prevalence of mental disorders in US adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 49, 980989. https://doi.org/10.1016/j.jaac.2010.05.017Google Scholar
Miller, F. G., Cohen, D., Chafouleas, S. M., et al. (2015). A comparison of measures to screen for social, emotional, and behavioral risk. School Psychology Quarterly, 30, 184196. https://doi.org/10.1037/spq0000085Google Scholar
Miller, F. G., Patwa, S. S., & Chafouleas, S. M. (2014). Using Direct Behavior Rating–Single item scales to assess student behavior within multi-tiered systems of support. Journal of Special Education Leadership, 27, 7685.Google Scholar
Mrazek, P. G., & Haggerty, R. J. (Eds.). (1994). Reducing risks for mental disorders: Frontiers for preventive intervention research. Washington, DC: National Academies Press.Google Scholar
National Association of State Directors of Special Education. (2006). Response to intervention: Policy considerations and implementation. Alexandria, VA: NASDSE.Google Scholar
Neil, A. L., & Christensen, H. (2009). Efficacy and effectiveness of school-based prevention and early intervention programs for anxiety. Clinical Psychology Review, 29, 208215. https://doi.org/10.1016/j.cpr.2009.01.002Google Scholar
No Child Left Behind Act. (2002). Act of 2001, Pub. L. No. 107–110, § 115. Stat, 1425, 107110.Google Scholar
Riley-Tillman, T. C., Chafouleas, S. M., Sassu, K. A., Chanese, J. A., & Glazer, A. D. (2008). Examining the agreement of direct behavior ratings and systematic direct observation data for on-task and disruptive behavior. Journal of Positive Behavior Interventions, 10, 136143. https://doi.org/10.1177/1098300707312542Google Scholar
Rimm-Kaufman, S. E., & Chiu, Y. J. I. (2007). Promoting social and academic competence in the classroom: An intervention study examining the contribution of the responsive classroom approach. Psychology in the Schools, 44, 397413. https://doi.org/10.1002/pits.20231Google Scholar
Rimm-Kaufman, S. E., Fan, X., Chiu, Y. J., & You, W. (2007). The contribution of the Responsive Classroom Approach on children’s academic achievement: Results from a three-year longitudinal study. Journal of School Psychology, 45, 401421. https://doi.org/10.1016/j.jsp.2006.10.003Google Scholar
Rimm-Kaufman, S. E., & Sawyer, B. E. (2004). Primary-grade teachers’ self-efficacy beliefs, attitudes toward teaching, and discipline and teaching practice priorities in relation to the responsive classroom approach. Elementary School Journal, 104, 321341. https://doi.org/10.1086/499756Google Scholar
Routh, D. K. (1996). Lightner Witmer and the first 100 years of clinical psychology. American Psychologist, 51, 244247. https://doi.org/10.1037/0003-066X.51.3.244Google Scholar
Section 504 of the Rehabilitation Act of 1973 Regulations, 34 C.F.R. § 104.1 et seq.Google Scholar
Severson, H. H., Walker, H. M., Hope-Doolittle, J., Kratochwill, T. R., & Gresham, F. M. (2007). Proactive, early screening to detect behaviorally at-risk students: Issues, approaches, emerging innovations, and professional practices. Journal of School Psychology, 45, 193223. https://doi.org/10.1016/j.jsp.2006.11.003Google Scholar
Simonsen, B., Fairbanks, S., Briesch, A., Myers, D., & Sugai, G. (2008). Evidence-based practices in classroom management: Considerations for research to practice. Education and Treatment of Children, 31, 351380. https://doi.org/10.1353/etc.0.0007Google Scholar
Smith, S. K. (1930). Child guidance clinics. Journal of the American Medical Association, 94, 710714. https://doi.org/10.1001/jama.1930.02710360034008Google Scholar
Snyder, T. D. (1993). 120 years of American education: A statistical portrait. Washington, DC: US Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics. Retrieved from http://nces.ed.gov/pubs93/93442.pdfGoogle Scholar
Theodore, L. A., Bray, M. A., & Kehle, T. J. (2004). A comparative study of group contingencies and randomized reinforcers to reduce disruptive classroom behaviors. School Psychology Quarterly, 19, 253271. https://doi.org/10.1521/scpq.19.3.253.40280Google Scholar
Theodore, L. A., Bray, M. A., Kehle, T. J., & DioGuardi, R. J. (2004). Contemporary review of group-oriented contingencies for disruptive behavior. Journal of Applied School Psychology, 20, 79101. https://doi.org/10.1300/J370v20n01_06Google Scholar
Tingstrom, D. H., Sterling-Turner, H. E., & Wilczynski, S. M. (2006). The good behavior game: 1969–2002. Behavior Modification, 30, 225253. https://doi.org/10.1177/0145445503261165Google Scholar
