Wen‐chung Wang
Datos Biográficos
| ID | 4889954 |
|---|---|
| NOMBRE | Wen‐chung Wang |
| NOMBRES | Wen‐chung |
| APELLIDO | Wang |
| FIRMA | WANG W C |
| AFILIACIONES | Education University of Hong Kong |
| ORCID | 0000-0001-6022-1567 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 29 |
| TOTAL DE CITAS | 1 |
| TOTAL COMO AUTOR | 29 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1983 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 1 |
An Iterative Scale Purification Procedure on l z for the Detection of Aberrant Responses
Many person-fit statistics have been proposed to detect aberrant response behaviors (e.g., cheating, guessing). Among them, lz is one of the most widely used indices. The computation of lz assumes the item and person parameters are known. In reality, they often have to be estimated from data. The better the estimation, the better lz will perform. When aberrant behaviors occur, the person and item parameter estimations are inaccurate, which in tur…
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…
Assessing Instructional Leadership with the Principal Instructional Management Rating Scale
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…
Multilevel Higher-Order Item Response Theory Models
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The freeware WinBUGS was used for parameter estimation. A series of simulations were conducted to evaluate t…
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…
Relationships among teacher support, peer conflict resolution, and school emotional experiences in adolescents from Shanghai
We investigated the relationships among teacher support, peer conflict resolution, and emotional experiences at school in 2,782 students from 12 secondary schools in Shanghai, China. The results demonstrated that: a) most of the students had positive perceptions of teacher support, effective peer conflict resolution, happiness, and communication satisfaction in school context; b) males used more negative peer conflict resolution strategies than d…
Quantitative Psychology Research
The 78th Annual Meeting of the Psychometric Society (IMPS) builds on the Psychometric Society's mission to share quantitative methods relevant to psychology. The chapters of this volume present cutting-edge work in the field. Topics include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Additional psychometric topics relate to structural equation modeling, factor analysis,…
Higher Order Testlet Response Models for Hierarchical Latent Traits and Testlet-Based Items
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian approach implemented in the WinBUGS freeware for parameter estimation. A series of simulations were co…
A Multidimensional and Multilevel Extension of a Random-Effect Approach to Subjective Judgment in Rating Scales
In responding to rating scale items, respondents may hold different perspectives on the given categories. The random-effect rating scale model (RERSM), developed to account for variations in the category thresholds across respondents, is unidimensional and unilevel. It becomes statistically inefficient when multiple unidimensional tests have to be analyzed and inapplicable when data have a multilevel structure (e.g., respondents nested within org…
Chinese parental perceptions of weight and associated health risks of young children
A mixed method was employed to determine how caregivers view preschool children's body size and associated health risks. A survey of 505 caregivers was nested in 10 in-depth case studies of mothers. Based on the International Obesity Task Force calculation of children's weight status, the caregivers who had underweight children overestimated their children's weight status but the caregivers who had overweight/obese children underestimated their c…
The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning
The DIF-free-then-DIF (DFTD) strategy consists of two steps: (a) select a set of items that are the most likely to be DIF-free and (b) assess the other items for DIF (differential item functioning) using the designated items as anchors. The rank-based method together with the computer software IRTLRDIF can select a set of DIF-free polytomous items very accurately, but it loses accuracy when tests contain many DIF items. To resolve this problem, t…
Computerized Classification Testing Under the Generalized Graded Unfolding Model
The generalized graded unfolding model (GGUM) has been recently developed to describe item responses to Likert items (agree—disagree) in attitude measurement. In this study, the authors (a) developed two item selection methods in computerized classification testing under the GGUM, the current estimate/ability confidence interval method and the cut score/sequential probability ratio test method and (b) evaluated their accuracy and efficiency in cl…
Computerized Classification Testing Under the One-Parameter Logistic Response Model With Ability-Based Guessing
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their performances. Four item selection methods (the Fisher information, the Fisher information with a posterior dist…
Checking Dimensionality in Item Response Models With Principal Component Analysis on Standardized Residuals
