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Unit Summary
Unit type
UG Coursework Unit
Credit points
12
AQF level
Level of learning
Intermediate
Former School/College
Unit aim
Equips students with a range of quantitative data analytic techniques utilised in psychological research. Provides methods for describing, summarising, and illustrating the results of experiments. Students are introduced to parametric statistics and correlations as methods for the description of variables and their relations. A basic understanding of the concepts underlying hypothesis testing is provided, with emphasis upon the normal distribution and central limit theorem. The use of t-tests for examining hypotheses about differences between groups and conditions is described. The conceptual basis of analysis of variance for testing hypotheses regarding experiments where the number of groups exceeds two is also described.
Unit content
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 | use a spreadsheet program such as Excel to correctly calculate basic parametric statistics on a variety of data sets | |||||||
| 2 | understand the logic of null-hypothesis testing and its application in simple experimental designs | |||||||
| 3 | conduct appropriate quantitative analyses on simple data sets using a spreadsheet such as Excel | |||||||
| 4 | correctly interpret the description of results to be found in research publications employing simple experimental designs | |||||||
| 5 | identify errors and interpretation problems in published research employing a range of simple experimental designs | |||||||
| 6 | communicate the results of an analysis in an effective manner adhering to APA standards | |||||||
On completion of this unit, students should be able to:
-
use a spreadsheet program such as Excel to correctly calculate basic parametric statistics on a variety of data sets
- GA4:
-
understand the logic of null-hypothesis testing and its application in simple experimental designs
- GA4:
-
conduct appropriate quantitative analyses on simple data sets using a spreadsheet such as Excel
- GA4:
-
correctly interpret the description of results to be found in research publications employing simple experimental designs
- GA4:
-
identify errors and interpretation problems in published research employing a range of simple experimental designs
- GA1:
-
communicate the results of an analysis in an effective manner adhering to APA standards
- GA6:
Prescribed texts
- Boslaugh, S, 2012, Statistics in a Nutshell, 2nd edn, O'Reilly Media, Sebastapol, CA. ISBN: Print ISBN: 978-1-4493-1682-2, Ebook ISBN: 978-1-4493-1692-1.