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Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
Peer reviewed Peer reviewed
Greenspan, Stephen; McGrew, Kevin S. – Research in Developmental Disabilities, 1996
This paper responds to a 1992 study in which it was argued that the structure of intelligence in adults with severe mental retardation deviates from Greenspan's model, in which social and practical intelligence form separate factors. Application of confirmatory factor analysis to the original correlation matrix found the Greenspan model to be…
Descriptors: Adaptive Behavior (of Disabled), Adults, Data Interpretation, Factor Analysis
Peer reviewed Peer reviewed
Mathias, J. L.; And Others – Research in Developmental Disabilities, 1996
This paper discusses inconsistencies in Greenspan and McGrew's argument that confirmatory, rather than exploratory, factor analysis should be utilized in testing Greenspan's model of adaptive intelligence in adults with severe mental retardation. It is argued that problems with the data set should be addressed through further research rather than…
Descriptors: Adaptive Behavior (of Disabled), Adults, Data Interpretation, Factor Analysis
Peer reviewed Peer reviewed
Kavale, Kenneth A.; Hirshoren, Alfred; Forness, Steven R. – Learning Disabilities Research and Practice, 1998
Synthesizes findings from 36 studies that validated the Dunn and Dunn Model of Learning-Style Preferences. Questions are raised regarding the validity of the model, the nature of the literature base, the interpretation of the meta-analytic findings, and the conclusions. The article concludes that the model has not been adequately validated.…
Descriptors: Cognitive Style, Data Interpretation, Elementary Secondary Education, Learning Disabilities
Peer reviewed Peer reviewed
Peshkin, Alan – Educational Researcher, 1993
Dismissing research that is not theory driven, hypothesis testing, or generalization producing does injustice to the variety of contributions that qualitative research can make. Studies conducted through qualitative approaches are reviewed to summarize the desirable outcomes that can result. No research model has a monopoly on quality. (SLD)
Descriptors: Data Interpretation, Educational Research, Evaluation Methods, Generalization
General Accounting Office, Washington, DC. – 1985
To compile its projections of future employment levels, the Bureau of Labor Statistics (BLS) combines the following five interlinked models in a six-step process: a labor force model, an econometric model of the U.S. economy, an industry activity model, an industry labor demand model, and an occupational labor demand model. The BLS was asked to…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Employment Projections