GEOG 2132 - Social Science Techniques II

North Terrace Campus - Semester 1 - 2018

The course aims to provide students with a perspective on the role of social sciences within contemporary society, especially in Australia, and teach a number of basic skills which are expected of professional social scientists in the contemporary world. These skills are an important acquisition for students, whether they seek to gain employment in the public and private sectors or to proceed to higher level research within their chosen social discipline. Students of this course should emerge from it with a sound background in the main sources of social science information and data available in Australia, and the major methods of analysing information from these sources. Computer workshops provide skills in analysis. No prior background or knowledge in computing, mathematics or statistics is assumed. The aim is to teach students a range of techniques of analysis and how to interpret the results.

  • General Course Information
    Course Details
    Course Code GEOG 2132
    Course Social Science Techniques II
    Coordinating Unit Geography, Environment and Population
    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 At least 12 units of Level I undergraduate study
    Incompatible SOCI 2002 & GEST 2100, GEST 2032
    Course Description The course aims to provide students with a perspective on the role of social sciences within contemporary society, especially in Australia, and teach a number of basic skills which are expected of professional social scientists in the contemporary world. These skills are an important acquisition for students, whether they seek to gain employment in the public and private sectors or to proceed to higher level research within their chosen social discipline. Students of this course should emerge from it with a sound background in the main sources of social science information and data available in Australia, and the major methods of analysing information from these sources. Computer workshops provide skills in analysis. No prior background or knowledge in computing, mathematics or statistics is assumed. The aim is to teach students a range of techniques of analysis and how to interpret the results.
    Course Staff

    Course Coordinator: Associate Professor Yan Tan

    Course Timetable

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

    2 lectures -1 hour
    1 workshop -1 hour
  • Learning Outcomes
    Course Learning Outcomes
    At the successful completion of this course, students will be able to:
    1 Understand basic methods and techniques of data analysis in the social sciences and the ways in which they can be used in research.
    2 Develop skills in analysing and interpreting social, demographic and economic data, such as the Australian Census of Population and
    Housing, to competently present data by means of tables and graphs.
    3 Perform descriptive statistics, statistical testing, and multiple regress analysis of survey data using SPSS software.
    4 Develop an awareness of the social applications of geographical information systems (GIS) in mapping and interpreting spatial variations in social, demographic and economic data.
    5 Develop skills in selecting the appropriate techniques for various types of data, and presenting results of data analysis with high quality written skills.
    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)
    1, 2, 3, 4, 5
    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
    1, 2, 3, 5
    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
    2, 3, 4, 5
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    2, 3, 4
    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
    5
    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
    1, 5
  • Learning Resources
    Required Resources
    Publications relating to the content of the census and other information relating to surveys and data sources provided by the Australian Bureau of Statistics (ABS) can be found on the ABS website at: http://www.abs.gov.au
    Recommended Resources

    Publications relating to the content of the census and other information relating to surveys and data sources provided by the Australian Bureau of Statistics (ABS) can be found on the ABS website at: http://www.abs.gov.au

    Online Learning
    Publications relating to the content of the census and other information relating to surveys and data sources provided by the Australian Bureau of Statistics (ABS) can be found on the ABS website at: http://www.abs.gov.au
  • Learning & Teaching Activities
    Learning & Teaching Modes

    The course lectures provide basic factual information and information on data and techniques of analysis in the social sciences, introducing social issues, measurement, sources of data, interpretation and presentation. The workshops are linked to the lectures and together with readings each week follow a sequence of modules. The first based on census data examines population and socio-economic trends using EXCEL to show social indicators, tables and graphs. This module also uses GIS to map patterns of spatial variation and accessibility. The second is based on the collection of survey data and analysis using SPSS. The third focuses upon statistical analysis using SPSS to provide ways of summarising social, demographic and economic data and provides both description and explanation.



    Workload

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

    2 x 1-hour lectures (or equivalent) per week 22 hours per semester
    1 x 1-hour workshop (or equivalent) per week 10 hours per semester
    6 hours reading per week 72 hours per semester
    2.5 hours research per week 30 hours per semester
    2 hours assignment preparation per week 24 hours per semester
    TOTAL WORKLOAD 158 hours per semester
    Learning Activities Summary
    Schedule
    Week 1 Introduction: Secondary Data Sources
    Week 2 The Australian Census: Applying Census Data to Social Sciences Study
    Week 3 Social Indicators: Quantitative and Qualitative Measurement
    Week 4 Quantitative and Qualitative Measurement; GIS & Social Sciences: Examples
    Week 5 Survey Methods: Sampling and Questionnaire Design
    Week 6 Preparation for Undertaking a Survey: Ethics in Research and Ethical Conduct
    Week 7 Analysis of Survey Data
    Week 8 Data to Answer Research Questions: Hypothesis Testing
    Week 9 Descriptive Statistics: Summarising Data, Report Writing and Presentation
    Week 10 Multi-variate Analysis: Correlation and Regression
    Week 11 Interviewing and Discourse Analysis; Summary and Exam Review
    Specific Course Requirements
    A course requirement is that students submit all three workshop assignments. Attendance and satisfactory participation in the workshops is a major component of the course. Failure to attend them will make it very difficult to pass this subject and could preclude you from undertaking the exam.
    Small Group Discovery Experience


    This course is designed to encompass focussed computer workshops to develop skills in data analysis and presentation with small group discovery around interpretation of the outcomes.

