ConQuest software description

ConQuest is a computer program for fitting item response and latent regression models. It provides a comprehensive and flexible range of item response models to analysts, allowing them to examine the properties of performance assessments, traditional assessments and rating scales. ConQuest makes available the most up-to-date psychometric methods of multifaceted item response models, latent regression models, and drawing plausible values. It provides an integration of item response and regression analysis.

 

 

 

 

 

 

Which models can ConQuest handle?

* Rasch Simple Logistic Model
* Rating Scale Model
* Partial Credit Model
* Ordered Partition Model
* Linear Logistic Test Model
* Multifaceted Models
* Generalized Unidimensional Models
* Multidimensional Item Response Models
* Latent Regression Models

Fitting the models with ConQuest

ConQuest produces marginal maximum likelihood estimates for the parameters of the models. The estimation algorithms it uses are adaptations of the quadrature method described by Bock and Allen (1981) and the Monte Carlo method of Volodin and Adams (1995). The fit of the models is ascertained by generalizations of the Wright and Masters (1982) residual-based methods developed by Wu (1997). The manual contains a summary of these procedures.

Some examples of working with ConQuest

* Performing item analysis
* Examining differential item functioning
* Exploring rater effects
* Estimating latent correlations and testing dimensionality
* Drawing plausible values

ConQuest is available with both a graphical user interface (GUI) and a simple command line, or console, interface. The console version of the program is available for all of the ConQuest platforms except Windows 3.1x. The GUI version is available for all Windows platforms.

Ordering

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