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Matthews, Michael S.; Farmer, Jennie – Australasian Journal of Gifted Education, 2017
Dynamic assessment methods, initially developed by Feuerstein in the 1970s, have been recommended as being more equitable for identifying the academic abilities of students who may not perform well on traditional assessments due to these learners' cultural, linguistic, or economic differences from the population for whom the traditional measures…
Descriptors: Academic Achievement, Achievement Gains, Predictive Measurement, Hispanic American Students
Phillips, Gary W. – Applied Measurement in Education, 2015
This article proposes that sampling design effects have potentially huge unrecognized impacts on the results reported by large-scale district and state assessments in the United States. When design effects are unrecognized and unaccounted for they lead to underestimating the sampling error in item and test statistics. Underestimating the sampling…
Descriptors: State Programs, Sampling, Research Design, Error of Measurement
Piper, Benjamin; Zuilkowski, Stephanie Simmons – International Review of Education, 2015
In recent years, the Education for All movement has focused more intensely on the quality of education, rather than simply provision. Many recent and current education quality interventions focus on literacy, which is the core skill required for further academic success. Despite this focus on the quality of literacy instruction in developing…
Descriptors: Foreign Countries, Reading Fluency, Reading Tests, Oral Reading
Gill, Brian; Shoji, Megan; Coen, Thomas; Place, Kate – Regional Educational Laboratory Mid-Atlantic, 2016
School districts and states across the Regional Educational Laboratory Mid-Atlantic Region and the country as a whole have been modifying their teacher evaluation systems to identify more effective and less effective teachers and provide better feedback to improve instructional practice. The new systems typically include components related to…
Descriptors: Predictive Validity, Test Bias, Test Content, School Districts
Erceg-Hurn, David M.; Mirosevich, Vikki M. – American Psychologist, 2008
Classic parametric statistical significance tests, such as analysis of variance and least squares regression, are widely used by researchers in many disciplines, including psychology. For classic parametric tests to produce accurate results, the assumptions underlying them (e.g., normality and homoscedasticity) must be satisfied. These assumptions…
Descriptors: Statistical Significance, Least Squares Statistics, Effect Size, Statistical Studies
Peer reviewedCahan, Sorel – Educational and Psychological Measurement, 1989
Statistical significance and "abnormality" have been used as criteria for the evaluation of intra-individual subtest score differences. Shortcomings of these criteria are identified, and improved estimates of the true score differences are suggested. The applicability of the abnormality criterion to these improved estimates is reviewed.…
Descriptors: Estimation (Mathematics), Evaluation Methods, Individual Differences, Mathematical Models
Atkins, David C.; Bedics, Jamie D.; Mcglinchey, Joseph B.; Beauchaine, Theodore P. – Journal of Consulting and Clinical Psychology, 2005
Measures of clinical significance are frequently used to evaluate client change during therapy. Several alternatives to the original method devised by N. S. Jacobson, W. C. Follette, & D. Revenstorf (1984) have been proposed, each purporting to increase accuracy. However, researchers have had little systematic guidance in choosing among…
Descriptors: Psychotherapy, Statistical Significance, Outcomes of Treatment, Behavior Change
Dunivant, Noel – 1979
Eight different methods are reviewed for determining whether two or more tests are equivalent measures. These methods vary in restrictiveness from the Wilks-Votaw test of compound symmetry (which requires that all means, variances, and covariances are equal), to Joreskog's theory of congeneric tests (which requires only that the tests are measures…
Descriptors: Analysis of Variance, Comparative Analysis, Error of Measurement, Evaluation Methods

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