Statistics for Social Research - 2018

Unit summary


  • Level of Study: Undergraduate Level 2
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP, HECS-HELP
  • Availability for 2017: SP1 , SP3
  • Availability for 2018: SP1 , SP3
  • Assessment: Assignment 1 (10%) , Assignment 2 (20%) - Learn more

Unit provided by

2018 Fees
Domestic 1,169.00
HECS 1,169.00
International 1,381.00

This unit provides a solid introduction to applied statistics for students in criminal justice and related fields. The unit covers both descriptive and inferential statistics, and students learn to use the statistical package SPSS for Windows.

Students in this unit will be taught to identify when certain statistical techniques are appropriate, and how to perform, interpret and present these analyses. This will enable students to be more discerning consumers of the research literature and also prepare them to carry out their own research projects. Students will be taught to analyse data using one of the most widely available statistical packages, SPSS. These skills are highly sought after by employers.

Assessment details will be advised at the beginning of the unit offering.

After successfully completing this unit you should be able to:

  1. explain in depth basic concepts of measurement of data, sampling distributions and variability
  2. demonstrate how to operate SPSS in order to manipulate data and generate statistical output
  3. select the correct descriptive and inferential analysis based on the type of data, data assumptions and the research question given
  4. interpret statistical output generated by SPSS in the context of analysis (determining the correct next step in a procedure) and to answer the research question (being able to translate statistical material for a reader)
  5. report statistical findings according to American Psychological Association guidelines.
  • Assignment 1 (10%)
  • Assignment 2 (20%)
  • Assignment 3 (30%)
  • Assignment 4 (40%)

This is not an introductory unit, it is a second year unit. You should complete a number of other first or second year units.

This unit addresses the following topics.

1Descriptive Statistics
2Probability, Sampling, and Distributions
3Hypothesis Testing & Significance
4Correlation & Reliability Analysis
5Linear Regression
6Effect sizes and Power
8One-way ANOVA
9Factorial ANOVA
10Chi-Square Analysis
11Non-Parametric Statistical Tests
12Choosing the Appropriate Analysis

This unit is delivered using the following methods and materials:

Instructional Methods

  • Discussion Forum/Discussion Board
  • Online assignment submission
  • Podcasting/Lecture capture

Online materials

  • Audio/Video - Streaming
  • Printable format materials
  • Resources and Links

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.

Textbook information for this unit is currently being updated and will be available soon. Please check back regularly for updates. Alternatively, visit the The Co-op website and enter the unit details to search for available textbooks.

Enquire online

Need to ask a question that's best put down in words?
Make an online enquiry.

Enquire now

Ready to enrol?

Start studying this unit now.


Got a question?

Get an answer from one of our friendly Student Advisors.