Panel Data Analysis
Date:
28/04/2015 - 29/04/2015
Organised by:
University of Manchester
Presenter:
Dr Maria Pampaka and Professor Julian Williams
Level:
Intermediate (some prior knowledge)
Contact:
Short Courses Administrator; cmist-courses@manchester.ac.uk
Map:
View in Google Maps (M13 9PL)
Venue:
The University of Manchester, Manchester M13 9PL
Humanities Bridgeford Building.
Description:
Outline
This short course covers the basic theory behind measurement, from an Item Response Theory perspective, focusing on the assumptions of the Rasch models in particular.
The Rasch model provides the means to create measures (or score scales) from a combination of items in tests or surveys. The principles governing the application of such models are shown through examples from educational measurement but are easily applicable to other areas in social and health sciences.
Participants will have the chance to practice with various models of the Rasch family (Dichotomous, Rating Scale and Partial Credit) with specialised software (Winsteps) as well as other packages available in R.
The course will be of interest to researchers and practitioners involved, among others with educational measurement, measurement of satisfaction for evaluation, tests of skills, knowledge and other cognitive outcomes, attitudinal scales, and measures of dispositions.
Objectives
This two-day course aims to introduce participants to measurement theory and the Rasch model for measures construction and validation. Participants will get hands on experience with analysis and interpretation of the Dichotomous, Partial Credit and Rating Scale Rasch models, with specialised software as well as packages freely available in R.
Provisional Syllabus
Day 1: Measurement Theory and the Dichotomous Rasch Model
Morning: Measurement Theory and the Rasch model: assumptions and uses
Afternoon: The Dichotomous Rasch model, which is mainly appropriate for test items (or other instruments with binary responses. Theory and examples will be followed by a practical session.
Day 2: Rating Scale and Partial Credit Model
Morning: The Rating Scale Model, which is appropriate for Likert type items (including a practical session).
Afternoon: The Partial Credit Model, which allows for items with different number of response categories to be analysed together (practical session). Participants can also bring their own datasets and problems to analyse.
Prerequisites
Participants should have some basic knowledge of introductory statistics. Some familiarity or previous experience with syntax (commands) in statistical packages will also be useful.
Recommended reading
Bond, T.G., and Fox, C.M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences. Hillsdale, NJ: Lawrence Erlbaum Associates Inc.
Cost:
£390 (£280 for those from educational and charitable institutions)
Website and registration:
Region:
North West
Keywords:
Sampling
Related publications and presentations: