Laine Bradshaw
Biographic Data
| ID | 9252425 |
|---|---|
| NAME | Laine Bradshaw |
| GIVEN NAMES | Laine |
| FAMILY NAME | Bradshaw |
| SIGNATURE | BRADSHAW L |
| AFFILIATIONS | University of Georgia, Athens, GA, USA |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
The Impact of Q-Matrix Designs on Diagnostic Classification Accuracy in the Presence of Attribute Hierarchies
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a hierarchical structure because student learning and development is a sequential process where many skills …
The Effects of Q-Matrix Design on Classification Accuracy in the Log-Linear Cognitive Diagnosis Model
Diagnostic classification models are psychometric models that aim to classify examinees according to their mastery or non-mastery of specified latent characteristics. These models are well-suited for providing diagnostic feedback on educational assessments because of their practical efficiency and increased reliability when compared with other multidimensional measurement models. A priori specifications of which latent characteristics or attribut…
No prominent works on this page.
The Effects of Q-Matrix Design on Classification Accuracy in the Log-Linear Cognitive Diagnosis Model
Diagnostic classification models are psychometric models that aim to classify examinees according to their mastery or non-mastery of specified latent characteristics. These models are well-suited for providing diagnostic feedback on educational assessments because of their practical efficiency and increased reliability when compared with other multidimensional measurement models. A priori specifications of which latent characteristics or attribut…
The Impact of Q-Matrix Designs on Diagnostic Classification Accuracy in the Presence of Attribute Hierarchies
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a hierarchical structure because student learning and development is a sequential process where many skills …
Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Data mining (2 works) · Machine learning (2 works) · Matrix (chemical analysis) (2 works) · Psychology (2 works) · A priori and a posteriori (1 works) · Cognition (1 works) · Cognitive Abilities and Testing (1 works)