Todd, A. W., Campbell, A. L., Meyer, G. G., & Horner, R. H. (2008). The effects of a targeted intervention to reduce problem behaviors: Elementary school implementation of check in–check out. Journal of Positive Behavior Interventions, 10, 4655. https://doi.org/10.1177/1098300707311369Google Scholar
Urquhart, M. (1984, April). The employment shift to services: Where did it come from? The Monthly Labor Review, 107, 1522. Retrieved from https://stats.bls.gov/opub/mlr/1984/04/art2full.pdfGoogle Scholar
Vaughn, S., & Fuchs, L. S. (2003). Redefining learning disabilities as inadequate response to instruction: The promise and potential problems. Learning Disabilities Research & Practice, 18, 137146. https://doi.org/10.1111/1540-5826.00070Google Scholar
Vaughn, S., Linan-Thompson, S., & Hickman, P. (2003). Response to instruction as a means of identifying students with reading/learning disabilities. Exceptional Children, 69, 391409. https://doi.org/10.1177/001440290306900401Google Scholar
Walker, H. M., & Severson, H. H. (1992). Systematic screening for behavior disorders (SSBD). Longmont, CO: Sopris West.Google Scholar

References

Algozzine, R., Ysseldyke, J., & Elliott, J. (1997). Strategies and tactics for effective instruction (2nd ed.). Longmont, CO: Sopris West.Google Scholar
American Educational Research Association, American Psychology Association, & National Council for Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.Google Scholar
Ardoin, S. P., & Daly III, E. J. (2007). Introduction to the special series: Close encounters of the instructional kind – how the instructional hierarchy is shaping instructional research 30 years later. Journal of Behavioral Education, 16, 16. https://doi.org/10.1007/s10864-006-9027-5Google Scholar
Begeny, J. C., Mitchell, R. C., Whitehouse, M. H., Harris Samuels, F., & Stage, S. A. (2011). Effects of the HELPS reading fluency program when implemented by classroom teachers with low-performing second-grade students. Learning Disabilities Research & Practice, 26, 122133. https://doi.org/10.1111/j.1540-5826.2011.00332.xGoogle Scholar
Bloom, B. S., Hastings, J. T., & Madaus, G. F. (1971). Handbook on formative and summative evaluation of student learning. New York, NY: McGraw-Hill.Google Scholar
Burns, M. K. (2004). Empirical analysis of drill ratio research refining the instructional level for drill tasks. Remedial and Special Education, 25, 167173. https://doi.org/10.1177/07419325040250030401CrossRefGoogle Scholar
Burns, M. K. (2010). Formative evaluation in school psychology: Fully informing the instructional process. School Psychology Forum, 4, 2233. www.nasponline.org/publications/periodicals/spf/volume-4/volume-4-issue-1-(spring-2010)/formative-evaluation-in-school-psychology-fully-informing-the-instructional-processGoogle Scholar
Burns, M. K. (2011). School psychology research: Combining ecological theory and prevention science. School Psychology Review, 40, 132139. DOI:10.1080/02796015.2011.12087732Google Scholar
Burns, M. K., Codding, R. S., Boice, C. H., & Lukito, G. (2010). Meta-analysis of acquisition and fluency math interventions with instructional and frustration level skills: Evidence for a skill-by-treatment interaction. School Psychology Review, 39, 6983.Google Scholar
Burns, M. K., Scholin, S. E., Kosciolek, S., & Livingston, J. (2010). Reliability of decision-making frameworks for response to intervention for reading. Journal of Psychoeducational Assessment, 28, 102114. https://doi.org/10.1177/0734282909342374Google Scholar
Burns, M. K., & Senesac, B. V. (2005). Comparison of dual discrepancy criteria to assess response to intervention. Journal of School Psychology, 43, 393406. https://doi.org/10.1016/j.jsp.2005.09.003CrossRefGoogle Scholar
Burns, M. K., Silberglitt, B., Christ, T. J., Gibbons, K. A., & Coolong-Chaffin, M. (2016). Using oral reading fluency to evaluate response to intervention and to identify students not making sufficient progress. In Cummings, K. D. (Ed.), The fluency construct (pp. 123140). New York, NY: Springer. https://doi.org/10.1007/978-1-4939-2803-3_5Google Scholar
Burns, M. K., Zaslofsky, A. F., Kanive, R., & Parker, D. C. (2012). Meta-analysis of incremental rehearsal using phi coefficients to compare single-case and group designs. Journal of Behavioral Education, 21, 185202. https://doi.org/10.1007/s10864-012-9160-2Google Scholar
Christ, T. J. (2006). Short-term estimates of growth using curriculum-based measurement of oral reading fluency: Estimating standard error of the slope to construct confidence intervals. School Psychology Review, 35, 128133.Google Scholar
