Exploring Factors Associated with District Approaches to Identifying and Supporting Student Social, Emotional, and Behavioral Needs

References

• Auerbach, E. R., Chafouleas, S. M., Briesch, A. M., & Long, S. J. (2020). Exploring the alignment of behavior screening policies and practices in U.S. public school districts. Journal of School Health, 90(4), 264–270. https://doi.org/10.1111/josh.12872
   PubMed Web of Science ®Google Scholar
• Auerbach, A., Chafouleas, S. M., & Briesch, A. M. (2019). State-level guidance on school-based screening for social, emotional, and behavioral risk: A follow-up study. School Mental Health, 11, 141–149. https://doi.org/10.1007/s12310-018-9278-z
   Web of Science ®Google Scholar
• Bali, V. A., & Alvarez, R. M. (2004). The race gap in student achievement scores: Longitudinal evidence from a racially diverse school district. Policy Studies Journal, 32(3), 393–415. https://doi.org/10.1111/j.1541-0072.2004.00072.x
   Web of Science ®Google Scholar
• Bohrnstedt, G., Kitmitto, S., Ogut, B., Sherman, D., & Chan, D. (2015). School composition and the black-white achievement gap. NCES 2015-018. National Center for Education Statistics.
   Google Scholar
• Brann, K. L., Daniels, B., Chafouleas, S. M., & DiOrio, C. A. (2022). Usability of social, emotional, and behavioral assessments in schools: A systematic review from 2009 to 2019. School Psychology Review, 51, 6–24. https://doi.org/10.1080/2372966X.2020.1836518
   Web of Science ®Google Scholar
• Briesch, A. M., Chafouleas, S. M., & Chaffee, R. K. (2018). Analysis of State-level guidance regarding school-based, universal screening for social, emotional, and behavioral risk. School Mental Health, 10(2), 147–162. https://doi.org/10.1007/s12310-017-9232-5
   Web of Science ®Google Scholar
• Briesch, A. M., Chafouleas, S. M., Cintron, D. W., & McCoach, D. B. (2020). Factorial invariance of the usage rating profile for supporting students’ behavioral needs (URP-NEEDS). School Psychology, 35(1), 51–60. https://doi.org/10.1037/spq0000309
   Google Scholar
• Bruhn, A. L., Woods-Groves, S., & Huddle, S. (2014). A preliminary investigation of emotional and behavioral screening practices in K–12 schools. Education and Treatment of Children, 37(4), 611–634. https://doi.org/10.1353/etc.2014.0039
   Web of Science ®Google Scholar
• Bruns, E. J., Parker, E. M., Hensley, S., Pullmann, M. D., Benjamin, P. H., Lyon, A. R., & Hoagwood, K. E. (2019). The role of the outer setting in implementation: Associations between state demographic, fiscal, and policy factors and use of evidence-based treatments in mental healthcare. Implementation Science, 14(1), 96–109. https://doi.org/10.1186/s13012-019-0944-9
   PubMed Web of Science ®Google Scholar
• Chafouleas, S. M., & Iovino, E. A. (2021). Engaging a whole child, school, and community lens in positive education to advance equity in schools. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.758788
   Web of Science ®Google Scholar
• Chafouleas, S. M., Briesch, A. M., Lane, K. L., & Oakes, W. P. (2022). Improving educators’ use of data-driven problem-solving to reduce disciplinary infractions for students with emotional disturbance. In P. Fenning & M. Johnson (Eds.), Discipline disparities among students with disabilities. Creating equitable environments Teachers College Press.
   Google Scholar
• Chafouleas, S. M., Briesch, A. M., McCoach, D. B., & Dineen, J. N. (2018). Usage rating profile – Needs. University of Connecticut. https://urp.uconn.edu/forms
   Google 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(4), 195–200. https://doi.org/10.1177/1534508409340391
   Google Scholar
• Chang, M. L. (2009). An appraisal perspective of teacher burnout: Examining the emotional work of teachers. Educational Psychology Review, 21(3), 193–218. https://doi.org/10.1007/s10648-009-9106-y
   Web of Science ®Google Scholar
• Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5
   Web of Science ®Google Scholar
• Coffey, J. H., & Horner, R. H. (2012). The sustainability of schoolwide positive behavior interventions and supports. Exceptional Children, 78(4), 407–422. https://doi.org/10.1177/001440291207800402
   Web of Science ®Google Scholar
• Dineen, J. N., Chafouleas, S. M., Briesch, A. M., McCoach, D. B., Newton, S. D., & Cintron, D. W. (2021). Exploring social, emotional, and behavioral screening approaches in U.S. public school districts. American Education Research Journal. https://doi.org/10.3102/00028312211000043
   PubMed Web of Science ®Google Scholar
• Domina, T., Pharris-Ciurej, N., Penner, A. M., Penner, E. K., Brummet, Q., Porter, S. R., & Sanabria, T. (2018). Is free and reduced-price lunch a valid measure of educational disadvantage? Educational Researcher, 47(9), 539–555. https://doi.org/10.3102/0013189X18797609
   Web of Science ®Google Scholar
• Flannery, K. B., Hershfeldt, P., & Freeman, J. (2018). Lessons learned on implementation of PBIS in high schools: Current trends and future directions. In Center for positive behavioral interventions and supports (funded by the office of special education programs, U.S. department of education). University of Oregon Press.
   Google Scholar
• Gregory, A., Skiba, R. J., & Noguera, P. A. (2010). The achievement gap and the discipline gap: Two sides of the same coin? Educational Researcher, 39(1), 59–68. https://doi.org/10.3102/0013189X09357621
   Web of Science ®Google Scholar
• Heilbrun, A., Cornell, D., & Lovegrove, P. (2015). Principal attitudes regarding zero tolerance and racial disparities in school suspensions. Psychology in the Schools, 52(5), 489–499. https://doi.org/10.1002/pits.21838
   Web of Science ®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(3), 306. https://doi.org/10.1080/02796015.2012.12087511
   PubMed Web of Science ®Google Scholar
• Horner, R. H., Sugai, G., Smolkowski, K., Eber, L., Nakasato, J., Todd, A. W., & Esperanza, J. (2009). A randomized, wait-list controlled effectiveness trial assessing school-wide positive behavior support in elementary schools. Journal of Positive Behavior Interventions, 11(3), 133–144. https://doi.org/10.1177/1098300709332067
   Web of Science ®Google Scholar
• Hu, L., & Bentler, M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• International Organization for Standardization. (2018). Ergonomics of human-system interaction — Part 11: Usability: Definitions and concepts ( ISO 9241-11:2018). Author. https://www.iso.org/standard/63500.html
   Google Scholar
• Jöreskog, K. G. (1970). A general method for estimating a linear structural equation system. ETS Research Bulletin Series, 1970, (2), i–41. https://doi.org/10.1002/j.2333-8504.1970.tb00783.x
   Google Scholar
• Kim, E. K., Anthony, C. J., & Chafouleas, S. M. (2021). Social, emotional, and behavioral assessment within tiered decision-making frameworks: Advancing research through reflections on the past decade. School Psychology Review, 51(1), 1–5. https://doi.org/10.1080/2372966X.2021.1907221
   Web of Science ®Google Scholar
• Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
   Google Scholar
• Lacour, M., & Tissington, L. D. (2011). The effects of poverty on academic achievement. Educational Research and Reviews, 6(7), 522–527. https://academicjournals.org/article/article1379765941_Lacour%20and%20Tissington.pdf
   Google Scholar
• Lee, J., & Wong, K. K. (2004). The impact of accountability on racial and socioeconomic equity: Considering both school resources and achievement outcomes. American Educational Research Journal, 41(4), 797–832. https://doi.org/10.3102/00028312041004797
   Web of Science ®Google Scholar
• Leithwood, K., Seashore Louis, K., Anderson, S., & Wahlstrom, K. (2004). Review of research: How leadership influences student learning. The Wallace Foundation. https://www.wallacefoundation.org/knowledge-center/Documents/How-Leadership-Influences-Student-Learning.pdf
   Google Scholar
• Lewis, C. C. (2017). What are implementation mechanisms and why do they matter? Plenary presentation at the 2017 conference of the Society for Implementation Research Collaboration (SIRC), Seattle, WA.
