Course overview
This course aims to prepare students to select, employ and interpret appropriate procedures for analysing quantitative data. The course concentrates on understanding and using advanced statistical procedures including simple and multiple regression, path analysis, factor analysis, cluster analysis, partial least squares path analysis, and structural equation modelling. In addition, the problems of multilevel analysis are examined, and an understanding and experience in hierarchical linear modelling is provided for studies of growth and school and classroom effects. The implications of choosing a particular multivariate analytical procedure for the design of quantitative research studies in the social and behavioural sciences are considered.
- Multivariate & Multilevel Analysis
- Regression & Factor Analysis
- Advanced Modelling Approaches
Course learning outcomes
- Comprehend the procedures for collecting, storing and preparing data in educational research
- Understand the underlying concepts for analysis of multivariate and multilevel data and be able to determine an appropriate statistical test to answer a hypothesis
- Demonstrate their competence and confidence in using computer-based procedures for statistical analysis and communicate the findings in multiple formats to different stakeholders