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Coffs Harbour Session 2 Session 2

Unit Summary

Unit type

Hons Unit

Credit points

12

AQF level

8

Level of learning

Advanced

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 Null Hypothesis Testing: 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.

GA1: , GA2: , GA3: , GA4: , GA5: , GA6: , GA7:
On completion of this unit, students should be able to: GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 explain and defend the data-analysis strategy for an experimental design consistent with research conducted at Honours level in psychology
2 critically evaluate the use of Null Hypothesis Testing methods for data analysis and identify alternatives where more appropriate
3 conduct appropriate analyses of data from designs consistent with those likely to be employed at Honours level in Psychology
4 report the results of data analysis for research consistent with that conducted at Honours level in psychology, following APA format and guidelines for effective dissemination of research outcomes

On completion of this unit, students should be able to:

  1. explain and defend the data-analysis strategy for an experimental design consistent with research conducted at Honours level in psychology
    • GA4:
  2. critically evaluate the use of Null Hypothesis Testing methods for data analysis and identify alternatives where more appropriate
    • GA4:
  3. conduct appropriate analyses of data from designs consistent with those likely to be employed at Honours level in Psychology
    • GA2:
  4. report the results of data analysis for research consistent with that conducted at Honours level in psychology, following APA format and guidelines for effective dissemination of research outcomes
    • GA2:

Prescribed texts

  • No prescribed texts.
Prescribed texts may change in future teaching periods.