Deno, S. L. (1985). Curriculum-based measurement: The emerging alternative. Exceptional Children, 52, 219232. https://doi.org/10.1177/001440298505200303Google Scholar
Deno, S. L. (1986). Formative evaluation of individual student programs: A new role for school psychologists. School Psychology Review, 15, 358374.Google Scholar
Deno, S. L., Fuchs, L. S., Marston, D., & Shin, J. (2001). Using curriculum-based measurements to establish growth standards for students with learning disabilities. School Psychology Review, 30, 507524.Google Scholar
Deno, S. L., & Mirkin, P. K. (1977). Data-based program modification: A manual. Reston, VA: Council for Exception Children.Google Scholar
Flanagan, R., & Miller, J. A. (2010). Specialty competencies in school psychology. Oxford: Oxford University Press. https://doi.org/10.1093/med:psych/9780195386325.001.0001Google Scholar
Fuchs, L. S., & Deno, S. (1991). Paradigmatic distinctions between instructionally relevant measurement models. Exceptional Children, 57, 488500. https://doi.org/10.1177/001440299105700603Google Scholar
Fuchs, L. S., & Fuchs, D. (1986). Effects of systematic formative evaluation: A meta-analysis. Exceptional Children, 53, 199208. https://doi.org/10.1177/001440298605300301Google Scholar
Fuchs, L. S., & Fuchs, D. (1999). Monitoring student progress toward the development of reading competence: A review of three forms of classroom-based assessment. School Psychology Review, 28, 659671.Google Scholar
Fuchs, L. S., & Fuchs, D. (2001). What is scientifically-based research on progress monitoring? New York, NY: National Center on Student Progress Monitoring. Retrieved from https://eric.ed.gov/?id=ED502460Google Scholar
Fuchs, L. S., Fuchs, D., Hosp, M. K., & Hamlett, C. L. (2003). The potential for diagnostic analysis within curriculum-based measurement. Assessment for Effective Intervention, 28, 1322. https://doi.org/10.1177/073724770302800303Google Scholar
Fuchs, L. S., Fuchs, D., Hosp, M. K., & Jenkins, J. R. (2001). Oral reading fluency as an indicator of reading competence: A theoretical, empirical, and historical analysis. Scientific Studies of Reading, 5, 239256. https://doi.org/10.1207/S1532799XSSR0503_3Google Scholar
Haring, N. G., & Eaton, M. D. (1978). Systematic instructional technology: An instructional hierarchy. In Haring, N. G., Lovitt, T. C., Eaton, M. D., & Hansen, C. L. (Eds.), The fourth R: Research in the classroom. Columbus, OH: Merrill.Google Scholar
Hixson, M. D., Christ, T. J., & Bruni, T. (2014). Best practices in the analysis of progress monitoring data and decision making. In Harrison, P. L. & Thomas, A. (Eds.), Best practices in school psychology: Foundations (pp. 343354). Bethesda, MD: National Association of School Psychologists.Google Scholar
McGinty, A. S., Breit-Smith, A., Fan, X., Justice, L. M., & Kaderavek, J. N. (2011). Does intensity matter? Preschoolers’ print knowledge development within a classroom-based intervention. Early Childhood Research Quarterly, 26, 255267. https://doi.org/10.1016/j.ecresq.2011.02.002Google Scholar
PRESS Research Group. (2014). Path to reading excellence in school sites intervention manual. Minneapolis, MN: Minnesota Center for Reading Research.Google Scholar
Herman, K. C., Riley-Tillman, T. C., & Reinke, W. M. (2012). The role of assessment in a prevention science framework. School Psychology Review, 41, 306314.Google Scholar
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, 427469. https://doi.org/10.1016/j.jsp.2009.07.001Google Scholar
Riley-Tillman, T. C., & Burns, M. K. (2009). Evaluating educational interventions: Single-case design for measuring response to intervention. New York, NY: Guilford.Google Scholar
Salvia, J., Ysseldyke, J., & Witmer, S. (2012). Assessment: In special and inclusive education. Boston, MA: Cengage Learning.Google Scholar
Samuels, S. J. (1979). The method of repeated readings. The Reading Teacher, 32, 403408.Google Scholar
Shapiro, E. S. (2010). Academic skill problems: Direct assessment and intervention (4th ed.). New York, NY: Guilford.Google Scholar
Silberglitt, B., & Hintze, J. (2005). Formative assessment using CBM-R cut scores to track progress toward success on state-mandated achievement tests: A comparison of methods. Journal of Psychoeducational Assessment, 23, 304325. https://doi.org/10.1177/073428290502300402Google Scholar
Spearman, C. (1904). The proof and measurement of association between two things: American Journal of Psychology, 15, 72101. https://doi.org/10.2307/1412159Google Scholar
Speece, D. (2007). How progress monitoring assists decision making in a response-to-intervention framework. Washington, DC: National Center on Student Progress Monitoring. Available at https://tinyurl.com/snnxznrGoogle Scholar
