| Area: |
Department of Education |
| Credits: |
25.0 |
| Contact Hours: |
3.0 |
| |
| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
| |
| Lecture: |
1 x 3 Hours Weekly |
| |
| Syllabus: |
Review of educational measurement and descriptive statistics. Review of inferential statistics and the logic of hypothesis testing and statistical power. Correlation, partial correlation and the logic of survey design and analysis. Introduction to factor analysis, regression analysis. Causal analysis in correlational and experimental research. Univariate and multivariate analysis of variance and covariance. Discriminant analysis. |
| |
| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
| |
| Field of Education: | 10100 Mathematical Sciences (Narrow Grouping) |
| Funding Cluster: | 04 - Mathematics, Statistics |
| SOLT (Online) Definitions*: | Not Online
*Extent to which this unit or thesis utilises online information |
| Result Type: | Grade/Mark |
Availability |
| Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. |
