Educational Measurement and Assessment

Course (3 credits/ course) Description
Advanced Statistics for Educational Assessment The course aimed at strengthening students’ statistical skills in the various areas of educational assessment where statistical methodologies are frequently applied.  Students will develop competence in advanced statistical models and techniques such as factor analysis, analysis of variance, multiple regression, etc.
Applying Multilevel Models to Education Assessment Data collected for accountability purposes often involve nested or hierarchical data structure.  This course aims to study the application of multilevel modelling for educational assessment and to enable candidates to analyse data requiring such model structure.
Rasch Measurement for Education Research I: Scale Building Rasch measurement provides for the construction of interval level measurement scales of key educational research variables. This provides a sound theoretical basis for the monitoring of data collection, analysis of those data and the interpretation of the results. Topics include Rasch’s simple logistic model and its developments as the Partial Credit Model, the Rating Scale Model. Data analysis and interpretation will focus on the theory / practice nexus.
Rasch Measurement for Education Research II: Advanced Methods Given that educational assessment implicitly requires that measures of student achievements remain invariant across all appropriate assessment contexts, advanced methods in Rasch measurement will be used to monitor the invariance of item functioning, person performances and examiner severity. The module will emphasise how Rasch maps can be used to provide user-friendly feedback in educational settings in order that assessment can guide both teaching and learning.