Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Item Response Theory | 2 |
| Psychometrics | 2 |
| Simulation | 2 |
| Statistical Inference | 2 |
| Bias | 1 |
| Educational Assessment | 1 |
| Error of Measurement | 1 |
| Measurement Techniques | 1 |
| Probability | 1 |
| Science Process Skills | 1 |
| Scores | 1 |
| More ▼ | |
Author
| Dablander, Fabian | 1 |
| Edelsbrunner, Peter A. | 1 |
| Hessen, David J. | 1 |
| Sijtsma, Klaas | 1 |
| Tijmstra, Jesper | 1 |
| van der Heijden, Peter G. M. | 1 |
Publication Type
| Journal Articles | 2 |
| Information Analyses | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkEdelsbrunner, Peter A.; Dablander, Fabian – Educational Psychology Review, 2019
Psychometric modeling has become a frequently used statistical tool in research on scientific reasoning. We review psychometric modeling practices in this field, including model choice, model testing, and researchers' inferences based on their psychometric practices. A review of 11 empirical research studies reveals that the predominant…
Descriptors: Psychometrics, Science Process Skills, Item Response Theory, Educational Assessment
Tijmstra, Jesper; Hessen, David J.; van der Heijden, Peter G. M.; Sijtsma, Klaas – Psychometrika, 2013
Most dichotomous item response models share the assumption of latent monotonicity, which states that the probability of a positive response to an item is a nondecreasing function of a latent variable intended to be measured. Latent monotonicity cannot be evaluated directly, but it implies manifest monotonicity across a variety of observed scores,…
Descriptors: Item Response Theory, Statistical Inference, Probability, Psychometrics