Speece, D. L., Case, L. P., & Molloy, D. E. (2003). Responsiveness to general education instruction as the first gate to learning disabilities identification. Learning Disabilities Research & Practice, 18, 147156. https://doi.org/10.1111/1540-5826.00071Google Scholar
Stecker, P. M., & Fuchs, L. S. (2000). Effecting superior achievement using curriculum-based measurement: The importance of individual progress monitoring. Learning Disabilities Research & Practice, 15, 128134. www.tandfonline.com/doi/abs/10.1207/SLDRP1503_2Google Scholar
Szadokierski, I., & Burns, M. K. (2008). Analogue evaluation of the effects of opportunities to respond and ratios of known items within drill rehearsal of Esperanto words. Journal of School Psychology, 46, 593609. https://doi.org/10.1016/j.jsp.2008.06.004CrossRefGoogle ScholarPubMed
Traub, R. E. (1997). Classical test theory in historical perspective. Educational Measurement: Issues and Practice, 16, 814. https://doi.org/10.1111/j.1745-3992.1997.tb00603.xGoogle Scholar
Treptow, M. A., Burns, M. K., & McComas, J. J. (2007). Reading at the frustration, instructional, and independent levels: The effects on students’ reading comprehension and time on task. School Psychology Review, 36, 159166.Google Scholar
Tucker, J. A., & Burns, M. K. (2016). Helping students remember what they learn: An intervention for teachers and school psychologists. Communiqué, 44, 23.Google Scholar
Warren, S. F., Fey, M. E., & Yoder, P. J. (2007). Differential treatment intensity research: A missing link to creating optimally effective communication interventions. Mental Retardation and Developmental Disabilities Research Reviews, 13, 7077. https://doi.org/10.1002/mrdd.20139Google Scholar
Wayman, M. M., Wallace, T., Wiley, H. I., Tichá, R., & Espin, C. A. (2007). Literature synthesis on curriculum-based measurement in reading. The Journal of Special Education, 41, 85120. https://doi.org/10.1177/00224669070410020401Google Scholar
William, D. (2006). Formative assessment: Getting the focus right. Educational Assessment, 11, 283289. www.tandfonline.com/doi/abs/10.1080/10627197.2006.9652993Google Scholar
Zutell, J. (1998). Word sorting: A developmental spelling approach to word study for delayed readers. Reading & Writing Quarterly: Overcoming Learning Difficulties, 14, 219238. https://doi.org/10.1080/1057356980140205Google Scholar
Hagermoser Sanetti, L. M., Luiselli, J. K., & Handler, M. W. (2007). Effects of verbal and graphic performance feedback on behavior support plan implementation in a public elementary school. Behavior Modification, 31, 454465. https://doi.org/10.1177/0145445506297583Google Scholar
Reinke, W. M., Stormont, M., Herman, K.C., et al. (2014). Use of coaching and behavior support planning for students with disruptive behavior within a universal classroom management program. Journal of Emotional and Behavioral Disorders, 22, 7482. https://doi.org/10.1177/1063426613519820Google Scholar

References

Ardoin, S. P., Witt, J. C., Connell, J. E., & Koenig, J. L. (2005). Application of a three-tiered response to intervention model for instructional planning, decision making, and the identification of children in need of services. Journal of Psychoeducational Assessment, 23, 362380. https://doi.org/10.1177/073428290502300405Google Scholar
Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Bangert-Drowns, R. L., Kulik, C. L. C., Kulik, J. A., & Morgan, M. (1991). The instructional effect of feedback in test-like events. Review of Educational Research, 61, 213238. https://doi.org/10.3102/00346543061002213Google Scholar
Bergan, J. R. (1977). Behavioral consultation. Columbus, OH: Merrill.Google Scholar
Bergan, J. R., & Kratochwill, T. R. (1990). Behavioral consultation and therapy. New York, NY: Plenum.Google Scholar
Bollman, K. A., Silberglitt, B., & Gibbons, K. A. (2007). The St. Croix River education district model: Incorporating systems-level organization and a multi-tiered problem-solving process for intervention delivery. In Jimerson, S. R., Burns, M. K., & VanDerHeyden, A. M. (Eds.), Handbook of response to intervention: The science and practice of assessment and intervention (pp. 319330). New York, NY: Springer.Google Scholar
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by design and nature. Cambridge, MA: Harvard University Press.Google Scholar
Bronfenbrenner, U. (2005). Making human beings human: Bioecological perspectives on human development. Thousand Oaks, CA: Sage.Google Scholar
