Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 5 |
Descriptor
Data Analysis | 6 |
Simulation | 6 |
Item Response Theory | 5 |
Models | 4 |
Computation | 3 |
Correlation | 3 |
Ability | 2 |
Evaluation Methods | 2 |
Markov Processes | 2 |
Monte Carlo Methods | 2 |
Statistical Analysis | 2 |
More ▼ |
Source
Applied Psychological… | 6 |
Author
de la Torre, Jimmy | 2 |
Chan, Tsze | 1 |
Chen, Cheng-Te | 1 |
Cohen, Jon | 1 |
Finch, Holmes | 1 |
Habing, Brian | 1 |
Jiang, Tao | 1 |
Roberts, James S. | 1 |
Seburn, Mary | 1 |
Song, Hao | 1 |
Wang, Wen-Chung | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Education Level
Elementary Secondary Education | 1 |
Grade 4 | 1 |
High Schools | 1 |
Audience
Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Zhang, Jinming – Applied Psychological Measurement, 2012
It is common to assume during a statistical analysis of a multiscale assessment that the assessment is composed of several unidimensional subtests or that it has simple structure. Under this assumption, the unidimensional and multidimensional approaches can be used to estimate item parameters. These two approaches are equivalent in parameter…
Descriptors: Simulation, Computation, Models, Statistical Analysis
de la Torre, Jimmy; Song, Hao – Applied Psychological Measurement, 2009
Assessments consisting of different domains (e.g., content areas, objectives) are typically multidimensional in nature but are commonly assumed to be unidimensional for estimation purposes. The different domains of these assessments are further treated as multi-unidimensional tests for the purpose of obtaining diagnostic information. However, when…
Descriptors: Ability, Tests, Item Response Theory, Data Analysis
Effects of Ignoring Item Interaction on Item Parameter Estimation and Detection of Interacting Items
Chen, Cheng-Te; Wang, Wen-Chung – Applied Psychological Measurement, 2007
This study explores the effects of ignoring item interaction on item parameter estimation and the efficiency of using the local dependence index Q[subscript 3] and the SAS NLMIXED procedure to detect item interaction under the three-parameter logistic model and the generalized partial credit model. Through simulations, it was found that ignoring…
Descriptors: Models, Item Response Theory, Simulation, Generalization
Cohen, Jon; Chan, Tsze; Jiang, Tao; Seburn, Mary – Applied Psychological Measurement, 2008
U.S. state educational testing programs administer tests to track student progress and hold schools accountable for educational outcomes. Methods from item response theory, especially Rasch models, are usually used to equate different forms of a test. The most popular method for estimating Rasch models yields inconsistent estimates and relies on…
Descriptors: Testing Programs, Educational Testing, Item Response Theory, Computation
de la Torre, Jimmy – Applied Psychological Measurement, 2008
Recent work has shown that multidimensionally scoring responses from different tests can provide better ability estimates. For educational assessment data, applications of this approach have been limited to binary scores. Of the different variants, the de la Torre and Patz model is considered more general because implementing the scoring procedure…
Descriptors: Markov Processes, Scoring, Data Analysis, Item Response Theory
Habing, Brian; Finch, Holmes; Roberts, James S. – Applied Psychological Measurement, 2005
Although there are many methods available for dimensionality assessment for items with monotone item response functions, there are few methods available for unfolding item response theory models. In this study, a modification of Yen's Q3 statistic is proposed for the case of these nonmonotone item response models. Through a simulation study, the…
Descriptors: Data Analysis, Simulation, Multidimensional Scaling, Item Response Theory