Course overview
This topic aims to prepare students to select and employ appropriate analytical procedures for the examination of data collected in surveys, quasi-experimental research studies and longitudinal studies as well as to draw appropriate conclusions and interpret the research findings from such studies. The course concentrates on an understanding of and on the use of the analytical procedures of linear regression, multiple regression, path analysis, factor analysis, cluster analysis, partial least squares path analysis, and structural equation modelling using SPSS, AMOS and MPlus. In addition, the problems of multilevel analysis are examined and an understanding and experience in the use of the analytical procedure of hierarchical linear modelling is provided both for studies of growth and of school and classroom effects. The HLM and MPlus programs are introduced as appropriate procedures for multilevel analysis. The implications of the choice of a particular multivariate analytical procedure for the design of quantitative research studies in the social and behavioural sciences are considered.
Course learning outcomes
- Foster students' understanding of the researcher's work (model)
- Introduce students to procedures for collecting and storing of data in educational research
- Introduce students to procedures for analysis of multivariate and multilevel data
- Promote students' competence and confidence in using computer based procedures for the data analysis
- Develop students' ability to understand and master the handling of data and employ proper analyses
- Develop students' understanding of output derived from statistical procedures and to converting such output to understandable statements in English
Availability
Class details
Online
Class number 20151
Section 01OL
Size 8
Available 8
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