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LocationDomesticInternational
Coffs Harbour
Gold Coast
OnlineN/A

Unit description

Develops skills in statistical analysis that will allow students to critically evaluate research and to conduct and report analyses appropriately. These skills will provide future psychologists the ability to maintain currency in an ever-evolving industry and researchers to independently analyse data and interpret outcomes in their field. The skills learned in this unit are also highly sought after in many industries.

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.

On completion of this unit, students should be able to:
1describe the underlying logic of statistical analyses and apply this logic to diverse research-based scenarios
2conduct advanced statistical analyses on a variety of authentic data sets
3evaluate the appropriateness of analytic approaches to answer research questions in psychology
4interpret the results of analyses using a variety of approaches and communicate this using approved conventions in psychology

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

  1. describe the underlying logic of statistical analyses and apply this logic to diverse research-based scenarios
  2. conduct advanced statistical analyses on a variety of authentic data sets
  3. evaluate the appropriateness of analytic approaches to answer research questions in psychology
  4. interpret the results of analyses using a variety of approaches and communicate this using approved conventions in psychology

Prescribed Learning Resources

Prescribed Texts
  • Prescribed text information is not currently available.
Prescribed Resources/Equipment
  • Prescribed resources/equipment information is not currently available.
Prescribed Learning Resources may change in future Teaching Periods

Teaching and assessment

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hours (Weekly)
Assessment
Quiz20%
Report40%
Report40%

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hours (Weekly)
Assessment
Quiz20%
Report40%
Report40%

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hours (Weekly)
Assessment
Quiz20%
Report40%
Report40%
Notice

Intensive offerings may or may not be scheduled in every teaching period. 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 teaching period.

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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