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Bissonnette, Steve; Boyer, Christian – Journal of Computer Assisted Learning, 2022
Tingir et al. (2017) concluded from their meta-analysis that the subject areas taught through mobile devices had significantly higher achievement scores (d = 0.48) than the ones taught with traditional teaching methods. Given the relatively high positive effect of mobile devices on student achievement, we carefully analysed the selected research…
Descriptors: Meta Analysis, Electronic Learning, Handheld Devices, Academic Achievement
Marks, Gary N. – British Journal of Sociology of Education, 2021
Recently in this journal, Sciffer, Perry, and McConney (2020) argued that school socioeconomic-background (SES) compositional effects are important for both research and policy. In response, this commentary argues that realistic school SES effects can only be identified in properly specified models. Otherwise, the estimated school effects are very…
Descriptors: Socioeconomic Status, School Demography, Academic Achievement, Institutional Characteristics
Ballou, Dale; Springer, Matthew G. – Educational Researcher, 2015
Our aim in this article is to draw attention to some underappreciated problems in the design and implementation of evaluation systems that incorporate value-added measures. We focus on four: (1) taking into account measurement error in teacher assessments, (2) revising teachers' scores as more information becomes available about their students,…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Scores, Error of Measurement
Jacob, Robin T.; Goddard, Roger D.; Kim, Eun Sook – Educational Evaluation and Policy Analysis, 2014
It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…
Descriptors: Academic Achievement, Data, Information Utilization, Educational Assessment
Battauz, Michela; Bellio, Ruggero – Psychometrika, 2011
This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable…
Descriptors: Error of Measurement, Structural Equation Models, Computation, Item Response Theory
Lane, Suzanne; Leventhal, Brian – Review of Research in Education, 2015
This chapter addresses the psychometric challenges in assessing English language learners (ELLs) and students with disabilities (SWDs). The first section addresses some general considerations in the assessment of ELLs and SWDs, including the prevalence of ELLs and SWDs in the student population, federal and state legislation that requires the…
Descriptors: Psychometrics, Evaluation Problems, English Language Learners, Disabilities
Loeb, Susanna; Candelaria, Christopher A. – Carnegie Foundation for the Advancement of Teaching, 2012
Value-added models measure teacher performance by the test score gains of their students, adjusted for a variety of factors such as the performance of students when they enter the class. The measures are based on desired student outcomes such as math and reading scores, but they have a number of potential drawbacks. One of them is the…
Descriptors: Academic Achievement, Teacher Effectiveness, Scores, Peer Influence
Raudenbush, Stephen W.; Jean, Marshall – Carnegie Foundation for the Advancement of Teaching, 2012
A teacher's value-added score is intended to convey how much that teacher has contributed to student learning in a particular subject in a particular year. Different school districts define and compute value-added scores in different ways. A variety of people may see value-added estimates, and each group may use them for different purposes.…
Descriptors: Teacher Effectiveness, Achievement Tests, Statistical Bias, Teacher Evaluation
Carnoy, Martin – National Education Policy Center, 2015
Stanford education professor Martin Carnoy examines four main critiques of how international test results are used in policymaking. Of particular interest are critiques of the policy analyses published by the Program for International Student Assessment (PISA). Using average PISA scores as a comparative measure of student achievement is misleading…
Descriptors: Criticism, Reputation, Test Validity, Error of Measurement
Sturgis, Chris – International Association for K-12 Online Learning, 2014
This paper is part of a series investigating the implementation of competency education. The purpose of the paper is to explore how districts and schools can redesign grading systems to best help students to excel in academics and to gain the skills that are needed to be successful in college, the community, and the workplace. In order to make the…
Descriptors: Grading, Competency Based Education, Evaluation Methods, Evaluation Research
Raudenbush, Stephen – Carnegie Foundation for the Advancement of Teaching, 2013
This brief considers the problem of using value-added scores to compare teachers who work in different schools. The author focuses on whether such comparisons can be regarded as fair, or, in statistical language, "unbiased." An unbiased measure does not systematically favor teachers because of the backgrounds of the students they are…
Descriptors: Educational Research, Achievement Gains, Teacher Effectiveness, Comparative Analysis
Munyofu, Paul – Performance Improvement Quarterly, 2010
The state of Pennsylvania, like many organizations interested in performance improvement, routinely engages in professional development activities. Educators in this hands-on activity engaged in setting meaningful criterion-referenced cut scores for career and technical education assessments using two methods. The main purposes of this study were…
Descriptors: Standard Setting, Cutting Scores, Professional Development, Vocational Education
Cheng, Soh Kay – European Journal of Higher Education, 2011
Notwithstanding criticisms and discussions on methodological grounds, much attention has been and still will be paid to university rankings for various reasons. The present paper uses published information of the 10 top-ranking universities of the world and demonstrates the problem of spurious precision. In view of the problem of measurement error…
Descriptors: Institutional Characteristics, Reputation, Institutional Evaluation, Error of Measurement
Kim, Se-Kang – International Journal of Testing, 2010
The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…
Descriptors: Intervals, Multidimensional Scaling, Profiles, Evaluation
Hamilton, Patti; Johnson, Robert; Poudrier, Chelsey – Teaching in Higher Education, 2010
In this paper, we argue that, as indicators of the educational quality of graduate degree programs, student theses and dissertations are best used in specific contexts. High-quality theses and dissertations, that is, may be the result of factors such as verbal skills students already possessed at admission or of complex interactions between…
Descriptors: Educational Quality, Doctoral Dissertations, Theses, Change Strategies