Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Descriptor
Data Interpretation | 4 |
Diagnostic Tests | 2 |
Models | 2 |
Psychometrics | 2 |
Accuracy | 1 |
Alternative Assessment | 1 |
Bayesian Statistics | 1 |
Classification | 1 |
Coding | 1 |
Cognitive Measurement | 1 |
Computation | 1 |
More ▼ |
Source
Educational Measurement:… | 4 |
Author
Ames, Allison | 1 |
Baron, Patricia | 1 |
Bradshaw, Laine | 1 |
Feinberg, Richard A. | 1 |
Jurich, Daniel P. | 1 |
Levy, Roy | 1 |
Myers, Aaron | 1 |
Sireci, Stephen G. | 1 |
Slater, Sharon C. | 1 |
Publication Type
Journal Articles | 4 |
Reports - Descriptive | 2 |
Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Baron, Patricia; Sireci, Stephen G.; Slater, Sharon C. – Educational Measurement: Issues and Practice, 2021
Since the No Child Left Behind Act (No Child Left Behind [NCLB], 2001) was enacted, the Bookmark method has been used in many state standard setting studies (Karantonis and Sireci; Zieky, Perie, and Livingston). The purpose of the current study is to evaluate the criticism that when panelists are presented with data during the Bookmark standard…
Descriptors: State Standards, Standard Setting, Evaluators, Training
Bradshaw, Laine; Levy, Roy – Educational Measurement: Issues and Practice, 2019
Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…
Descriptors: Data Interpretation, Probability, Classification, Diagnostic Tests
Feinberg, Richard A.; Jurich, Daniel P. – Educational Measurement: Issues and Practice, 2017
Recent research has proposed a criterion to evaluate the reportability of subscores. This criterion is a value-added ratio ("VAR"), where values greater than 1 suggest that the true subscore is better approximated by the observed subscore than by the total score. This research extends the existing literature by quantifying statistical…
Descriptors: Guidelines, Scores, Research Reports, Value Added Models
Ames, Allison; Myers, Aaron – Educational Measurement: Issues and Practice, 2019
Drawing valid inferences from modern measurement models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. As Bayesian estimation is becoming more common, understanding the Bayesian approaches for evaluating model-data fit models…
Descriptors: Bayesian Statistics, Psychometrics, Models, Predictive Measurement