Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Bayesian Statistics | 3 |
| Models | 3 |
| Psychological Patterns | 3 |
| Simulation | 3 |
| Accuracy | 2 |
| Computation | 2 |
| Academic Achievement | 1 |
| Affective Behavior | 1 |
| Affective Measures | 1 |
| Astronomy | 1 |
| Behavior Change | 1 |
| More ▼ | |
Author
| Huang, Hung-Yu | 1 |
| Lunney, Tom | 1 |
| Mc Kevitt, Paul | 1 |
| Muñoz, Karla | 1 |
| Neri, Luis | 1 |
| Nesselroade, John R. | 1 |
| Noguez, Julieta | 1 |
| Zhang, Zhiyong | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 1 |
Audience
Location
| Mexico (Mexico City) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Huang, Hung-Yu – Educational and Psychological Measurement, 2023
The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…
Descriptors: Test Items, Classification, Bayesian Statistics, Decision Making
Muñoz, Karla; Noguez, Julieta; Neri, Luis; Mc Kevitt, Paul; Lunney, Tom – Educational Technology & Society, 2016
Game-based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining 1 and 2. These have proven…
Descriptors: Educational Games, Psychological Patterns, Models, Academic Achievement
Zhang, Zhiyong; Nesselroade, John R. – Multivariate Behavioral Research, 2007
Dynamic factor models have been used to analyze continuous time series behavioral data. We extend 2 main dynamic factor model variations--the direct autoregressive factor score (DAFS) model and the white noise factor score (WNFS) model--to categorical DAFS and WNFS models in the framework of the underlying variable method and illustrate them with…
Descriptors: Bayesian Statistics, Computation, Simulation, Behavioral Science Research

Peer reviewed
Direct link
