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Osler, James Edward – Journal of Educational Technology, 2013
This paper discusses the implementation of the Tri-Squared Test as an advanced statistical measure used to verify and validate the research outcomes of Educational Technology software. A mathematical and epistemological rational is provided for the transformative process of qualitative data into quantitative outcomes through the Tri-Squared Test…
Descriptors: Educational Technology, Educational Assessment, Statistical Analysis, Outcome Measures
Schilder, D. – Center on Enhancing Early Learning Outcomes, 2013
In this "Fast Facts," a state has received Race to the Top Early Learning Challenge funds and is seeking information to inform the design of the Quality Rating and Improvement System (QRIS) validation study. The Center on Enhancing Early Learning Outcomes (CEELO) responds that according to Resnick (2012), validation of a QRIS is an…
Descriptors: Program Validation, Educational Quality, Quality Assurance, Improvement Programs
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Warren, John Robert; Saliba, Jim – Educational Researcher, 2012
How many students repeat a grade each year? How do retention rates vary across states and over time? Despite extensive research on the predictors and consequences of grade retention, there is no systematic way to quantify state-level retention rates; even national estimates rely on imperfect proxy measures. We present a conceptually simple…
Descriptors: Grade Repetition, School Holding Power, Public Education, National Surveys
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Edyburn, Dave L.; Smith, Roger O. – Assistive Technology Outcomes and Benefits, 2004
The topic of assistive technology (AT) outcomes has only recently received attention in the professional literature. As a result, there is a considerable void in the profession's ability to address contemporary questions about the value and use of AT. The purpose of this article is to highlight the theory, development, and research efforts of the…
Descriptors: Disabilities, Educational Technology, Assistive Technology, Research and Development