   Google Scholar
• Liewbowitz, D. D., & Porter, L. (2019). The effect of principal behavioral on student, teacher, and school outcomes: A systematic review and meta-analysis of the empirical literature. Review of Educational Research, 89(5), 785–827. https://doi.org/10.3102/0034654319866133
   Web of Science ®Google Scholar
• Lyon, A. R., & Bruns. (2019). From evidence to impact: Joining our best school mental health practices with our best implementation strategies. School Mental Health, 11(1), 106–114. https://doi.org/10.1007/s12310-018-09306-w
   PubMed Web of Science ®Google Scholar
• Marcy, H. M., Dineen, J. N., McCoach, D. B., Chafouleas, S. M., & Briesch, A. M. (2018, December). The NEEDs2 project: Project methodology. www.needs2.education.uconn.edu
   Google Scholar
• McIntosh, K., Predy, L. K., Upreti, G., Hume, A. E., Turri, M. G., & Mathews, S. (2014). Perceptions of contextual features related to implementation and sustainability of school-wide positive behavior support. Journal of Positive Behavior Interventions, 16(1), 31–43. https://doi.org/10.1177/1098300712470723
   Web of Science ®Google Scholar
• Miller, F. G., Neugebauer, S. R., Chafouleas, S. M., Briesch, A. M., & Riley-Tillman, T. C. (2013). Examining innovation usage: Construct validation of the usage rating profile-assessment. Poster presented at the meeting of the American Psychological Association, Honolulu, Hawaii.
   Google Scholar
• Moullin, J. C., Dickson, K. S., Stadnick, N. A., Rabin, B., & Aarons, G. A. (2019). Systematic review of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. Implementation Science, 14(1). https://doi.org/10.1186/s13012-018-0842-6
   PubMedGoogle Scholar
• Mukuria, G. (2002). Disciplinary challenges: How do principals address this dilemma? Urban Education, 37(3), 432–452. https://doi.org/10.1177/00485902037003007
   Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (2010). Re: Deviance information criterion. (Online comment). http://www.statmodel.com/discussion/messages/9/6184.html?1551114746
   Google Scholar
• National Academies of Sciences, Engineering, and Medicine. (2019). Fostering healthy mental, emotional, and behavioral development in children and youth: A national agenda. The National Academies Press. https://doi.org/10.17226/25201
   Google Scholar
• Neugebauer, S. R., Chafouleas, S. M., Coyne, M. D., McCoach, D. B., & Briesch, A. M. (2016). Exploring an ecological model of perceived usability within a multi-tiered vocabulary intervention. Assessment for Effective Intervention, 1–17. https://doi.org/10.1177/1534508415619732
   Google Scholar
• Noltemeyer, A. L., Ward, R. M., Mcloughlin, C., & Vanderwood, M. (2015). Relationship between school suspension and student outcomes: A meta-analysis. School Psychology Review, 44(2), 224–240. https://doi.org/10.17105/spr-14-0008.1
   Web of Science ®Google Scholar
• Praisner, C. L. (2003). Attitudes of elementary school principals toward the inclusion of students with disabilities. Exceptional Children, 69(2), 135–145. https://doi.org/10.1177/001440290306900201
   Web of Science ®Google Scholar
• Raver, C. C., Gershoff, E. T., & Aber, J. L. (2007). Testing equivalence of mediating models of income, parenting, and school readiness for White, Black, and Hispanic children in a national sample. Child Development, 78(1), 96–115. https://doi.org/10.1111/j.1467-8624.2007.00987.x
   PubMed Web of Science ®Google Scholar
• Reardon, S. F., Ho, A. D., Shear, B. R., Fahle, E. M., Kalogrides, D., & DiSalvo, R. (2018). Stanford education data archive (Version 2.1). https://exhibits.stanford.edu/data/catalog/db586ns4974
   Google Scholar
• Robinson, V. M., Lloyd, C. A., & Rowe, K. J. (2008). The impact of leadership on student outcomes: An analysis of the differential effects of leadership types. Educational Administration Quarterly, 44(5), 635–674. https://doi.org/10.1177/0013161X08321509
   Web of Science ®Google Scholar
• Romer, D., & McIntosh, M. (2005). The roles and perspectives of school mental health professionals in promoting adolescent mental health. In D. Evans, E. Foa, R. Gur, H. Hendin, C. O’Brien, M. Seligman, & B. Walsh (Eds.), Treating and preventing adolescent mental health disorders: What we know and what we don’t know (pp. 598–615). Oxford University Press, Inc.
