Abstract
Within multi-tiered systems of support (MTSS), screening assessments play an important role in identifying students who are in need of supplemental support strategies. In this chapter, the authors review the tools and methods commonly used in MTSS for academic skills screening, identify limitations with these practices, and highlight potential areas of improvement regarding assessment methods and content of screening tools, decision-making processes used to identify students in need of support, and methods used for evaluating screening tools. A set of recommendations and directions for future work are offered for advancing screening assessment and improving decision-making processes in schools with MTSS.
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Notes
- 1.
The p value indicates the statistical significance of that predictor in the model for predicting the subsequent first-grade reading outcome (40 words per minute), and the odds ratio indicates the percentage change in likelihood of the subsequent outcome given every point increase in the predictor (e.g., the odds ratio of 1.15 for LSF means that every 1 point increase in LSF equals an increase of 15 % probability of meeting the first grade criterion). The log likelihood value (expressed as −2LL; log likelihood is multiplied by −2 to derive a value equivalent to a chi square distribution) can be used to evaluate model fit and compare models. Smaller −2LL values indicate better-fitting models.
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Clemens, N., Keller-Margulis, M., Scholten, T., Yoon, M. (2016). Screening Assessment Within a Multi-Tiered System of Support: Current Practices, Advances, and Next Steps. In: Jimerson, S., Burns, M., VanDerHeyden, A. (eds) Handbook of Response to Intervention. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7568-3_12
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