ConQuest

ConQuest is a computer program developed at the Australian Council for Educational Research (ACER) 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 also makes available, to the wider measurement and research community, the most up to date psychometric methods of multifaceted item response models, multidimensional item response models, latent regression models and drawing plausible values (= theta estimates with their error distributions).

What are the models that ConQuest can fit?

ConQuest brings together in a single program a wide variety of item response models (including multidimensional models) and provides an integration of item response and regression analysis.

Rasch's 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

How does ConQuest fit these models?

ConQuest produces marginal maximum likelihood MMLE estimates for the parameters of the models listed. The estimation algorithms used are adaptations of the quadrature method described by Bock and Aitken (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 that were developed by Wu (1997).

Some applications of ConQuest

Performing item analysis

Examining differential item functioning

Exploring rater effects

Estimating latent correlations

Testing dimensionality

Drawing plausible values

Demonstration versions can be downloaded from www.acer.edu.au/quest

Wu, M.L., Adams, R.J., and Wilson, M.R. (1997). ConQuest: Multi-Aspect Test Software, [computer program] Camberwell: Australian Council for Educational Research.

ACER ConQuest: Generalized Item Response Modelling Software … Rasch Measurement Transactions, 1999, 13:3 p. 711

Rasch Publications
Rasch Measurement Transactions (free, online)	Rasch Measurement research papers (free, online)	Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch	Applying the Rasch Model 3rd. Ed., Bond & Fox	Best Test Design, Wright & Stone
Rating Scale Analysis, Wright & Masters	Introduction to Rasch Measurement, E. Smith & R. Smith	Introduction to Many-Facet Rasch Measurement, Thomas Eckes	Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr.	Statistical Analyses for Language Testers, Rita Green
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar	Journal of Applied Measurement	Rasch models for measurement, David Andrich	Constructing Measures, Mark Wilson	Rasch Analysis in the Human Sciences, Boone, Stave, Yale
in Spanish:	Análisis de Rasch para todos, Agustín Tristán		Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez

Forum

Rasch Measurement Forum to discuss any Rasch-related topic

Go to Top of Page
Go to index of all Rasch Measurement Transactions
AERA members: Join the Rasch Measurement SIG and receive the printed version of RMT
Some back issues of RMT are available as bound volumes
Subscribe to Journal of Applied Measurement

Go to Institute for Objective Measurement Home Page. The Rasch Measurement SIG (AERA) thanks the Institute for Objective Measurement for inviting the publication of Rasch Measurement Transactions on the Institute's website, www.rasch.org.

The URL of this page is www.rasch.org/rmt/rmt133o.htm

Website: www.rasch.org/rmt/contents.htm