Brophy, J. (1981). Teacher praise: A functional analysis. Review of Educational Research, 51, 532. https://doi.org/10.3102/00346543051001005Google Scholar
Brophy, J. E. & Good, T. (1986). Teacher behavior and student achievement. In Wittrock, M. C. (Ed.), Handbook of research in teaching (3rd ed., pp. 328375). New York, NY: Macmillan.Google Scholar
Carroll, J. B. (1963). A model of school learning. Teachers College Record, 64, 723733.Google Scholar
Chien, N. C., Howes, C., Burchinal, M., et al. (2010). Children’s classroom engagement and school readiness gains in prekindergarten. Child Development, 81, 15341549. https://doi.org/10.1111/j.1467-8624.2010.01490.xGoogle Scholar
Connor, C. M. (2013). Commentary on two classroom observation systems: Moving toward a shared understanding of effective teaching. School Psychology Quarterly, 28, 342346. https://doi.org/10.1037/spq0000045Google Scholar
Connor, C. M., Morrison, F. J., & Petrella, J. N. (2004). Effective reading comprehension instruction: examining child X instruction interactions. Journal of Educational Psychology, 96, 682698. https://doi.org/10.1037/0022-0663.96.4.682Google Scholar
Crawford, A. D., Zucker, T. A., Williams, J. M., Bhavsar, V., & Landry, S. H. (2013). Initial validation of the prekindergarten Classroom Observation Tool and goal setting system for data-based coaching. School Psychology Quarterly, 28, 277300. https://doi.org/10.1037/spq0000033Google Scholar
Daly III, E. J., Lentz Jr, F. E., & Boyer, J. (1996). The Instructional Hierarchy: A conceptual model for understanding the effective components of reading interventions. School Psychology Quarterly, 11, 369386. https://doi.org/10.1037/h0088941Google Scholar
Desimone, L. M. (2009). Improving impact studies of teachers’ professional development: Toward better conceptualizations and measures. Educational Researcher, 38, 181200. https://doi.org/10.3102/0013189X08331140CrossRefGoogle Scholar
Desimone, L. M., Porter, A. C., Garet, M. S., Yoon, K. S., & Birman, B. F. (2002). Effects of professional development on teachers’ instruction: results from a three-year longitudinal study. Educational Evaluation and Policy Analysis, 24, 81112. https://doi.org/10.3102/01623737024002081Google Scholar
Doabler, C. T., Stoolmiller, M., Kennedy, P. C., et al. (2018). Do components of explicit instruction explain the differential effectiveness of a core mathematics program for kindergarten students with mathematics difficulties? A mediated moderation analysis. Assessment for Effective Intervention. Advance online publication. https://doi.org/10.1177/1534508418758364Google Scholar
Dudek, C. M., Reddy, L. A., & Lekwa, A. J. (2018). Measuring teacher practices to inform student achievement: A predictive validity study. Contemporary School Psychology. Advance online publication. 114. https://doi.org/10.1007/s40688-018-0196-8CrossRefGoogle Scholar
Every Student Succeeds Act of 2015 (ESSA), 20 U.S.C § 6311. et seq. (2015).Google Scholar
Fabiano, G. A., Reddy, L. A., & Dudek, C. M. (2018). Teacher coaching supported by formative assessment for improving classroom practices. School Psychology Quarterly, 33, 293304. https://doi.org/10.1037/spq0000223Google Scholar
Foorman, B. R., Francis, D. J., Fletcher, J. M., Schatschneider, C., & Mehta, P. (1998). The role of instruction in learning to read: Preventing reading failure in at-risk children. Journal of Educational Psychology, 90, 3755. https://doi.org/10.1037/0022-0663.90.1.37Google Scholar
Gable, R. A., Hester, P. H., Rock, M. L., & Hughes, K. G. (2009). Back to basics rules, praise, ignoring, and reprimands revisited. Intervention in School and Clinic, 44, 195205. https://doi.org/10.1177/1053451208328831Google Scholar
Glover, T., & Reddy, L. A. (2017). Instructional coaching practices: Promising models, empirical support, and considerations for practice. Theory into Practice, 56, 12. https://doi.org/10.1080/00405841.2016.1262156Google Scholar
Haring, N. G., Lovitt, T. C., Eaton, M. D., & Hansen, C. L. (1978). The 4th R: Research in the classroom. Columbus, OH: Charles E. Merrill.Google Scholar
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77, 81112. https://doi.org/10.3102/003465430298487Google Scholar
Individuals with Disabilities Education Act, 20 U.S.C. § 1400 (2004).Google Scholar
Justice, L. M., Mashburn, A. J., Hamre, B. K., & Pianta, R. C. (2008). Quality of language and literacy instruction in preschool classrooms serving at-risk pupils. Early Childhood Research Quarterly, 23, 5168. https://doi.org/10.1016/j.ecresq.2007.09.004Google Scholar
