Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Error of Measurement | 3 |
Computation | 2 |
Item Response Theory | 2 |
Data Analysis | 1 |
Equated Scores | 1 |
Evaluation | 1 |
Growth Models | 1 |
Inferences | 1 |
Longitudinal Studies | 1 |
Maximum Likelihood Statistics | 1 |
Models | 1 |
More ▼ |
Source
Measurement:… | 3 |
Author
Borsboom, Denny | 1 |
Marcoulides, George A. | 1 |
Marcoulides, Katerina M. | 1 |
Maris, Gunter | 1 |
Pusic, Martin | 1 |
Raykov, Tenko | 1 |
Schmittmann, Verena D. | 1 |
Publication Type
Journal Articles | 3 |
Reports - Evaluative | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Raykov, Tenko; Marcoulides, George A.; Pusic, Martin – Measurement: Interdisciplinary Research and Perspectives, 2021
An interval estimation procedure is discussed that can be used to evaluate the probability of a particular response for a binary or binary scored item at a pre-specified point along an underlying latent continuum. The item is assumed to: (a) be part of a unidimensional multi-component measuring instrument that may contain also polytomous items,…
Descriptors: Item Response Theory, Computation, Probability, Test Items
Marcoulides, Katerina M. – Measurement: Interdisciplinary Research and Perspectives, 2019
Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of…
Descriptors: Reliability, Longitudinal Studies, Growth Models, Structural Equation Models
Maris, Gunter; Schmittmann, Verena D.; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2010
Test equating under the NEAT design is, at best, a necessary evil. At bottom, the procedure aims to reach a conclusion on what a tested person would have done, if he or she were administered a set of items that were in fact never administered. It is not possible to infer such a conclusion from the data, because one simply has not made the required…
Descriptors: Equated Scores, Inferences, Item Response Theory, Error of Measurement