Dimensionality is an important assumption in item response theory (IRT). Principal component analysis on standardized residuals has been used to check dimensionality, especially under the family of Rasch models. It has been suggested that an eigenvalue greater than 1.5 for the first eigenvalue signifies a violation of unidimensionality when there are 500 persons and 30 items. The cut-point of 1.5 is often used beyond this specific condition of sa…
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…
The MIMIC Method With Scale Purification for Detecting Differential Item Functioning
This study implements a scale purification procedure onto the standard MIMIC method for differential item functioning (DIF) detection and assesses its performance through a series of simulations. It is found that the MIMIC method with scale purification (denoted as M-SP) outperforms the standard MIMIC method (denoted as M-ST) in controlling false-positive rates and yielding higher true-positive rates. Only when the DIF pattern is balanced between…
Multidimensional Rasch Analysis of a Psychological Test With Multiple Subtests
Educational and psychological tests are often composed of multiple short subtests, each measuring a distinct latent trait. Unfortunately, short subtests suffer from low measurement precision, which makes the bandwidth—fidelity dilemma inevitable. In this study, the authors demonstrate how a multidimensional Rasch analysis can be employed to take into account the information about the correlation between latent traits such that the precision of ea…
Formulation and Application of the Generalized Multilevel Facets Model
In this study, the authors develop a generalized multilevel facets model, which is not only a multilevel and two-parameter generalization of the facets model, but also a multilevel and facet generalization of the generalized partial credit model. Because the new model is formulated within a framework of nonlinear mixed models, no efforts are needed to develop parameter estimation procedures, and existing computer programs can be directly applied.…
Validating, Improving Reliability, and Estimating Correlation of the Four Subscales in the WHOQOL-BREF using Multidimensional Rasch Analysis
Assessment of Differential Item Functioning in Testlet-Based Items Using the Rasch Testlet Model
This study presents a procedure for detecting differential item functioning (DIF) for dichotomous and polytomous items in testlet-based tests, whereby DIF is taken into account by adding DIF parameters into the Rasch testlet model. Simulations were conducted to assess recovery of the DIF and other parameters. Two independent variables, test type and anchor item method, were manipulated. The proportion of DIF items in the tests was set at approxim…
Item Parameter Recovery, Standard Error Estimates, and Fit Statistics of the Winsteps Program for the Family of Rasch Models
This study investigates item parameter recovery, standard error estimates, and fit statistics yielded by the WINSTEPS program under the Rasch model and the rating scale model through Monte Carlo simulations. The independent variables were item response model, test length, and sample size. WINSTEPS yielded practically unbiased estimates for the difficulty parameters under the Rasch model and the overall difficulty parameters under the rating scale…
Local Item Dependence for Items Across Tests Connected by Common Stimuli
A parallel design, in which items across different scales within an instrument share common stimuli and subjects respond to the common stimulus for each scale, is sometimes used in questionnaires or inventories. Because the items across scales share the same stimuli, the assumption of local item independence may not hold, thereby violating the assumption of local item independence under standard psychometric models. In this study, the authors des…
A Rasch Analysis of a Self-perceived Change in Quality of Life Scale in Patients with Mild Stroke
Direct Estimation of Correlation as a Measure of Association Strength Using Multidimensional Item Response Models
The Pearson correlation is used to depict effect sizes in the context of item response theory. Amultidimensional Rasch model is used to directly estimate the correlation between latent traits. Monte Carlo simulations were conducted to investigate whether the population correlation could be accurately estimated and whether the bootstrap method provided a good approximation of the distribution of the sample correlation. The independent variables we…
Chinese parental perceptions of weight and associated health risks of young children
A mixed method was employed to determine how caregivers view preschool children's body size and associated health risks. A survey of 505 caregivers was nested in 10 in-depth case studies of mothers. Based on the International Obesity Task Force calculation of children's weight status, the caregivers who had underweight children overestimated their children's weight status but the caregivers who had overweight/obese children underestimated their c…
Laboratory Experiments in Surface Acoustic Wave Devices and Their Applications
This project relates to the development of three novel laboratory experiments for electrical engineering seniors enrolled at the Polytechnic Institute of New York introducing them to surface acoustic wave (SAW) devices and their applications. Major developments in this new technology have taken place during the past decade. SAW devices now play a significant role in the signal processing area and industries' strong interest in this new technology…
