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Gansemer-Topf, Ann M.; Downey, Jillian; Genschel, Ulrike – Research & Practice in Assessment, 2017
Effective assessment practice requires clearly defining and operationalizing terminology. We illustrate the importance of this practice by focusing on academic "undermatching"--when students enroll in colleges that are less academically selective than those for which they are academically prepared. Undermatching has been viewed as a…
Descriptors: Differences, Definitions, Vocabulary, Comparative Analysis
Ackerman, Matthew; Egalite, Anna J. – Program on Education Policy and Governance, 2015
When lotteries are infeasible, researchers must rely on observational methods to estimate charter effectiveness at raising student test scores. Considerable attention has been paid to observational studies by the Stanford Center for Research on Education Outcomes (CREDO), which have analyzed charter performance in 27 states. However, the…
Descriptors: Charter Schools, Observation, Special Education, Lunch Programs
Panaretos, John; Malesios, Chrisovaladis C. – Measurement: Interdisciplinary Research and Perspectives, 2012
In their article Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) present a comparative study of some of the different variants of the "h" index. The study evaluates a total of 22 metrics, including the "h" index and "h"-type indices, as well as other conventional measures. The novelty of their work is to a large extent…
Descriptors: Comparative Analysis, Usability, Statistical Analysis, Productivity
Adams, Matthew J. – ProQuest LLC, 2011
The Problem: This study was designed to analyze the evaluation criteria of the instruments used to evaluate superintendents, the job descriptions for those superintendents, and the goals written as part of their Individual Administrator Professional Development Plans (IAPDPs) to determine whether superintendents are being held accountable for…
Descriptors: Evaluation Criteria, Sampling, Content Analysis, Instructional Leadership
Lissitz, Robert W.; Hou, Xiaodong; Slater, Sharon Cadman – Journal of Applied Testing Technology, 2012
This article investigates several questions regarding the impact of different item formats on measurement characteristics. Constructed response (CR) items and multiple choice (MC) items obviously differ in their formats and in the resources needed to score them. As such, they have been the subject of considerable discussion regarding the impact of…
Descriptors: Computer Assisted Testing, Scoring, Evaluation Problems, Psychometrics
Dixon, Jennifer J. – ProQuest LLC, 2012
This study explores No Child Left Behind's required timetable for English language learners (ELLs) to reach English language proficiency within five years, as outlined in the Annual Measurable Achievement Outcomes (AMAOs), despite the lack of research evidence to support this as a reasonable expectation. Analysis was conducted on the archived data…
Descriptors: Learning Disabilities, Evidence, Bilingual Education, Statistical Analysis
Finn, Jeremy D. – Education and the Public Interest Center, 2010
In 2002, voters in Florida approved a constitutional amendment limiting class sizes in public schools to 18 students in the elementary grades, 22 students in middle grades, and 25 in high school grades. Analyzing statewide achievement data for school districts from 2004-2006 and for schools in 2007, this study purports to find that "mandated…
Descriptors: Class Size, Small Classes, Program Effectiveness, Educational Policy
Cobb, Casey D. – Education and the Public Interest Center, 2009
The study under review is the second-year evaluation report of the Milwaukee Parental Choice Program (MPCP), a publicly funded voucher program that allows low-income students in Milwaukee to attend secular and religious private schools in that city. Its primary finding is that there were no overall statistically significant differences in…
Descriptors: Research Reports, Research Methodology, Evaluation Methods, Evaluation Problems

Newton, Paul E. – British Educational Research Journal, 1997
Focuses on Subject-Pair Analysis, a technique for comparing examinations in different subjects, to demonstrate that reliance on statistical comparisons of standards between subjects is misplaced. Explicates the fundamental assumptions underlying the Subject-Pair Analysis. Argues that this and related analyses are inappropriate for dealing with the…
Descriptors: Comparative Analysis, Data Analysis, Evaluation Methods, Evaluation Problems