Launceston
Introduction
This unit is designed for HDR candidates in the data-collection stage of candidature/coursework to prepare them for data analysis and representation appropriate to relevant methodological techniques and/or approaches they have employed. The unit provides broad learning across qualitative, quantitative, and mixed methods analysis with an opportunity for specialisation in one of these areas relevant to the particular research project in which the candidate is involved.
Summary 2021
| Unit name | Data Analysis in Educational Research |
|---|---|
| Unit code | EPA962 |
| Credit points | 12.5 |
| Faculty/School | College of Arts, Law and Education Faculty of Education |
| Discipline | Education |
| Coordinator | David Kember |
| Available as student elective? | No |
| Breadth Unit? | No |
Availability
Note
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Fees
Teaching
| Timetable | View the lecture timetable | View the full unit timetable |
|---|
Textbooks
| Required | None |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.