CRIM 3004 - Quantitative Research Methods in Criminology

North Terrace Campus - Semester 1 - 2020

How do you find and interpret the latest violent crime rate data? What factors put Australians at risk of becoming victims of a crime? What factors influence Australians' perception of the police force? How do you decipher the ?Results? and ?Discussion? sections of journal articles or government reports? How do you design a simple survey questionnaire that could tell you things that the existing data cannot? This course will teach students to use the tools of quantitative research methods to answer these and other questions. The focus will be on the logic of quantitative reasoning and its application to practical problems in criminological research. This course will focus on survey research and statistical techniques to analyse data collected in surveys. It will also spend time looking at other sources of quantitative data, including data compiled by various Australian government agencies. By the end of the course, students will be able to read, understand, and critically evaluate several types of quantitative data presented in research reports, books and journals. Please note that mathematical proofs, complex calculations, abstract probability theory, and the like will not be discussed.

  • General Course Information
    Course Details
    Course Code CRIM 3004
    Course Quantitative Research Methods in Criminology
    Coordinating Unit Sociology, Criminology and Gender Studies
    Term Semester 1
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 3 hours per week
    Available for Study Abroad and Exchange Y
    Prerequisites SOCI 2012 or PSYCHOL 1004 or PSYCHOL 2004 or GEOG 2132
    Incompatible SOCI 3015 and SOCI 3016
    Restrictions Available to BCRIM students only
    Assessment Mid-term (20%), assignment 1 (10%), assignment 2 (30%), assignment 3 (10%), final exam (30%)
    Course Staff

    Course Coordinator: Dr Djordje Stefanovic

    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:
    1. correctly use basic quantitative terminology
    2. understand and apply basic quantitative reasoning
    3. find and critically assess different quantitative data provided by Australian government
    4. conduct basic data analysis of Australian General Social Survey data set
    5. design a short on-line survey to resolve the problems with existing data sets
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    Intercultural and ethical competency
    • adept at operating in other cultures
    • comfortable with different nationalities and social contexts
    • able to determine and contribute to desirable social outcomes
    • demonstrated by study abroad or with an understanding of indigenous knowledges
    Self-awareness and emotional intelligence
    • a capacity for self-reflection and a willingness to engage in self-appraisal
    • open to objective and constructive feedback from supervisors and peers
    • able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
  • Learning Resources
    Required Resources
    1. Statistics for People Who (Think) They Hate Statistics, by N. J. Salkind, (6th ed) Thousand Oaks, CA: Sage  
      - Hardcopies available at the Barr Smith Library, High Use area 

    2. Successful Surveys, (Chapters 7, 8, and 9), by Gray and Guppy, Harcourt Brace & Company  
      - Available via MyUni.

    The course calendar, below, specifies the reading to be  done before coming to class. The lectures run parallel to the textbook
    readings; however, the lectures do not simply repeat the material in the textbook. The students are responsible for mastering both the lecture  and the textbook material for use on the midterm exam, the assignments  and the final exam. The readings are not longand it is vital to do them. Failure to keep up with the readings or to come to class would make it difficult to do well in this course.
    Online Learning
    Lecture power point slides, Echo 360 lecture recordings, on-line quizzes, assignment instructions, and model assignments will be posted to the MyUNi course site available via MyUni link.
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.


    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    1 x 3 hour lecture per week                                                               33 hours
    3 hours reading per week                                                                  33 hours
    1 hour on-line quiz answering per week                                            11 hours
    6.2 hours assignment preparation each week on average                68 hours
    1 hour exam review per week                                                            11 hours

    Total (per semester)                                                                      156 hours
    Learning Activities Summary
    1. Introduction & Level of Measurement
    2. Descriptive Stats, Crosstabs and Correlations
    3. Normal Distribution and Z Scores
    4. Hypothesis Testing
    5. Confidence Intervals & Statistical Significance
    6. Correlation and Regression
    7. Multicausality
    8. How to Read & Write Quant Publications
    9. Survey Design: Methodology& Questions
    10. Survey Design: Questionnaire & On-Line
    11. Future of Quantitative Analysis
    Small Group Discovery Experience

    In-class team exercises provide opportunities to put new knowledge and skills into practice in meaningful ways.
  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Assessment Task                                                                                Type                               Weight               Learning Objectives

    Midterm Exam                                                                       Formative &Summative                    20%                             2,3
    Assignment One (Basic Stats with Excel)                              Formative &Summative                   10%                             1,2
    Assignment Two (Sophisticated Stats with SPSS)                 Formative &Summative                   30%                               4
    Assignment Three (On-line Survey Questionnaire Design)   Summative                                      10%                               5
    Final Exam                                                                            Summative                                      30%                              1,2
    Assessment Detail
    Mid Term Exam (20%): The mid-term will be multiple  choice and will include the kinds of questions asked in the quizzes. It
    will take place in regular class time and location. Details of this assessment will be provided in class.

    Assignment One (Basic Stats with Excel)(10%): In the first assignment, you will use data collected by the Australian
    government to look into certain social issues in Australia.  You will use basic statistics in this assignment. The report file will be
    submitted via MyUni.

    Assignment Two (Sophisticated Stats with SPSS) (30%): In the second assignment, you will use data from the General Social
    Survey of Australians to answer a specific research question of your  choice using more sophisticated statistics. The report file will be
    submitted via MyUni.

    Assignment Three (On-line Survey Questionnaire Design) (10%): In the third assignment, you will identify a new research question,based on what you have learned in the second assignment. You will then  design a brief survey questionnaire that could collect data to help you  answer that question. The report file will be submitted via MyUni.

    Final Exam (30%): You will be expected to display understanding, integration, and critical reflection on the required readingsand lectures. The examination will have a multiple choice format. Details of this assessment will be provided in class.

    Note: Further very detailed information on the expectations for each  assignment will be provided at the MyUni and discussed in class, on the dates specified in the Tentative Course Outline (below).

    No information currently available.

    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

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    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy ( course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

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  • Policies & Guidelines
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