||This unit introduces students to advanced principles of Rasch measurement theory in the social sciences. It is a follow-up to EDUC5638 Introduction to Classical and Rasch Measurement Theories (formerly EDUC8638 Introduction to Rasch Measurement of Modern Test Theory). Topics include fundamental measurement, elementary discrete probability distribution theory, Dichotomous Rasch Model (review of principles; multiple-choice items and guessing), Polytomous Rasch Model, differential item functioning (DIF), fit of responses to the model (analysis of residuals), violations of the assumption of independence (multidimensionality and response dependence, estimating the degree of dependence), analysis of more than two facets, and reporting a Rasch analysis. The unit is delivered entirely online and students study at their own pace. Students receive (1) the study guide, (2) a set of lecture materials, (3) details of the assignments, and (4) selected readings. Students and staff participate in online discussions.|
||Students are able to (1) explain different approaches to measurement including the traditional and modern approaches; (2) explain advanced principles of Rasch measurement theory in the social sciences; (3) use a range of diagnostic tests in order to assess the quality of achievement, knowledge and attitude; (4) write up a Rasch analysis for publication; and (5) apply specialised software in analysing assessment and attitude data.|
||This comprises seven assignments (total 55 per cent) and one major project (45 per cent). Supplementary assessment is not available in this unit.|
Supplementary assessment is not available in this unit.
||Professor David Andrich and Dr Ida Marais|
|Prerequisites: EDUC5638 Introduction to Classical and Rasch Measurement Theories (formerly EDUC8638 Introduction to Rasch Measurement of Modern Test Theory)|
||vary widely depending on student's prior knowledge of statistics, mathematics and the software used|
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