The Multidimensional Random Coefficients Multinomial Logit Model
A multidimensional Rasch-type item response model, the multidimensional random coefficients multinomial logit model, is presented as an extension to the Adams & Wilson (1996) random coefficients multinomial logit model. The model is developed in a form that permits generalization to the multidimensional case of a wide class of Rasch models, including the simple logistic model, Masters' partial credit model, Wilson's ordered partition model, and F…
Direct Estimation of Correlation as a Measure of Association Strength Using Multidimensional Item Response Models
The Pearson correlation is used to depict effect sizes in the context of item response theory. Amultidimensional Rasch model is used to directly estimate the correlation between latent traits. Monte Carlo simulations were conducted to investigate whether the population correlation could be accurately estimated and whether the bootstrap method provided a good approximation of the distribution of the sample correlation. The independent variables we…
The Standardized Mean Difference within the Framework of Item Response Theory
As item response theory (IRT) becomes popular in educational and psychological testing, there is a need of reporting IRT-based effect size measures. In this study, we show how the standardized mean difference can be generalized into such a measure. A disattenuation procedure based on the IRT test reliability is proposed to correct the attenuation on the sampling variance due to measurement error. Simulations were conducted to investigate whether …
Gain Score in Item Response Theory as an Effect Size Measure
Because of the requirement of reporting effect sizes and in the interest of measurement of change within the item response theory framework, their combination becomes a new issue. In the present study, repeated measures are decomposed as an initial ability and one or more modifiabilities (gain score) using a multidimensional Rasch model. The modifiability can be directly interpreted in terms of logit scale. The standardized mean modifiability is …
Assessment of Differential Item Functioning in Testlet-Based Items Using the Rasch Testlet Model
This study presents a procedure for detecting differential item functioning (DIF) for dichotomous and polytomous items in testlet-based tests, whereby DIF is taken into account by adding DIF parameters into the Rasch testlet model. Simulations were conducted to assess recovery of the DIF and other parameters. Two independent variables, test type and anchor item method, were manipulated. The proportion of DIF items in the tests was set at approxim…
Item Parameter Recovery, Standard Error Estimates, and Fit Statistics of the Winsteps Program for the Family of Rasch Models
This study investigates item parameter recovery, standard error estimates, and fit statistics yielded by the WINSTEPS program under the Rasch model and the rating scale model through Monte Carlo simulations. The independent variables were item response model, test length, and sample size. WINSTEPS yielded practically unbiased estimates for the difficulty parameters under the Rasch model and the overall difficulty parameters under the rating scale…
Local Item Dependence for Items Across Tests Connected by Common Stimuli
A parallel design, in which items across different scales within an instrument share common stimuli and subjects respond to the common stimulus for each scale, is sometimes used in questionnaires or inventories. Because the items across scales share the same stimuli, the assumption of local item independence may not hold, thereby violating the assumption of local item independence under standard psychometric models. In this study, the authors des…
A Rasch Analysis of a Self-perceived Change in Quality of Life Scale in Patients with Mild Stroke
Validating, Improving Reliability, and Estimating Correlation of the Four Subscales in the WHOQOL-BREF using Multidimensional Rasch Analysis
Formulation and Application of the Generalized Multilevel Facets Model
In this study, the authors develop a generalized multilevel facets model, which is not only a multilevel and two-parameter generalization of the facets model, but also a multilevel and facet generalization of the generalized partial credit model. Because the new model is formulated within a framework of nonlinear mixed models, no efforts are needed to develop parameter estimation procedures, and existing computer programs can be directly applied.…
Multidimensional Rasch Analysis of a Psychological Test With Multiple Subtests
Educational and psychological tests are often composed of multiple short subtests, each measuring a distinct latent trait. Unfortunately, short subtests suffer from low measurement precision, which makes the bandwidth—fidelity dilemma inevitable. In this study, the authors demonstrate how a multidimensional Rasch analysis can be employed to take into account the information about the correlation between latent traits such that the precision of ea…
The MIMIC Method With Scale Purification for Detecting Differential Item Functioning
