Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
Descriptor
| Classification | 2 |
| Goodness of Fit | 2 |
| Identification | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Bayesian Statistics | 1 |
| Bias | 1 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Item Analysis | 1 |
| Item Response Theory | 1 |
| More ▼ | |
Source
| Educational and Psychological… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Marlowe Crowne Social… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkSanaz Nazari; Walter L. Leite; A. Corinne Huggins-Manley – Educational and Psychological Measurement, 2024
Social desirability bias (SDB) is a common threat to the validity of conclusions from responses to a scale or survey. There is a wide range of person-fit statistics in the literature that can be employed to detect SDB. In addition, machine learning classifiers, such as logistic regression and random forest, have the potential to distinguish…
Descriptors: Social Desirability, Bias, Artificial Intelligence, Identification
Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification
