Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Journal of Educational and… | 6 |
Author
Publication Type
| Journal Articles | 6 |
| Reports - Research | 4 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Secondary Education | 2 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| Italy | 2 |
| Netherlands | 1 |
| United Kingdom (Scotland) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Trends in International… | 2 |
| National Assessment of… | 1 |
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkFrancesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
Lai, Mark H. C. – Journal of Educational and Behavioral Statistics, 2019
Previous studies have detailed the consequence of ignoring a level of clustering in multilevel models with straightly hierarchical structures and have proposed methods to adjust for the fixed effect standard errors (SEs). However, in behavioral and social science research, there are usually two or more crossed clustering levels, such as when…
Descriptors: Error of Measurement, Hierarchical Linear Modeling, Least Squares Statistics, Statistical Bias
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
Martin, Michael O.; Mullis, Ina V. S. – Journal of Educational and Behavioral Statistics, 2019
International large-scale assessments of student achievement such as International Association for the Evaluation of Educational Achievement's Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study and Organization for Economic Cooperation and Development's Program for International…
Descriptors: Achievement Tests, International Assessment, Mathematics Tests, Science Achievement
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
Battauz, Michela; Bellio, Ruggero; Gori, Enrico – Journal of Educational and Behavioral Statistics, 2011
This article proposes a multilevel model for the assessment of school effectiveness where the intake achievement is a predictor and the response variable is the achievement in the subsequent periods. The achievement is a latent variable that can be estimated on the basis of an item response theory model and hence subject to measurement error.…
Descriptors: Error of Measurement, School Effectiveness, Models, Computation
