Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 6 |
Descriptor
Error Patterns | 6 |
Simulation | 6 |
Item Response Theory | 5 |
Measurement Techniques | 4 |
Models | 4 |
Accuracy | 2 |
Comparative Analysis | 2 |
Computation | 2 |
Hypothesis Testing | 2 |
Maximum Likelihood Statistics | 2 |
Sample Size | 2 |
More ▼ |
Source
Journal of Educational… | 6 |
Author
Amanda Goodwin | 2 |
Matthew Naveiras | 2 |
Sun-Joo Cho | 2 |
Hambleton, Ronald K. | 1 |
Hou, Likun | 1 |
Jorge Salas | 1 |
Liang, Tie | 1 |
Nandakumar, Ratna | 1 |
Paul De Boeck | 1 |
Sinharay, Sandip | 1 |
Wells, Craig S. | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Education Level
Elementary Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Journal of Educational Measurement, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Zhang, Zhonghua; Zhao, Mingren – Journal of Educational Measurement, 2019
The present study evaluated the multiple imputation method, a procedure that is similar to the one suggested by Li and Lissitz (2004), and compared the performance of this method with that of the bootstrap method and the delta method in obtaining the standard errors for the estimates of the parameter scale transformation coefficients in item…
Descriptors: Item Response Theory, Error Patterns, Item Analysis, Simulation
Sinharay, Sandip – Journal of Educational Measurement, 2016
De la Torre and Deng suggested a resampling-based approach for person-fit assessment (PFA). The approach involves the use of the [math equation unavailable] statistic, a corrected expected a posteriori estimate of the examinee ability, and the Monte Carlo (MC) resampling method. The Type I error rate of the approach was closer to the nominal level…
Descriptors: Sampling, Research Methodology, Error Patterns, Monte Carlo Methods
Liang, Tie; Wells, Craig S.; Hambleton, Ronald K. – Journal of Educational Measurement, 2014
As item response theory has been more widely applied, investigating the fit of a parametric model becomes an important part of the measurement process. There is a lack of promising solutions to the detection of model misfit in IRT. Douglas and Cohen introduced a general nonparametric approach, RISE (Root Integrated Squared Error), for detecting…
Descriptors: Item Response Theory, Measurement Techniques, Nonparametric Statistics, Models
Hou, Likun; de la Torre, Jimmy; Nandakumar, Ratna – Journal of Educational Measurement, 2014
Analyzing examinees' responses using cognitive diagnostic models (CDMs) has the advantage of providing diagnostic information. To ensure the validity of the results from these models, differential item functioning (DIF) in CDMs needs to be investigated. In this article, the Wald test is proposed to examine DIF in the context of CDMs. This study…
Descriptors: Test Bias, Models, Simulation, Error Patterns