Kamins, M. L., & Dweck, C. S. (1999). Person versus process praise and criticism: Implications for contingent self-worth and coping. Developmental Psychology, 35, 835847. https://doi.org/10.1037/0012-1649.35.3.835Google Scholar
Kern, L., & Clemens, N. H. (2007). Antecedent strategies to promote appropriate classroom behavior. Psychology in the Schools, 44, 6575. https://doi.org/10.1002/pits.20206Google Scholar
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254284. https://doi.org/10.1037/0033-2909.119.2.254Google Scholar
Kraft, M. A., Blazar, D., & Hogan, D. (2018). The effect of teacher coaching on instruction and achievement: A meta-analysis of the causal evidence. Review of Educational Research, 88, 547588. https://doi.org/10.3102/0034654318759268Google Scholar
Kretlow, A. G., & Bartholomew, C. C. (2010). Using coaching to improve the fidelity of evidence-based practices: a review of studies. Teacher Education and Special Education, 33, 279299. https://doi.org/10.1177/0888406410371643Google Scholar
Knowles, M. S. (1984). Andragogy in action. Applying modern principles of adult education. San Francisco, CA: Jossey-Bass.Google Scholar
Lekwa, A. J., Reddy, L. A., Dudek, C. M., & Hua, A. N. (2018). Assessment of teaching to predict gains in student achievement in urban schools. School Psychology Quarterly. Advance online publication. https://doi.org/10.1037/spq0000293Google Scholar
Lekwa, A. J., Reddy, L. A., Lefkowitz, R. L., et al. (2017, February). Practically and reliably measuring change in teaching practices. Paper presented at the annual meeting of the National Association of School Psychologists, San Antonio, TX.Google Scholar
Lekwa, A. J., Reddy, L. A., & Shernoff, E. S. (2017). Advancing coaching with teacher formative assessment and input. In Lawrence, S. A. (Ed.), Literacy program development and evaluation initiatives for P–12 teaching (pp. 4875). Hershey, PA: IGI Global. https://doi.org/10.4018/978-1-5225-0669-0.ch003Google Scholar
Lekwa, A. J., Reddy, L. A., & Shernoff, E. S. (2019). Measuring teacher practices and student academic engagement: A convergent validity study. School Psychology, 34, 109118. http://dx.doi.org/10.1037/spq0000268Google Scholar
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57, 705717. https://doi.org/10.1037/0003-066X.57.9.705Google Scholar
MacSuga-Gage, A. S., & Simonsen, B. (2015). Examining the effects of teacher-directed opportunities to respond on student outcomes: A systematic review of the literature. Education and Treatment of Children, 38, 211239. https://doi.org/10.1353/etc.2015.0009Google Scholar
Matheson, A. S., & Shriver, M. D. (2005). Training teachers to give effective commands: Effects on student compliance and academic behaviors. School Psychology Review, 34, 202219.Google Scholar
Mayer, D. P. (1999). Measuring instructional practice: Can policymakers trust survey data? Educational Evaluation and Policy Analysis, 21, 2945. https://doi.org/10.3102/01623737021001029Google Scholar
McLean, L., Sparapani, N., Toste, J. R., & McDonald-Connor, C. (2016). Classroom quality as a predictor of first graders’ time in non-instructional activities and literacy achievement. Journal of School Psychology, 56, 4558. https://doi.org/10.1016/j.jsp.2016.03.004Google Scholar
Partin, T. C. M., Robertson, R. E., Maggin, D. M., Oliver, R. M., & Wehby, J. H. (2009). Using teacher praise and opportunities to respond to promote appropriate student behavior. Preventing School Failure: Alternative Education for Children and Youth, 54, 172178. https://doi.org/10.1080/10459880903493179Google Scholar
Pianta, R. C., & Hamre, B. K. (2009). Conceptualization, measurement, and improvement of classroom processes: Standardized observation can leverage capacity. Educational Researcher, 38, 109119. https://doi.org/10.3102/0013189X09332374Google Scholar
Pianta, R. C., La Paro, K. M., Payne, C., Cox, M. J., & Bradley, R. (2002). The relation of kindergarten classroom environment to teacher, family, and school characteristics and child outcomes. The Elementary School Journal, 102, 225238. https://doi.org/10.1086/499701Google Scholar
Reddy, L. A., & Dudek, C. (2014). Teacher progress monitoring of instructional and behavioral management practices: An evidence-based approach to improving classroom practices. International Journal of School & Educational Psychology, 2, 7184. https://doi.org/10.1080/21683603.2013.876951Google Scholar
Reddy, L.A., Dudek, C. M., Fabiano, G., & Peters, S. (2015). Measuring teacher self-report on classroom practices: Construct validity and reliability of the Classroom Strategies Scale – Teacher Form. School Psychology Quarterly, 30, 513533. https://doi.org/10.1037/spq0000110Google Scholar
