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Unit Summary
Unit type
Hons Unit
Credit points
12
AQF level
Level of learning
Advanced
School/College
Unit aim
Provides a critical evaluation of data analysis techniques and current approaches to best practice evaluation techniques in the applied setting. Describes contemporary alternatives to null hypothesis testing in the context of their value for real-world professional conduct within a scientist-practitioner framework. Supports best practices in data management, programme evaluation and scientific and applied dissemination of outcomes and utilises a combination of problem based learning applied to a project and student reflective practice.
Unit content
- Designing an effective data analysis strategy: Issues and resolutions
- Introduction to the “New” statistics: effect size estimation
- Alternatives to NHT: Bayes and p-rep
- Research in the real world: single case designs
- Research in the real world: time series
- Real world applications: programme evaluation
- Real world applications: Big data
- Good data practices
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
| On completion of this unit, students should be able to: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 | |
|---|---|---|---|---|---|---|---|---|
| 1 | select appropriate models for the design and analysis of single-subject data, and interpret the outcomes of these | Knowledge of a discipline | ||||||
| 2 | provide a critical analysis of methodological practices in psychological research in an area of practical significance | Intellectual rigour | Communication and social skills | |||||
| 3 | construct an effective proposal for a research project | Knowledge of a discipline | Communication and social skills | |||||
On completion of this unit, students should be able to:
- select appropriate models for the design and analysis of single-subject data, and
interpret the outcomes of these
- GA4: Knowledge of a discipline
- provide a critical analysis of methodological practices in psychological research
in an area of practical significance
- GA1: Intellectual rigour
- GA6: Communication and social skills
- construct an effective proposal for a research project
- GA4: Knowledge of a discipline
- GA6: Communication and social skills
Prescribed texts
- No prescribed texts.