Kuan-Yu Jin
Biographic Data
| ID | 8867693 |
|---|---|
| NAME | Kuan-Yu Jin |
| GIVEN NAMES | Kuan-Yu |
| FAMILY NAME | Jin |
| SIGNATURE | JIN K |
| AFFILIATIONS | The Hong Kong Institute of Education, Hong Kong SAR |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Measuring digital literacy across three age cohorts
Assessment of Differential Rater Functioning in Latent Classes with New Mixture Facets Models
Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred…
Item Response Theory Models for Wording Effects in Mixed-Format Scales
Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to test the assumption of reverse coding and evaluate the magnitude of the wording effect. The parameters o…
Generalized IRT Models for Extreme Response Style
Extreme response style (ERS) is a systematic tendency for a person to endorse extreme options (e.g., strongly disagree, strongly agree) on Likert-type or rating-scale items. In this study, we develop a new class of item response theory (IRT) models to account for ERS so that the target latent trait is free from the response style and the tendency of ERS is quantified. Parameters of these new models can be estimated with marginal maximum likelihoo…
A Generalized Model With Internal Restrictions on Item Difficulty for Polytomous Items
In this study, the authors extend the standard item response model with internal restrictions on item difficulty (MIRID) to fit polytomous items using cumulative logits and adjacent-category logits. Moreover, the new model incorporates discrimination parameters and is rooted in a multilevel framework. It is a nonlinear mixed model so that existing parameter estimation procedures and computer packages for nonlinear mixed models can be directly ado…
No prominent works on this page.
A Generalized Model With Internal Restrictions on Item Difficulty for Polytomous Items
In this study, the authors extend the standard item response model with internal restrictions on item difficulty (MIRID) to fit polytomous items using cumulative logits and adjacent-category logits. Moreover, the new model incorporates discrimination parameters and is rooted in a multilevel framework. It is a nonlinear mixed model so that existing parameter estimation procedures and computer packages for nonlinear mixed models can be directly ado…
Generalized IRT Models for Extreme Response Style
Extreme response style (ERS) is a systematic tendency for a person to endorse extreme options (e.g., strongly disagree, strongly agree) on Likert-type or rating-scale items. In this study, we develop a new class of item response theory (IRT) models to account for ERS so that the target latent trait is free from the response style and the tendency of ERS is quantified. Parameters of these new models can be estimated with marginal maximum likelihoo…
Item Response Theory Models for Wording Effects in Mixed-Format Scales
Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to test the assumption of reverse coding and evaluate the magnitude of the wording effect. The parameters o…
Assessment of Differential Rater Functioning in Latent Classes with New Mixture Facets Models
Multifaceted data are very common in the human sciences. For example, test takers' responses to essay items are marked by raters. If multifaceted data are analyzed with standard facets models, it is assumed there is no interaction between facets. In reality, an interaction between facets can occur, referred to as differential facet functioning. A special case of differential facet functioning is the interaction between ratees and raters, referred…
Measuring digital literacy across three age cohorts
Computer Science (4 works) · Item response theory (4 works) · Mathematics (4 works) · Psychology (4 works) · Psychometric Methodologies and Testing (4 works) · Psychometrics (4 works) · Statistics (4 works) · Artificial Intelligence (3 works) · Econometrics (3 works) · Advanced Statistical Modeling Techniques (2 works)