Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 4 |
Descriptor
| Monte Carlo Methods | 5 |
| Statistical Inference | 5 |
| Test Items | 5 |
| Item Response Theory | 3 |
| Computation | 2 |
| Sampling | 2 |
| Statistical Analysis | 2 |
| Ability | 1 |
| Change | 1 |
| Cheating | 1 |
| Comparative Analysis | 1 |
| More ▼ | |
Source
| Annenberg Institute for… | 1 |
| Educational and Psychological… | 1 |
| International Journal of… | 1 |
| Journal of Educational… | 1 |
| ProQuest LLC | 1 |
Author
| Cohen, Jon | 1 |
| Divers, Jasmin | 1 |
| James S. Kim | 1 |
| Joshua B. Gilbert | 1 |
| Luke W. Miratrix | 1 |
| Maeda, Hotaka | 1 |
| Padilla, Miguel A. | 1 |
| Snow, Stephanie | 1 |
| Wang, Weimeng | 1 |
| Zhang, Bo | 1 |
Publication Type
| Reports - Research | 4 |
| Journal Articles | 3 |
| Dissertations/Theses -… | 1 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 3 | 1 |
| Primary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Direct linkWang, Weimeng – ProQuest LLC, 2022
Recent advancements in testing differential item functioning (DIF) have greatly relaxed restrictions made by the conventional multiple group item response theory (IRT) model with respect to the number of grouping variables and the assumption of predefined DIF-free anchor items. The application of the L[subscript 1] penalty in DIF detection has…
Descriptors: Factor Analysis, Item Response Theory, Statistical Inference, Item Analysis
Download full textJoshua B. Gilbert; James S. Kim; Luke W. Miratrix – Annenberg Institute for School Reform at Brown University, 2022
Analyses that reveal how treatment effects vary allow researchers, practitioners, and policymakers to better understand the efficacy of educational interventions. In practice, however, standard statistical methods for addressing Heterogeneous Treatment Effects (HTE) fail to address the HTE that may exist within outcome measures. In this study, we…
Descriptors: Item Response Theory, Models, Formative Evaluation, Statistical Inference
Maeda, Hotaka; Zhang, Bo – International Journal of Testing, 2017
The omega (?) statistic is reputed to be one of the best indices for detecting answer copying on multiple choice tests, but its performance relies on the accurate estimation of copier ability, which is challenging because responses from the copiers may have been contaminated. We propose an algorithm that aims to identify and delete the suspected…
Descriptors: Cheating, Test Items, Mathematics, Statistics
Padilla, Miguel A.; Divers, Jasmin – Educational and Psychological Measurement, 2013
The performance of the normal theory bootstrap (NTB), the percentile bootstrap (PB), and the bias-corrected and accelerated (BCa) bootstrap confidence intervals (CIs) for coefficient omega was assessed through a Monte Carlo simulation under conditions not previously investigated. Of particular interests were nonnormal Likert-type and binary items.…
Descriptors: Sampling, Statistical Inference, Computation, Statistical Analysis
Peer reviewedCohen, Jon; Snow, Stephanie – Journal of Educational Measurement, 2002
Studied the impact of changes in item difficulty on National Assessment of Educational Progress (NAEP) estimates over time through a Monte Carlo study that simulated the responses of 1990 NAEP mathematics respondents to 1990 and 1996 NAEP mathematics items. Results support the idea that these changes have not affected the NAEP trend line.…
Descriptors: Change, Difficulty Level, Estimation (Mathematics), Mathematics Tests
