Availabilities:

Not offered in 2020

Unit description

Reviews statistical methods and concepts 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

 

  • Review of statistical approaches 
  • The logic behind null hypothesis significance testing 
  • Multiple regression analysis, moderation, and mediation
  • Construction of psychological measurements
  • Factor analysis
  • Analysis of covariance
  • Factorial and multivariate analysis of variance 
  • Advanced topics in statistics, research design, and data management

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:GA1GA2GA3GA4GA5GA6GA7
1understand advanced and multivariate quantitative approaches used in psychological researchIntellectual rigourKnowledge of a discipline
2understand the contemporary and traditional approaches to null hypothesis significance testingIntellectual rigourKnowledge of a disciplineLifelong learning
3select appropriate statistical techniques and analyse complex research data using the IBM-SPSS software packageKnowledge of a disciplineLifelong learning
4interpret and write up complex research data in accordance with approved scientific conventionsIntellectual rigourKnowledge of a discipline
5construct a psychometric test, and test its structure and psychometric propertiesKnowledge of a disciplineLifelong 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

Teaching and assessment

Notice

Intensive offerings may or may not be scheduled in every session. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the study session.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.

Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees

International

Please check the international course and fee list to determine the relevant fees.

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