Descriptor
| Difficulty Level | 2 |
| Latent Trait Theory | 2 |
| Mathematical Models | 2 |
| Simulation | 2 |
| Test Items | 2 |
| Cluster Analysis | 1 |
| Data Analysis | 1 |
| Factor Analysis | 1 |
| Goodness of Fit | 1 |
| Guessing (Tests) | 1 |
| Higher Education | 1 |
| More ▼ | |
Source
Author
| Reckase, Mark D. | 2 |
| McKinley, Robert L. | 1 |
Publication Type
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textMcKinley, Robert L.; Reckase, Mark D. – 1983
Real test data of unknown structure were analyzed using both a unidimensional and a multidimensional latent trait model in an attempt to determine the underlying components of the test. The models used were the three-parameter logistic model and a multidimensional extension of the two-parameter logistic model. The basic design for the analysis of…
Descriptors: Data Analysis, Difficulty Level, Goodness of Fit, Higher Education
Reckase, Mark D. – 1981
One of the major assumptions of latent trait theory is that the items in a test measure a single dimension. This report describes an investigation of procedures for forming a set of items that meet this assumption. Factor analysis, nonmetric multidimensional scaling, cluster analysis and latent trait analysis were applied to simulated and real…
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Guessing (Tests)