Reddy, L. A., Dudek, C. M., & Lekwa, A. L. (2017). Classroom strategies coaching model: Integration of formative assessment and instructional coaching. Theory into Practice, 56, 4655. https://doi.org/10.1080/00405841.2016.1241944Google Scholar
Reddy, L. A., Dudek, C. M., & Shernoff, E. S. (2016). Teacher formative assessment: The missing link in response to intervention. In Jimerson, S. R., Burns, M. K., & VanDerHeyden, A. M. (Eds.), Handbook of response to intervention: The science and practice of multi-tiered systems of support (2nd ed., pp. 607623). New York, NY: Springer.Google Scholar
Reddy, L., Fabiano, G., Barbarasch, B., & Dudek, C.M. (2012). Understanding and managing behaviors of children diagnosed with Attention-Deficit/Hyperactivity Disorder. In Kolbert, J. B. & Crothers, L. M. (Eds.), Understanding and managing behaviors of children with psychological disorders: A reference for classroom teachers (pp. 1747). New York, NY: Bloomsbury Publishing.Google Scholar
Reddy, L. A., Fabiano, G., Dudek, C., & Hsu, L. (2013a). Development and construct validation of the Classroom Strategies Scale-Observer Form. School Psychology Quarterly, 28, 317341. https://doi.org/10.1037/spq0000043Google Scholar
Reddy, L. A., Fabiano, G., Dudek, C., & Hsu, L. (2013b). Predictive validity of the Classroom Strategies Scale-Observer Form on statewide testing. School Psychology Quarterly, 28, 301316. https://doi.org/10.1037/spq0000041Google Scholar
Reddy, L. A., Fabiano, G. A., Dudek, C. M., & Hsu, L. (2013c). Instructional and behavior management practices implemented by elementary general education teachers. Journal of School Psychology, 51, 683700. https://doi.org/10.1016/j.jsp.2013.10.001Google Scholar
Reddy, L. A., Fabiano, G., & Jimerson, S. (2013). Assessment of general education teachers’ tier 1 classroom practices: Contemporary science, practice and policy. School Psychology Quarterly, 28, 273276. https://doi.org/10.1037/spq0000047Google Scholar
Reddy, L. A., Shernoff, E. Lekwa, A. J., et al. (2019). Classroom Strategies Coaching for teachers in urban high poverty elementary schools: A case study. School Psychology, 34, 1421. http://dx.doi.org/10.1037/spq0000302Google Scholar
Reschly, D. J., & Ysseldyke, J. E. (2002). Paradigm shift: The past is not the future. In Thomas, A. & Grimes, J. (Eds.) Best practices in school psychology IV (pp. 320). Bethesda, MD: NASP Publications.Google Scholar
Roberts, M. W., McMahon, R. J., Forehand, R., & Humphreys, L. (1978). The effect of parental instruction-giving on child compliance. Behavior Therapy, 9, 793798. https://doi.org/10.1016/S0005-7894(78)80009-4CrossRefGoogle Scholar
Rosenshine, B. & Stevens, R. (1986). Teaching functions. In Wittrock, M. C. (Ed.), Handbook of research on teaching (3rd ed., pp. 376391). New York, NY: Macmillan.Google Scholar
Saunders, W. M., Goldenberg, C. N., & Gallimore, R. (2009). Increasing achievement by focusing grade-level teams on improving classroom learning: A prospective, quasi-experimental study of Title I schools. American Educational Research Journal, 46, 10061033. https://doi.org/10.3102/0002831209333185Google Scholar
Solomon, B. G., Klein, S. A., & Politylo, B. C. (2012). The effect of performance feedback on teachers’ treatment integrity: A meta-analysis of the single-case literature. School Psychology Review, 41, 160175.Google Scholar
Stichter, J. P., Lewis, T. J., Whittaker, T., et al. (2009). Assessing teacher use of opportunities to respond and effective classroom management strategies within inclusive classrooms: Comparisons among high and low risk elementary schools. Journal of Positive Behavior Interventions, 11, 6881. https://doi.org/10.1177/1098300708326597Google Scholar
Sutherland, K. S., Alder, N., & Gunter, P. L. (2003). The effect of varying rates of opportunities to respond to academic requests on the classroom behavior of students with EBD. Journal of Emotional and Behavioral Disorders, 11, 239248. https://doi.org/10.1177/10634266030110040501Google Scholar
Tomlinson, C. A., & Edison, C. C. (2003). Differentiation in practice: A resource guide for differentiating instruction. Alexandria, VA: Association for Supervision and Curriculum Development.Google Scholar
VanDerHeyden, A. M., Witt, J. C., & Gilbertson, D. (2007). A multi-year investigation of a Response to Intervention (RTI) model on identification of children for special education. Journal of School Psychology, 45, 225256. https://doi.org/10.1016/j.jsp.2006.11.004Google Scholar