  • 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 Task Type Weighting Learning Outcome
    Workshop participation Formative and Summative 10% 1-5
    Workshop exercises Formative and Summative 50% 1-5
    Exam Summative 40% 1-5
    Assessment Related Requirements
    A course requirement is that students submit all three workshop assignments. Attendance and satisfactory participation in the workshops is a major component of the course. Failure to attend them will make it very difficult to pass this subject and could preclude you from undertaking the exam.
    Assessment Detail


    1.     Ongoing Workshop Participation and completion of SGDE activities (10%):

    Students must attend and participate in Workshops. Students are required to notify the Course Co-ordinator as soon as possible if you have to miss a workshop. You need written evidence (e.g. medical certificate; note from employer; counsellor’s letter) if you have to miss more than one. Students are expected to be well prepared for each workshop and to actively participate.
     

    During the lectures, students have opportunities to undertake a range of learning activities which will be designed to assess ongoing learning of what are the key concepts, techniques, and issues discussed throughout the course. Development of oral and aural skills will be an important part of this assessment.

     
    Importantly, please note that although this allocation is 10% only, evidence shows that students who commit to regular attendance and engage with the course via active participation, often get up to 10/10 for this assessment component and that this can make the difference of up to a grade level if done well (i.e. Pass to Credit, Credit to Distinction, Distinction to High Distinction). 

     
    2.       Workshop Assessment Tasks (50%):

    The Workshops are of one-hour duration and are linked to the lecture program and it is advisable that you regularly attend Lectures (and/or listen to the recordings) and Workshops. Some weekly workshops will include an assessment task which allows students to
    demonstrate both the successful completion of the workshop tasks, and their understanding and application of the techniques and skills which they learn each week.  Students need to submit all four Workshop Assessment Assignments on the following: (1) analysis of Census data and mapping social and demographic data (Part I); (2) analysis of Census data and mapping social and demographic data (Part II); (3) analysis of survey data using SPSS; (4) using SPSS for statistical analysis. Full details of the Workshop Assessments will be provided at the start of each workshop. All assignments in this course must be submitted online via the relevant course site. Assignment files must be converted to PDF before being submitted to MyUni/Canvas.

     
    The DUE dates are as follows:
     
    1. Analysis of census data (Part I)          (10%)      Workshops 1-2      Monday, 19 March

    2. Analysis of census data (Part II)         (10%)      Workshops 3-4      Monday, 9 April

    3. Analysis of survey data using SPSS    (20%)       Workshops 5-8      Monday, 14 May

    4. Using SPSS for statistical Analysis      (10%)       Workshops 9-10    Monday, 4 June

     
    Submission of assignments must be lodged by the given DUE date to avoid penalty.  If an assignment is submitted late there must
    be an adequate reason given to the Course Coordinator. Students will receive feedback on or grades for their work by the end of week after the due date of each submission.

     
    3.    Take Home Final Exam (40%):

    This exam will be delivered and completed during the week from 4 June to 10 June. It will be a take home exam that students will
    submit to MyUni/Canvas by the DUE date 10th June. Students will be provided with a lecture session that takes them through the exam and practice what a good answer looks like. The exam will consist of two components: (1) a series of short answer questions
    which cover all aspects of the course; and (2) an essay question where students write on one topic from a given selection.


    IMPORTANT NOTES:

    Extensions

    Extensions can only be sought under the provisions of the Modified Arrangements for Coursework Assessment Policy or the Reasonable
    Adjustments for Teaching and Assessment for Students with a Disability Policy.

     
    Lateness Penalties

    For work that is late without formal extension, 2 percentage points will be deducted from the mark for every day (or part thereof) the work is late to a maximum of 7 days (including weekends and public holidays).

    For example, an assignment that is 3 days late: raw score of 80% – 6 marks lateness deduction = 74% final mark.

    For work with a formal extension, these penalties will apply from the extended due date.
     

    Cut-off date

    There will be a cut-off date for each assignment 7 days (including weekends and public holidays) after the original due date unless otherwise stipulated on MyUni. Work will not be accepted after the cut-off date, and a mark of zero will automatically be awarded for the assignment.


    Results
     
    Students’ final course results will be available online via Access Adelaide 10 days after the last day of the exam period.  University staff members are not permitted to release results over the telephone.


    Submission
    On line submission MyUni for assignments -Information available on enrolment.
    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.


    A course requirement is that students submit all three module assignments. Attendance and satisfactory participation in the workshops is a major component of the course. Failure to attend them will make it very difficult to pass this course and could preclude you from undertaking the exam.

    Grades

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

    HD High Distinction 85-100

    D Distinction 75-84

    C Credit 65-74

    P Pass 50-64

    F Fail 0-49

    To pass the course you must complete and submit for assessment all the assignments described in this course profile. Students who wish to continue in a major sequence or in a named degree must pass all core courses at a pass level or above.

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

    Final marks on Access Adelaide
  • Student Feedback

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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 (http://www.adelaide.edu.au/policies/101/) 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.

  • Student Support
  • Policies & Guidelines
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