Sijia Huang
Biographic Data
| ID | 4024187 |
|---|---|
| NAME | Sijia Huang |
| GIVEN NAMES | Sijia |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG S |
| AFFILIATIONS | Indiana University Bloomington |
| ORCID | 0000-0001-9598-6949 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A comparison of three approaches for clustering polytomous data in the presence of masking variables
To uncover the heterogeneity in a population, it is common yet important to partition individuals into distinct subgroups based on their responses to items in measurement tools. Various approaches have been introduced to tackle this clustering problem in psychology and education. To provide more guidance to practitioners, in this study, we compareD the performance of three widely-applied approaches, including the latent class analysis (LCA), k -m…
On the Complex Sources of Differential Item Functioning
Differential item functioning (DIF) has been a long-standing problem in educational and psychological measurement. In practice, the source from which DIF originates can be complex in the sense that an item can show DIF on multiple background variables of different types simultaneously. Although a variety of non-item response theory-(IRT)-based and IRT-based DIF detection methods have been introduced, they do not sufficiently address the issue of …
Detecting differential item functioning in presence of multilevel data
Assessment practices are, among other things, concerned with issues of fairness and appropriate score interpretation, in particular when making claims about subgroup differences in performance are of interest. In order to make such claims, a psychometric concept of measurement invariance or differential item functioning (DIF) ought to be considered and met. Over the last decades, researchers have proposed and developed a plethora of methods aimed…
Wald χ 2 Test for Differential Item Functioning Detection with Polytomous Items in Multilevel Data
Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord’s Wald [Formula: see text] test-based procedure for detecting both uniform and non-uniform DIF with polytomous items in the presence of the ub…
Approaches to Item-Level Data with Cross-Classified Structure
Student evaluation of teaching (SET) questionnaires are ubiquitously applied in higher education institutions in North America for both formative and summative purposes. Data collected from SET questionnaires are usually item-level data with cross-classified structure, which are characterized by multivariate categorical outcomes (i.e., multiple Likert-type items in the questionnaires) and cross-classified structure (i.e., non-nested students and …
An Explanatory Multidimensional Random Item Effects Rating Scale Model
Random item effects item response theory (IRT) models, which treat both person and item effects as random, have received much attention for more than a decade. The random item effects approach has several advantages in many practical settings. The present study introduced an explanatory multidimensional random item effects rating scale model. The proposed model was formulated under a novel parameterization of the nominal response model (NRM), and…
A random item effects generalized partial credit model with a multiple imputation-based scoring procedure
Actual and Desired Masturbation Frequency, Sexual Distress, and Their Correlates
A Practical Guide to Causal Mediation Analysis
Experimental and quasi-experimental designs have been increasingly employed in education. Mediation analysis has long been used to measure the role of mediators. Causal mediation analysis provides a modern approach to evaluate potential causal roles of mediators. Compared with conventional mediation analysis, causal mediation analysis has several advantages, e.g., by enabling us to evaluate necessary assumptions to establish a valid causal role o…
Improving Standard Error Estimates in Multistage Estimation
"Improving Standard Error Estimates in Multistage Estimation: A Multiple Imputation (MI) Based Approach." Multivariate Behavioral Research, 54(1), p. 154
No prominent works on this page.
Improving Standard Error Estimates in Multistage Estimation
"Improving Standard Error Estimates in Multistage Estimation: A Multiple Imputation (MI) Based Approach." Multivariate Behavioral Research, 54(1), p. 154
A Practical Guide to Causal Mediation Analysis
Experimental and quasi-experimental designs have been increasingly employed in education. Mediation analysis has long been used to measure the role of mediators. Causal mediation analysis provides a modern approach to evaluate potential causal roles of mediators. Compared with conventional mediation analysis, causal mediation analysis has several advantages, e.g., by enabling us to evaluate necessary assumptions to establish a valid causal role o…
An Explanatory Multidimensional Random Item Effects Rating Scale Model
Random item effects item response theory (IRT) models, which treat both person and item effects as random, have received much attention for more than a decade. The random item effects approach has several advantages in many practical settings. The present study introduced an explanatory multidimensional random item effects rating scale model. The proposed model was formulated under a novel parameterization of the nominal response model (NRM), and…
A random item effects generalized partial credit model with a multiple imputation-based scoring procedure
Actual and Desired Masturbation Frequency, Sexual Distress, and Their Correlates
Detecting differential item functioning in presence of multilevel data
Assessment practices are, among other things, concerned with issues of fairness and appropriate score interpretation, in particular when making claims about subgroup differences in performance are of interest. In order to make such claims, a psychometric concept of measurement invariance or differential item functioning (DIF) ought to be considered and met. Over the last decades, researchers have proposed and developed a plethora of methods aimed…
Wald χ 2 Test for Differential Item Functioning Detection with Polytomous Items in Multilevel Data
Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord’s Wald [Formula: see text] test-based procedure for detecting both uniform and non-uniform DIF with polytomous items in the presence of the ub…
Approaches to Item-Level Data with Cross-Classified Structure
Student evaluation of teaching (SET) questionnaires are ubiquitously applied in higher education institutions in North America for both formative and summative purposes. Data collected from SET questionnaires are usually item-level data with cross-classified structure, which are characterized by multivariate categorical outcomes (i.e., multiple Likert-type items in the questionnaires) and cross-classified structure (i.e., non-nested students and …
A comparison of three approaches for clustering polytomous data in the presence of masking variables
To uncover the heterogeneity in a population, it is common yet important to partition individuals into distinct subgroups based on their responses to items in measurement tools. Various approaches have been introduced to tackle this clustering problem in psychology and education. To provide more guidance to practitioners, in this study, we compareD the performance of three widely-applied approaches, including the latent class analysis (LCA), k -m…
On the Complex Sources of Differential Item Functioning
Differential item functioning (DIF) has been a long-standing problem in educational and psychological measurement. In practice, the source from which DIF originates can be complex in the sense that an item can show DIF on multiple background variables of different types simultaneously. Although a variety of non-item response theory-(IRT)-based and IRT-based DIF detection methods have been introduced, they do not sufficiently address the issue of …
Psychometric Methodologies and Testing (8 works) · Computer Science (7 works) · Mathematics (7 works) · Item response theory (6 works) · Psychology (6 works) · Statistics (6 works) · Data mining (5 works) · Psychometrics (5 works) · Econometrics (4 works) · Differential item functioning (3 works)