Wang, M. C., Haertal, G. D., & Walberg, H. J. (1993). Toward a knowledge base for school learning. Review of Educational Research, 63, 249294. https://doi.org/10.3102/00346543063003249Google Scholar
White, M. A. (1975). Natural rates of teacher approval and disapproval in the classroom. Journal of Applied Behavior Analysis, 8, 367372. https://doi.org/10.1901/jaba.1975.8-367Google Scholar
Wenglinsky, H. (2002). How schools matter: The link between teacher classroom practices and student academic performance. Education Policy Analysis Archives, 10. Retrieved from http://epaa.asu.edu/ojs/article/view/291Google Scholar

References

Anderson, S., Medrich, E., & Fowler, D. (2007). Which achievement gap? Phi Delta Kappan, 88, 547550. https://doi.org/10.1177/003172170708800716Google Scholar
Blanchett, W. J., Mumford, V., & Beachum, F. (2005). Urban school failure and disproportionality in a post-Brown era: Benign neglect of the constitutional rights of students of color. Remedial and Special Education, 26, 7081. https://doi.org/10.1177/07419325050260020201Google Scholar
Carter, P. L., & Welner, K. G. (2013). Closing the opportunity gap: What America must do to give every child an even chance. New York, NY: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199982981.001.0001Google Scholar
Felitti, V. J., Anda, R. F., Nordenberg, D., et al. (1998). Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: The Adverse Childhood Experiences (ACE) Study. American Journal of Preventive Medicine, 14, 245258. https://doi.org/10.1016/S0749-3797(98)00017-8Google Scholar
Fenning, P., & Rose, J. (2007). Overrepresentation of African American students in exclusionary discipline the role of school policy. Urban Education, 42, 536559. https://doi.org/10.1177/0042085907305039Google Scholar
Guyatt, G. H. (1991). Evidence-based medicine. American College of Physicians Journal Club, 114, A16A16. Retrieved from www.acpjc.org/Content/114/2/issue/ACPJC-1991-114-2-A16.htmGoogle Scholar
Kozol, J. (2012). Savage inequalities: Children in Americas schools. New York, NY: Broadway Books.Google Scholar
Noguera, P. A., & Wing, J. Y. (2006). Unfinished business: Closing the racial achievement gap in our schools. San Francisco, CA: Jossey-Bass.Google Scholar
Orenstein, N. (2018, September 28). 10 years later, progress made on 2020 Vision goals, but big gaps remain, Berkeleyside. Retrieved from www.berkeleyside.com/2018/09/28/10-years-later-progress-made-on-2020-vision-goals-but-big-gaps-remainGoogle Scholar
Solorzano, D. G. (1997). Images and words that wound: Critical race theory, racial stereotyping, and teacher education. Teacher Education Quarterly, 24(3), 519.Google Scholar
Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African-Americans. Journal of Personality and Social Psychology, 69, 797811. https://doi.org/10.1037/0022-3514.69.5.797Google Scholar
Stevens, D. (2015a, April). Building and utilizing an academic support index. Paper presented at the annual meeting of the American Educational Research Association Conference, Chicago, IL.Google Scholar
Stevens, D. (2015b, December). Boosting test performance for at-risk students. Paper presented at the annual meeting of the California Educational Research Association Conference, Anaheim, CA.Google Scholar
Stevens, D. (2015c, December). Identifying students for transition support. Paper presented at the annual meeting of the California Educational Research Association Conference, Anaheim, CA.Google Scholar
Stevens, D. (2016, December). A comparison of the local control funding formula and the academic support index in predicting academically underperforming students. Paper presented at the annual meeting of the California Educational Research Association Conference, Sacramento, CA.Google Scholar
Stevens, D. (2018, November). Interrupting the impact of stereotype threat in testing environments using the Academic Support Index to create academically homogeneous testing groups. Paper presented at the annual meeting of the California Educational Research Association Conference, Anaheim, CA.Google Scholar
Sue, D. W., Capodilupo, C. M., Torino, G. C., et al. (2007). Racial microaggressions in everyday life: Implications for clinical practice. American Psychologist, 62, 271286. https://doi.org/10.1037/0003-066X.62.4.271Google Scholar
Wood, D., Kaplan, R., & McLoyd, V. C. (2007). Gender differences in the educational expectations of urban, low-income African American youth: The role of parents and the school. Journal of Youth and Adolescence, 36, 417427. https://doi.org/10.1007/s10964-007-9186-2 Google Scholar

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