Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Comparative Testing | 3 |
| Multidimensional Scaling | 3 |
| Test Reliability | 3 |
| Item Response Theory | 2 |
| Research Methodology | 2 |
| Test Validity | 2 |
| Undergraduate Students | 2 |
| Anxiety | 1 |
| College Students | 1 |
| Computers | 1 |
| Correlation | 1 |
| More ▼ | |
Author
| Bandalos, Deborah | 1 |
| Benson, Jeri | 1 |
| Bhola, Dennison S. | 1 |
| DeMars, Christine E. | 1 |
| Kong, Xiaojing J. | 1 |
| Wise, Steven L. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Computer Anxiety Scale | 1 |
What Works Clearinghouse Rating
Kong, Xiaojing J.; Wise, Steven L.; Bhola, Dennison S. – Educational and Psychological Measurement, 2007
This study compared four methods for setting item response time thresholds to differentiate rapid-guessing behavior from solution behavior. Thresholds were either (a) common for all test items, (b) based on item surface features such as the amount of reading required, (c) based on visually inspecting response time frequency distributions, or (d)…
Descriptors: Test Items, Reaction Time, Timed Tests, Item Response Theory
Peer reviewedBandalos, Deborah; Benson, Jeri – Educational and Psychological Measurement, 1990
The Computer Anxiety Scale was tested for invariance over the grouping conditions of males/females and graduate/undergraduate status. Subjects included 187 undergraduates and 188 graduates; analyses were conducted on 136 males and 236 females. Results indicate that the construct of computer anxiety appears to be multidimensional with highly…
Descriptors: Anxiety, Comparative Testing, Computers, Factor Structure
DeMars, Christine E. – Online Submission, 2005
Several methods for estimating item response theory scores for multiple subtests were compared. These methods included two multidimensional item response theory models: a bi-factor model where each subtest was a composite score based on the primary trait measured by the set of tests and a secondary trait measured by the individual subtest, and a…
Descriptors: Item Response Theory, Multidimensional Scaling, Correlation, Scoring Rubrics

Direct link
