1999
DOI: 10.1037/h0089014
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Meeting performance-based training demands: Accountability in an intervention-based practicum.

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Cited by 20 publications
(29 citation statements)
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“…Based on literature reviews (Batsche et al, 2005;Fuchs, 2003;, many competencies were found that would increase the likelihood of RTI success for students and schools. Broadly, these include (a) collaboration and consultation; (b) elements of RTI, evidence-based prevention, instruction, and intervention; and (c) data-based decision making (including technical adequacy) (Barnett et al, 1999;Lentz, Allen, & Ehrhardt, 1996). Table 1 outlines RTI foundation coursework occurring prior to the field experience and coursework occurring at the same time, oriented to the next professional training experience.…”
Section: Designing Field Experiences In Rti School Support Trainingmentioning
confidence: 99%
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“…Based on literature reviews (Batsche et al, 2005;Fuchs, 2003;, many competencies were found that would increase the likelihood of RTI success for students and schools. Broadly, these include (a) collaboration and consultation; (b) elements of RTI, evidence-based prevention, instruction, and intervention; and (c) data-based decision making (including technical adequacy) (Barnett et al, 1999;Lentz, Allen, & Ehrhardt, 1996). Table 1 outlines RTI foundation coursework occurring prior to the field experience and coursework occurring at the same time, oriented to the next professional training experience.…”
Section: Designing Field Experiences In Rti School Support Trainingmentioning
confidence: 99%
“…Although some of these statistical methods would not be used for individual students or small data sets, their use is shown here because outcomes can be summarized across classrooms and grades for both school and university accountability (e.g., Barnett et al, 1999). These statistical methods included effect sizes (nonregression) calculated based on the means and standard deviations from the first (baseline) and last intervention phases and percentage of nonoverlapping data (PND), calculated by dividing the number of intervention phase data points above the highest baseline data point by the total number of intervention phase data points.…”
Section: Design and Data Analysismentioning
confidence: 99%
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