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The asymptotic posterior normality of the latent trait for polytomous IRT models

Chang, Hua-Hua - In: Psychometrika 61 (1996) 3, pp. 445-463

Persistent link: https://www.econbiz.de/10005381682

The unique correspondence of the item response function and item category response functions in polytomously scored item response models

Chang, Hua-Hua; Mazzeo, John - In: Psychometrika 59 (1994) 3, pp. 391-404

Persistent link: https://www.econbiz.de/10005184198

The asymptotic posterior normality of the latent trait in an IRT model

Chang, Hua-Hua; Stout, William - In: Psychometrika 58 (1993) 1, pp. 37-52

Persistent link: https://www.econbiz.de/10005603556

Modeling Polytomous Item Responses Using Simultaneously Estimated Multinomial Logistic Regression Models

Anderson, Carolyn J.; Verkuilen, Jay; Peyton, Buddy L. - In: Journal of Educational and Behavioral Statistics 35 (2010) 4, pp. 422-452

Survey items with multiple response categories and multiple-choice test questions are ubiquitous in psychological and educational research. We illustrate the use of log-multiplicative association (LMA) models that are extensions of the well-known multinomial logistic regression model for...

Persistent link: https://www.econbiz.de/10011138716

On Holland's Dutch identity conjecture

Zhang, Jinming; Stout, William - In: Psychometrika 62 (1997) 3, pp. 375-392

Persistent link: https://www.econbiz.de/10005381870

The theoretical detect index of dimensionality and its application to approximate simple structure

Zhang, Jinming; Stout, William - In: Psychometrika 64 (1999) 2, pp. 213-249

Persistent link: https://www.econbiz.de/10005156195

Conditional covariance structure of generalized compensatory multidimensional items

Zhang, Jinming; Stout, William - In: Psychometrika 64 (1999) 2, pp. 129-152

Persistent link: https://www.econbiz.de/10005166446

The Impact of Variability of Item Parameter Estimators on Test Information Function

Zhang, Jinming - In: Journal of Educational and Behavioral Statistics 37 (2012) 6, pp. 737-757

The impact of uncertainty about item parameters on test information functions is investigated. The information function of a test is one of the most important tools in item response theory (IRT). Inaccuracy in the estimation of test information can have substantial consequences on data analyses...

Persistent link: https://www.econbiz.de/10010776018