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Schneider, W. Joel; Roman, Zachary – Journal of Psychoeducational Assessment, 2018
We used data simulations to test whether composites consisting of cohesive subtest scores are more accurate than composites consisting of divergent subtest scores. We demonstrate that when multivariate normality holds, divergent and cohesive scores are equally accurate. Furthermore, excluding divergent scores results in biased estimates of…
Descriptors: Statistical Data, Simulation, Testing, Scores
Sianjina, Rayton R.; Phillips, Richard – Educational Forum, 2014
The National Center for Educational Statistics, in conjunction with the U.S. Department of Education, compiles statistical data for U.S. schools. As charts indicate, in 2001, it reported that nationwide, 76% of high-income graduates immediately enroll in colleges or trade schools. However, only 49% of Hispanic and 59% of African Americans enroll…
Descriptors: African American Students, Student Participation, Intervention, College Preparation
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research