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) | 2 |
Descriptor
Author
| De Groot, Renate H. M. | 1 |
| Dixon, Roger A. | 1 |
| Hoogenhout, Esther M. | 1 |
| Jeon, Minjeong | 1 |
| Jolles, Jelle | 1 |
| Rabe-Hesketh, Sophia | 1 |
| Van der Elst, Wim | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Netherlands | 2 |
| South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJeon, Minjeong; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard model. An important class of models that can be…
Descriptors: Maximum Likelihood Statistics, Computation, Models, Factor Structure
Van der Elst, Wim; Hoogenhout, Esther M.; Dixon, Roger A.; De Groot, Renate H. M.; Jolles, Jelle – Assessment, 2011
The Memory Compensation Questionnaire (MCQ) is a psychometrically sound instrument that assesses the variety and extent to which an individual compensates for actual or perceived memory losses. Until now, only an English version of the MCQ has been psychometrically evaluated. The aim of the present study was to establish a Dutch version of the MCQ…
Descriptors: Test Validity, Factor Structure, Computer Software, Measures (Individuals)
