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POLS0013 Measurements in Data Science - 3rd Year BSc Q-Step students only

Course Code: POLS0013

Course Tutor: Professor Ben Lauderdale (Department of Political Science)

Length: One term (Autumn Term)

Teaching: 30 contact hours

Assessment: One 3,000 word essay

Credits: 15 credits, 4 (US) 7.5 (ECTS) 

Module Level: L6 (Advanced)

data reduction techniques; structural equation modeling; multiple group analysis; latent class analysis; missing data

data reduction techniques; structural equation modeling; multiple group analysis; latent class analysis; missing data

About this course

This module is a third year core module for students enrolled on Q-Step programmes only, it cannot be taken by other students.

This course focuses on advanced analytical techniques that are routinely used in industry and academic research. The course builds on the material in the second year Data Analysis module and covers topics in latent variable modeling, structural equation modeling, data reduction techniques and approaches to dealing with missing data. Such measurement models are employed in survey analysis, sociological and demographic research, behavioural studies, assessments of the provision of services and policy evaluations, empirical-legal studies, and in fields as diverse as neuroscience to marketing. The course provides hands-on training in the application of these measurement models in real-world data analysis projects.