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Approximations of Normal IRT Models for Change

Tan, E.S.; Ambergen, A.W.; Does, R.J.M.M.; Imbos, Tj. - In: Journal of Educational and Behavioral Statistics 24 (1999) 2, pp. 208-223

In this paper the one parameter Item Response Theory (IRT) model with normal Item Characteristic Curves (ICC) in …

Persistent link: https://www.econbiz.de/10010775982

Measuring the Strength of Teachers' Unions

Strunk, Katharine O.; Reardon, Sean F. - In: Journal of Educational and Behavioral Statistics 35 (2010) 6, pp. 629-670

The literature on teachers' unions is relatively silent about the role of union strength in affecting important outcomes, due in large part to the difficulty in measuring union strength. In this article, we illustrate a method for obtaining valid, reliable, and replicable measures of union...

Persistent link: https://www.econbiz.de/10010775994

A Quasi-Parametric Method for Fitting Flexible Item Response Functions

Liang, Longjuan; Browne, Michael W. - In: Journal of Educational and Behavioral Statistics 40 (2015) 1, pp. 5-34

If standard two-parameter item response functions are employed in the analysis of a test with some newly constructed items, it can be expected that, for some items, the item response function (IRF) will not fit the data well. This lack of fit can also occur when standard IRFs are fitted to...

Persistent link: https://www.econbiz.de/10011127533

A Note on the Equivalence Between Observed and Expected Information Functions With Polytomous IRT Models

Magis, David - In: Journal of Educational and Behavioral Statistics 40 (2015) 1, pp. 96-105

polytomous item response theory (IRT) models. It is established that observed and expected information functions are equivalent …). Yet, observed information function remains positive in both classes. Straightforward connections with dichotomous IRT …

Persistent link: https://www.econbiz.de/10011127534

Student, School, and Country Differences in Sustained Test-Taking Effort in the 2009 PISA Reading Assessment

Debeer, Dries; Buchholz, Janine; Hartig, Johannes; … - In: Journal of Educational and Behavioral Statistics 39 (2014) 6, pp. 502-523

In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from...

Persistent link: https://www.econbiz.de/10011099954

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

The Sequential Probability Ratio Test and Binary Item Response Models

Nydick, Steven W. - In: Journal of Educational and Behavioral Statistics 39 (2014) 3, pp. 203-230

The sequential probability ratio test (SPRT) is a common method for terminating item response theory (IRT … yielding optimal evidence for classification depend on the IRT model, item parameters, and location of an examinee with respect … and classification evidence in binary IRT models. Unlike earlier studies, we examine the form of the SPRT-based log …

Persistent link: https://www.econbiz.de/10010961395

Posterior Predictive Model Checking for Conjunctive Multidimensionality in Item Response Theory

Levy, Roy - In: Journal of Educational and Behavioral Statistics 36 (2011) 5, pp. 672-694

tools in the context of item response theory (IRT) for dichotomous observables, in which a unidimensional model is fit to …

Persistent link: https://www.econbiz.de/10010775987

The Generalized Multilevel Facets Model for Longitudinal Data

Hung, Lai-Fa; Wang, Wen-Chung - In: Journal of Educational and Behavioral Statistics 37 (2012) 2, pp. 231-255

In the human sciences, ability tests or psychological inventories are often repeatedly conducted to measure growth. Standard item response models do not take into account possible autocorrelation in longitudinal data. In this study, the authors propose an item response model to account for...

Persistent link: https://www.econbiz.de/10010775997

Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses

Patz, Richard J.; Junker, Brian W. - In: Journal of Educational and Behavioral Statistics 24 (1999) 4, pp. 342-366

-Hastings sampling, for Bayesian inference in complex item response theory (IRT) settings. They demonstrate the basic methodology using …, dichotomous short-response items, using a new IRT model called the generalized linear logistic test model (GLLTM). …

Persistent link: https://www.econbiz.de/10010775999