Availabilities:

2021 unit offering information will be available in November 2020

Unit description

Equips students with a range of advanced methodological and data-analysis techniques likely to be utilised in psychological research at honours level. Introduces students to the conceptual basis and practical use of the General Linear Model. Students will learn to use the SPSS computer program for the analysis of complex data using ANOVA, multiple regression, and factor analysis. The treatment of potential threats to interpretation (outlying data points, failures to meet relevant assumptions) will be discussed.

Unit content

The development of quantitative knowledge and skills allows for competent comprehension of research literature, the ability to conduct quantitative research, and increased options for collaboration with professionals from many fields. Advanced Quantitative Methods in Psychology will give students knowledge and skills in:

  • Statistical concepts, such as variance
  • Parametric statistics, including:
    • Between-groups analysis of variance (ANOVA)
    • Within-groups ANOVA
    • Factorial and mixed factorial ANOVA
    • Simple linear regression
    • Multiple regression
    • Factor analysis
  • Assumptions of statistical tests, their importance and how to test them
  • Calculating and interpreting effect size
  • Statistical power

 

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
1demonstrate an understanding of variance and how it is partitioned during analysis of varianceKnowledge of a discipline
2demonstrate an understanding of quantitative research methodology and appropriate methods of data analysisIntellectual rigourKnowledge of a discipline
3demonstrate an awareness of problems with data interpretation, outliers and lack of conformity with statistical assumptionsIntellectual rigourKnowledge of a discipline
4demonstrate an understanding of the difference between statistical significance and practical significance (treatment effect)Knowledge of a discipline
5demonstrate competency in the use of Statistical Package for Social Science [SPSS]Knowledge of a discipline
6report the outcome of statistical analyses in the format required by the American Psychological Association.Knowledge of a disciplineCommunication and social skills

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

  1. demonstrate an understanding of variance and how it is partitioned during analysis of variance
    • GA4: Knowledge of a discipline
  2. demonstrate an understanding of quantitative research methodology and appropriate methods of data analysis
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
  3. demonstrate an awareness of problems with data interpretation, outliers and lack of conformity with statistical assumptions
    • GA1: Intellectual rigour
    • GA4: Knowledge of a discipline
  4. demonstrate an understanding of the difference between statistical significance and practical significance (treatment effect)
    • GA4: Knowledge of a discipline
  5. demonstrate competency in the use of Statistical Package for Social Science [SPSS]
    • GA4: Knowledge of a discipline
  6. report the outcome of statistical analyses in the format required by the American Psychological Association.
    • GA4: Knowledge of a discipline
    • GA6: Communication and social skills

Prescribed texts

  • Prescribed text information is not currently available.
Prescribed texts may change in future study periods.

Teaching and assessment

Teaching method
Lecture online 2 hour (12 weeks)
Laboratory session 2 hours (11 weeks)
Assessment
Quiz15%
Report35%
Exam: closed book50%

Teaching method
Lecture online 2 hours (12 weeks)
Laboratory session 2 hours (12 weeks)
Assessment
Quiz15%
Report35%
Exam: closed book50%

Teaching method
Lecture online 2 hour (12 weeks)
Workshop online 2 hours (11 weeks)
Assessment
Quiz15%
Report35%
Exam: closed book50%
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.
Commencing 2021 Commonwealth Supported only. Student contribution band: 2

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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