QUANTITATIVE SKILLS FOR SOCIAL RESEARCH

SOC5QSR

2021

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.

SchoolHumanities and Social Sciences

Credit points15

Subject Co-ordinatorXianbi Huang

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesLab sessions, assessments, seminar

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Must be enrolled in a Masters by coursework degree

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Analysing Social Science Data: 50 key problems in data analysis

Resource TypeRecommended

Resource RequirementN/A

Authorde Vaus, David

Year2002

Edition/VolumeN/A

PublisherSAGE PUBLICATIONS LTD, UK

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Social Research Methods

Resource TypeRecommended

Resource RequirementN/A

AuthorWalter, Maggie

Year2019

Edition/Volume4th ed

PublisherOXFORD UNIVERSITY PRESS

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Develop skills of using relevant software and conducting quantitative research
02. Engage in discussion with peers in class about quantitative research
03. Evaluate strengths and weaknesses of different quantitative methods
04. Implement and report on research practice
05. Understand and apply quantitative methods to addressing social issues

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorXianbi Huang

Class requirements

Block ModeWeek: 10 - 22
Six 6.00 h block mode per study period on weekdays during the day from week 10 to week 22 and delivered via blended.
Classes will be held in the first six weeks of teaching.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Quiz (1,000-word equivalent)

N/AN/AN/ANo20 SILO1, SILO3, SILO5

Research exercise (2,000-word equivalent)

N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO4, SILO5

Research exercise (2,000-word equivalent)

N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO4, SILO5