This study implements a scale purification procedure onto the standard MIMIC method for differential item functioning (DIF) detection and assesses its performance through a series of simulations. It is found that the MIMIC method with scale purification (denoted as M-SP) outperforms the standard MIMIC method (denoted as M-ST) in controlling false-positive rates and yielding higher true-positive rates. Only when the DIF pattern is balanced between…
Checking Dimensionality in Item Response Models With Principal Component Analysis on Standardized Residuals
Dimensionality is an important assumption in item response theory (IRT). Principal component analysis on standardized residuals has been used to check dimensionality, especially under the family of Rasch models. It has been suggested that an eigenvalue greater than 1.5 for the first eigenvalue signifies a violation of unidimensionality when there are 500 persons and 30 items. The cut-point of 1.5 is often used beyond this specific condition of sa…
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…
Computerized Classification Testing Under the Generalized Graded Unfolding Model
The generalized graded unfolding model (GGUM) has been recently developed to describe item responses to Likert items (agree—disagree) in attitude measurement. In this study, the authors (a) developed two item selection methods in computerized classification testing under the GGUM, the current estimate/ability confidence interval method and the cut score/sequential probability ratio test method and (b) evaluated their accuracy and efficiency in cl…
Computerized Classification Testing Under the One-Parameter Logistic Response Model With Ability-Based Guessing
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their performances. Four item selection methods (the Fisher information, the Fisher information with a posterior dist…
The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning
The DIF-free-then-DIF (DFTD) strategy consists of two steps: (a) select a set of items that are the most likely to be DIF-free and (b) assess the other items for DIF (differential item functioning) using the designated items as anchors. The rank-based method together with the computer software IRTLRDIF can select a set of DIF-free polytomous items very accurately, but it loses accuracy when tests contain many DIF items. To resolve this problem, t…
Higher Order Testlet Response Models for Hierarchical Latent Traits and Testlet-Based Items
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian approach implemented in the WinBUGS freeware for parameter estimation. A series of simulations were co…
A Multidimensional and Multilevel Extension of a Random-Effect Approach to Subjective Judgment in Rating Scales
In responding to rating scale items, respondents may hold different perspectives on the given categories. The random-effect rating scale model (RERSM), developed to account for variations in the category thresholds across respondents, is unidimensional and unilevel. It becomes statistically inefficient when multiple unidimensional tests have to be analyzed and inapplicable when data have a multilevel structure (e.g., respondents nested within org…
Chinese parental perceptions of weight and associated health risks of young children
A mixed method was employed to determine how caregivers view preschool children's body size and associated health risks. A survey of 505 caregivers was nested in 10 in-depth case studies of mothers. Based on the International Obesity Task Force calculation of children's weight status, the caregivers who had underweight children overestimated their children's weight status but the caregivers who had overweight/obese children underestimated their c…
Multilevel Higher-Order Item Response Theory Models
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The freeware WinBUGS was used for parameter estimation. A series of simulations were conducted to evaluate t…
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…
Relationships among teacher support, peer conflict resolution, and school emotional experiences in adolescents from Shanghai
We investigated the relationships among teacher support, peer conflict resolution, and emotional experiences at school in 2,782 students from 12 secondary schools in Shanghai, China. The results demonstrated that: a) most of the students had positive perceptions of teacher support, effective peer conflict resolution, happiness, and communication satisfaction in school context; b) males used more negative peer conflict resolution strategies than d…
Quantitative Psychology Research
The 78th Annual Meeting of the Psychometric Society (IMPS) builds on the Psychometric Society's mission to share quantitative methods relevant to psychology. The chapters of this volume present cutting-edge work in the field. Topics include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Additional psychometric topics relate to structural equation modeling, factor analysis,…
Mathematics (23 obras) · Statistics (23 obras) · Item response theory (22 obras) · Psychometric Methodologies and Testing (22 obras) · Psychometrics (22 obras) · Psychology (19 obras) · Computer Science (17 obras) · Advanced Statistical Modeling Techniques (16 obras) · Econometrics (14 obras) · Rasch model (9 obras)