Bo Zhang Bo Zhang
Biographic Data
| ID | 8903524 |
|---|---|
| NAME | Bo Zhang Bo Zhang |
| GIVEN NAMES | Bo Zhang Bo |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG B Z B |
| AFFILIATIONS | University of Wisconsin–Milwaukee |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2010 |
| H-INDEX | 0 |
Assessing the accuracy and consistency of language proficiency classification under competing measurement models
This article investigates how measurement models and statistical procedures can be applied to estimate the accuracy of proficiency classification in language testing. The paper starts with a concise introduction of four measurement models: the classical test theory (CTT) model, the dichotomous item response theory (IRT) model, the testlet response theory (TRT) model, and the polytomous item response theory (Poly-IRT) model. Following this, two cl…
Evaluating Item Fit for Multidimensional Item Response Models
This research examines the utility of the s - χ 2 statistic proposed by Orlando and Thissen (2000) in evaluating item fit for multidimensional item response models. Monte Carlo simulation was conducted to investigate both the Type I error and statistical power of this fit statistic in analyzing two kinds of multidimensional test structures: approximate simple structure and complex structure. Overall, results show that this statistic is capable of…
No prominent works on this page.
Evaluating Item Fit for Multidimensional Item Response Models
This research examines the utility of the s - χ 2 statistic proposed by Orlando and Thissen (2000) in evaluating item fit for multidimensional item response models. Monte Carlo simulation was conducted to investigate both the Type I error and statistical power of this fit statistic in analyzing two kinds of multidimensional test structures: approximate simple structure and complex structure. Overall, results show that this statistic is capable of…
Assessing the accuracy and consistency of language proficiency classification under competing measurement models
This article investigates how measurement models and statistical procedures can be applied to estimate the accuracy of proficiency classification in language testing. The paper starts with a concise introduction of four measurement models: the classical test theory (CTT) model, the dichotomous item response theory (IRT) model, the testlet response theory (TRT) model, and the polytomous item response theory (Poly-IRT) model. Following this, two cl…
Computer Science (2 works) · Item response theory (2 works) · Mathematics (2 works) · Psychometric Methodologies and Testing (2 works) · Psychometrics (2 works) · Statistics (2 works) · Advanced Statistical Modeling Techniques (1 work) · Artificial Intelligence (1 work) · Classical test theory (1 work) · Econometrics (1 work)