Subject: REMINDER: Masterclass - Introduction to item response analysis
using R 22-24 June Lancaster
THREE DAY MASTERCLASS:
INTRODUCTION TO ITEM RESPONSE THEORY USING R
Tutor: Dr David J. Hessen (Utrecht University)
Dates: 22-24 June 2010
Venue: Postgraduate Statistics Centre, Lancaster University
To book a place please go to:
http://shortcourses.maths.lancs.ac.uk/item_response_theory_using_r
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This workshop gives an introduction to Item Response Theory for use in
psychometric testing and construction of questionnaires, Quality of Life
instruments and other useful measurement instruments that require robust
psychometric properties. The types of questions used in measurement
scales represent a set of items that can take binary, categorical or
ordinal responses such as those measured on a likert scale. The aim of
the analysis may be to develop an instrument and identify and discard
redundant items, to validate the instrument and its sub-domains by
assessing its psychometric properties, or to use the items to estimate a
score for each person by means of an underlying latent variable such as
their 'ability' or 'intelligence' or 'quality of life'.
In contrast to factor analysis methods that require Normally distributed
response variables, item response models are used for discretely scored
items with ordered response categories. For dichotomously scored items,
the Rasch model, and the two- and three-parameter logistic models are
discussed. For polytomously scored items, the graded response model, the
partial credit model, the rating scale model, and the generalized
partial credit model are considered.
Topics include: estimation of item parameters, estimation of person
parameters, assessing goodness-of-fit of the models, the concept of
measurement invariance, obtaining and displaying item and test
information, principles of test construction, computerized adaptive
testing, and test equating. In addition, the practical sessions
demonstrate how each of the models can be applied using R.
THE INSTRUCTOR
David Hessen is an assistant professor in the Methods and Statistics
Department of the Faculty of Social Sciences at Utrecht University. His
main interest is in latent variable modelling and in particular item
response theory. He has published several articles in journals such as
Psychometrika, British Journal of Mathematical and Statistical
Psychology, Applied Psychological Measurement, and Journal of
Educational and Behavioral Statistics.
For any enquiries please contact: Angela Mercer, email
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