   Google Scholar
• Skiba, R. J., Michael, R. S., Nardo, A. C., & Peterson, R. L. (2002). The color of discipline: Sources of racial and gender disproportionality in school punishment. The Urban Review, 34(4), 317–342. https://doi.org/10.1023/A:1021320817372
   Google Scholar
• Skiba, R. J., Chung, C., Trachok, M., Baker, T. L., Sheya, A., & Hughes, R. L. (2014). Parsing disciplinary disproportionality: Contributions of infraction, student, and school characteristics to out-of-school suspension and expulsion. American Education Research Journal, 51(4), 640–670. https://doi.org/10.3102/0002831214541670
   Web of Science ®Google Scholar
• Skiba, R. J., Chung, C., Trachok, M., Baker, T., Sheya, A., & Hughes, R. (2015). Where should we intervene? Contributions of behavior, student, and school characteristics to out-of-school suspension. In D. Losen (Ed.), Closing the school discipline gap: Equitable remedies for excessive exclusion (pp. 132–146). Teachers College Press.
   Google Scholar
• United States Department of Education. Nationale Center on Education Statistics. EDFacts Data Documentation: Four-Year Adjusted-Cohort Graduation Rates - School Year 2015-16. EDFacts. http://www.ed.gov/edfacts
   Google Scholar
• United States Department of Education. Office for Civil Rights. Civil Rights Data Collection (CRDC) for the 2015-16 school year. Inter-university Consortium for Political and Social Research [distributor], 2018-05-04. https://doi.org/10.3886/E103004V1
   Google Scholar
• Vanneman, A., Hamilton, L., Anderson, J. B., & Rahman, T. (2009). Achievement gaps: How black and white students in public schools perform in mathematics and reading on the national assessment of educational progress. Statistical Analysis Report. NCES 2009-455. National Center for Education Statistics.
   Google Scholar
• Villa, R. A., Thousand, J. S., Meyers, H., & Nevin, A. (1996). Teacher and administrator perceptions of heterogeneous education. Exceptional Children, 63(1), 29–45. https://doi.org/10.1177/001440299606300103
   Web of Science ®Google Scholar
• Wagner, M., & Newman, L. (2012). Longitudinal transition outcomes of youth with emotional disturbances. Psychiatric Rehabilitation Journal, 35(3), 199. https://doi.org/10.2975/35.3.2012.199.208
   PubMed Web of Science ®Google Scholar
• Walker, H. M., Severson, H. H., Nicholson, F., Kehle, T., Jenson, W. R., & Clark, E. (1994). Replication of the systematic screening for behavior disorders (SSBD) Procedure for the identification of at-risk children. Journal of Emotional and Behavioral Disorders, 2(2), 66–77. https://doi.org/10.1177/106342669400200201
   Web of Science ®Google Scholar
• Waters, T., Marzano, R. J., & McNulty, B. (2003). Balanced leadership: What 30 years of research tells us about the effect of leadership on student achievement. A Working Paper.
   Google Scholar