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Unit Summary

Unit type

Hons Unit

Credit points

12

AQF level

8

Level of learning

Advanced

Unit aim

Reviews statistical methods and concepts from previous years and considers research methodology and data analysis at an advanced level.  Modern approaches to null hypothesis testing and alternative approaches to data analysis are considered. The construction and analysis of psychometric tests is discussed.

Unit content

  • Systematic reviews
  • Review of research methods, especially analysis of variance and linear regression
  • Designing research projects in Psychology, and power analysis
  • The logic of null hypothesis significance testing
  • The empirical bases underpinning the construction of widely used cognitive and personality assessments
  • Factor analysis
  • Multiple regression
  • Analysis of covariance
  • Multivariate analysis of variance
  • The practicalities of producing a research report, including graphs and APA format.
  • Introduction to advanced statistical analysis

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: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
On completion of this unit, students should be able to: GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 understand advanced and multivariate quantitative approaches used in psychological research Intellectual rigour Knowledge of a discipline
2 understand the contemporary and traditional approaches to null hypothesis significance testing Intellectual rigour Knowledge of a discipline Lifelong learning
3 select appropriate statistical techniques and analyse complex research data using the IBM-SPSS software package Knowledge of a discipline Lifelong learning
4 interpret and write up complex research data in accordance with approved scientific conventions Intellectual rigour Knowledge of a discipline
5 construct a psychometric test, and test its structure and psychometric properties Knowledge of a discipline Lifelong learning

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

  1. understand advanced and multivariate quantitative approaches used in psychological research
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
  2. understand the contemporary and traditional approaches to null hypothesis significance testing
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning
  3. select appropriate statistical techniques and analyse complex research data using the IBM-SPSS software package
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning
  4. interpret and write up complex research data in accordance with approved scientific conventions
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
  5. construct a psychometric test, and test its structure and psychometric properties
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning

Prescribed texts

  • Field, A, 2018, Discovering Statistics Using IBM SPSS Statistics, 5th edn, Sage, London.
Prescribed texts may change in future study periods.