soc5qsr quantitative skills




Credit points: 15

Subject outline

This subject will provide an introduction to some important quantitative skills and data analysis techniques in social science research. Emphasis will be placed on the practical application of quantitative methods, which covers survey and questionnaire design, secondary data and official statistics, and basic functions of SPSS. During the seminars, students will gain hands-on experience in using relevant software and conducting data analysis. Various examples will be drawn on to illustrate how the quantitative skills can be applied across disciplines. Through learning this subject, students are expected to develop basic quantitative skills that are widely used in academia and highly sought after by employers in both public and private sectors.

SchoolSchool of Humanities & Social Sciences

Credit points15

Subject Co-ordinatorXianbi Huang

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites Must be enrolled in a Masters by coursework degree


Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Learning resources


Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsAnalysing Social Science Data: 50 key problems in data analysisRecommendedde Vaus, David 2002SAGE PUBLICATIONS LTD, UK
ReadingsSocial Research Methods (3rd ed)RecommendedWalter, Maggie 2013OXFORD UNIVERSITY PRESS

Graduate capabilities & intended learning outcomes

01. Develop skills of using relevant software and conducting quantitative research

Seminar, lab sessions, assessments

02. Engage in discussion with peers in class about quantitative research

Seminar, lab sessions, assessments

03. Evaluate strengths and weaknesses of different quantitative methods

Seminar, lab sessions, assessments

04. Implement and report on research practice

Seminar, lab sessions, assessments

05. Understand and apply quantitative methods to addressing social issues

Seminar, lab sessions, assessments

Subject options

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Start date between: and    Key dates

Melbourne, 2019, Winter semester, Blended


Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorXianbi Huang

Class requirements

Block ModeWeek: 27 - 28
Six 6.0 hours block mode per study period on weekdays during the day from week 27 to week 28 and delivered via blended.


Assessment elementComments%ILO*
Quiz (1,000-word equivalent)2003, 01, 05
Research exercise (2,000-word equivalent)4005, 03, 02, 01, 04
Research exercise (2,000-word equivalent)4001, 02, 03, 04, 05