NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
What Works Clearinghouse Rating
Showing 1 to 15 of 23 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wright, Daniel B. – International Journal of Research & Method in Education, 2017
Many education policies require estimating whether students in different grades are on track for achieving certain educational standards. One approach for constructing these cut scores is to estimate the values on tests that predict reaching targets on subsequent tests. Whether a student is deemed on target can affect the student's course…
Descriptors: Cutting Scores, Regression (Statistics), Elementary Secondary Education, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2021
Large-scale assessments (LSAs) use Mislevy's "plausible value" (PV) approach to relate student proficiency to noncognitive variables administered in a background questionnaire. This method requires background variables to be completely observed, a requirement that is seldom fulfilled. In this article, we evaluate and compare the…
Descriptors: Data Analysis, Error of Measurement, Research Problems, Statistical Inference
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kannan, Priya; Sgammato, Adrienne – ETS Research Report Series, 2017
Logistic regression (LR)-based methods have become increasingly popular for predicting and articulating cut scores. However, the precision of predictive relationships is largely dependent on the underlying correlations between the predictor and the criterion. In two simulation studies, we evaluated the impact of varying the underlying grade-level…
Descriptors: Regression (Statistics), Cutting Scores, Prediction, Accuracy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lu, Ying – ETS Research Report Series, 2017
For standard- or criterion-based assessments, the use of cut scores to indicate mastery, nonmastery, or different levels of skill mastery is very common. As part of performance summary, it is of interest to examine the percentage of examinees at or above the cut scores (PAC) and how PAC evolves across administrations. This paper shows that…
Descriptors: Cutting Scores, Evaluation Methods, Mastery Learning, Performance Based Assessment
Hansen, Michael; Lemke, Mariann; Sorensen, Nicholas – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2014
Teacher and principal evaluation systems now emerging in response to federal, state and/or local policy initiatives typically require that a component of teacher evaluation be based on multiple performance metrics, which must be combined to produce summative ratings of teacher effectiveness. Districts have utilized three common approaches to…
Descriptors: Teacher Evaluation, Measures (Individuals), Error of Measurement, Teacher Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Pokropek, Artur – Sociological Methods & Research, 2015
This article combines statistical and applied research perspective showing problems that might arise when measurement error in multilevel compositional effects analysis is ignored. This article focuses on data where independent variables are constructed measures. Simulation studies are conducted evaluating methods that could overcome the…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Simulation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole – Journal of Educational Measurement, 2016
Trend estimation in international comparative large-scale assessments relies on measurement invariance between countries. However, cross-national differential item functioning (DIF) has been repeatedly documented. We ran a simulation study using national item parameters, which required trends to be computed separately for each country, to compare…
Descriptors: Comparative Analysis, Measurement, Test Bias, Simulation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Öztürk-Gübes, Nese; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2016
The purpose of this study was to examine the impact of dimensionality, common-item set format, and different scale linking methods on preserving equity property with mixed-format test equating. Item response theory (IRT) true-score equating (TSE) and IRT observed-score equating (OSE) methods were used under common-item nonequivalent groups design.…
Descriptors: Test Format, Item Response Theory, True Scores, Equated Scores
Peer reviewed Peer reviewed
Direct linkDirect link
DiCerbo, Kristen E. – Educational Technology & Society, 2014
Interest in 21st century skills has brought concomitant interest in ways to teach and measure them. Games hold promise in these areas, but much of their potential has yet to be proven, and there are few examples of how to use the rich data from games to make inferences about players' knowledge, skills, and attributes. This article builds an…
Descriptors: Persistence, Evaluation Methods, Data Collection, Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Barakat, Bilal Fouad – International Journal of Educational Development, 2012
The number of years a child of school-entry age can expect to remain in school is of great interest both as a measure of individual human capital and of the performance of an education system. An approximate indicator of this concept is the sum of age-specific enrolment rates. The relatively low data demands of this indicator that are feasible to…
Descriptors: Human Capital, Measurement Techniques, Simulation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Azzam, Tarek – American Journal of Evaluation, 2011
This study addresses the central question "How do evaluators' background characteristics relate to their evaluation design choices?" Evaluators were provided with a fictitious description of a school-based program and asked to design an evaluation of that program. Relevant background characteristics such as level of experience,…
Descriptors: Evaluators, Program Evaluation, Evaluation Utilization, Evaluation Methods
O'Neil, Timothy P. – ProQuest LLC, 2010
With scant research to draw upon with respect to the maintenance of vertical scales over time, decisions around the creation and performance of vertical scales over time necessarily suffers due to the lack of information. Undetected item parameter drift (IPD) presents one of the greatest threats to scale maintenance within an item response theory…
Descriptors: Scaling, Measures (Individuals), Item Response Theory, Educational Assessment
Peer reviewed Peer reviewed
Direct linkDirect link
Cai, Li – Journal of Educational and Behavioral Statistics, 2010
Item factor analysis (IFA), already well established in educational measurement, is increasingly applied to psychological measurement in research settings. However, high-dimensional confirmatory IFA remains a numerical challenge. The current research extends the Metropolis-Hastings Robbins-Monro (MH-RM) algorithm, initially proposed for…
Descriptors: Simulation, Questionnaires, Measurement, Factor Analysis
Weston, Margaret – Public Policy Institute of California, 2010
This document presents the technical appendices accompanying the report, "Funding California Schools: The Revenue Limit System." Included are: (1) Revenue Limit Calculation and Decomposition; (2) Data and Methods; and (3) Base Funding Alternative Simulation Results. (Contains 5 tables and 26 footnotes.) [For the main report,…
Descriptors: Income, Educational Finance, Statistical Data, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Harteveld, Casper; ten Thij, Eleonore; Copier, Marinka – Simulation & Gaming, 2011
One of the goals of game designers is to design for an engaging experience and for social interaction. The question is how. We know that games can be engaging and allow for social interaction, but how do we achieve this or even improve on it? This article provides an overview of several scientific approaches that deal with this question. It…
Descriptors: Interpersonal Relationship, Interaction, Social Environment, Educational Research
Previous Page | Next Page »
Pages: 1  |  2