NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Moretti, Angelo; Whitworth, Adam – Sociological Methods & Research, 2023
Spatial microsimulation encompasses a range of alternative methodological approaches for the small area estimation (SAE) of target population parameters from sample survey data down to target small areas in contexts where such data are desired but not otherwise available. Although widely used, an enduring limitation of spatial microsimulation SAE…
Descriptors: Simulation, Geometric Concepts, Computation, Measurement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wiberg, Marie – Practical Assessment, Research & Evaluation, 2021
The overall aim was to examine the equated values when using different linkage plans and different observed-score equipercentile equating methods with the equivalent groups (EG) design and the nonequivalent groups with anchor test (NEAT) design. Both real data from a college admissions test and simulated data were used with frequency estimation,…
Descriptors: Equated Scores, Test Items, Methods, College Entrance Examinations
Peer reviewed Peer reviewed
Direct linkDirect link
Robitzsch, Alexander; Lüdtke, Oliver – Assessment in Education: Principles, Policy & Practice, 2019
One major aim of international large-scale assessments (ILSAs) is to monitor changes in student performance over time. To accomplish this task, a set of common items is repeatedly administered in each assessment and linking methods are used to align the results from the different assessments on a common scale. The present article introduces a…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kilic, Abdullah Faruk; Dogan, Nuri – International Journal of Assessment Tools in Education, 2021
Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items,…
Descriptors: Factor Analysis, Computation, Least Squares Statistics, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Sachse, Karoline A.; Haag, Nicole – Applied Measurement in Education, 2017
Standard errors computed according to the operational practices of international large-scale assessment studies such as the Programme for International Student Assessment's (PISA) or the Trends in International Mathematics and Science Study (TIMSS) may be biased when cross-national differential item functioning (DIF) and item parameter drift are…
Descriptors: Error of Measurement, Test Bias, International Assessment, Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wang, Jianjun; Ma, Xin – Athens Journal of Education, 2019
This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…
Descriptors: Scores, Correlation, Achievement Tests, Elementary Secondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, HyeSun – Applied Measurement in Education, 2018
The current simulation study examined the effects of Item Parameter Drift (IPD) occurring in a short scale on parameter estimates in multilevel models where scores from a scale were employed as a time-varying predictor to account for outcome scores. Five factors, including three decisions about IPD, were considered for simulation conditions. It…
Descriptors: Test Items, Hierarchical Linear Modeling, Predictor Variables, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Cheek, Kim A. – Research in Science Education, 2017
Ideas about temporal (and spatial) scale impact students' understanding across science disciplines. Learners have difficulty comprehending the long time periods associated with natural processes because they have no referent for the magnitudes involved. When people have a good "feel" for quantity, they estimate cardinal number magnitude…
Descriptors: Foreign Countries, Scientific Concepts, Science Education, Spatial Ability
Tumová, Veronika; Vondrová, Nada – Online Submission, 2017
Measurement in geometry is one of the key areas of school mathematics, however, pupils make serious mistakes when solving problems involving measurement and hold misconceptions. This article focuses on the possible links between lower secondary pupils' (n = 870) success in solving non-measurement tasks and calculations tasks on area and volume and…
Descriptors: Measurement, Geometry, Problem Solving, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Bartolucci, Francesco; Pennoni, Fulvia; Vittadini, Giorgio – Journal of Educational and Behavioral Statistics, 2016
We extend to the longitudinal setting a latent class approach that was recently introduced by Lanza, Coffman, and Xu to estimate the causal effect of a treatment. The proposed approach enables an evaluation of multiple treatment effects on subpopulations of individuals from a dynamic perspective, as it relies on a latent Markov (LM) model that is…
Descriptors: Causal Models, Markov Processes, Longitudinal Studies, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Rutkowski, Leslie; Zhou, Yan – Journal of Educational Measurement, 2015
Given the importance of large-scale assessments to educational policy conversations, it is critical that subpopulation achievement is estimated reliably and with sufficient precision. Despite this importance, biased subpopulation estimates have been found to occur when variables in the conditioning model side of a latent regression model contain…
Descriptors: Error of Measurement, Error Correction, Regression (Statistics), Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Jewsbury, Paul A.; Bowden, Stephen C. – Psychological Assessment, 2013
Mixed Group Validation (MGV) is an approach for estimating the diagnostic accuracy of tests. MGV is a promising alternative to the more commonly used Known Groups Validation (KGV) approach for estimating diagnostic accuracy. The advantage of MGV lies in the fact that the approach does not require a perfect external validity criterion or gold…
Descriptors: Diagnostic Tests, Test Validity, Accuracy, Research Design
Peer reviewed Peer reviewed
Direct linkDirect link
Goedeme, Tim – Social Indicators Research, 2013
If estimates are based on samples, they should be accompanied by appropriate standard errors and confidence intervals. This is true for scientific research in general, and is even more important if estimates are used to inform and evaluate policy measures such as those aimed at attaining the Europe 2020 poverty reduction target. In this article I…
Descriptors: Foreign Countries, Poverty, Social Isolation, Social Indicators
Peer reviewed Peer reviewed
Direct linkDirect link
Pantelis, Peter C.; Kennedy, Daniel P. – Autism: The International Journal of Research and Practice, 2016
Two-phase designs in epidemiological studies of autism prevalence introduce methodological complications that can severely limit the precision of resulting estimates. If the assumptions used to derive the prevalence estimate are invalid or if the uncertainty surrounding these assumptions is not properly accounted for in the statistical inference…
Descriptors: Foreign Countries, Pervasive Developmental Disorders, Autism, Incidence
Peer reviewed Peer reviewed
Direct linkDirect link
Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
Previous Page | Next Page »
Pages: 1  |  2