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Please note - Swinburne University of Technology

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must apply for entry into the honours year by the end <strong>of</strong><br />

their three-year degree,<br />

Note that entry into the honours year is competitive and the<br />

number <strong>of</strong> places is subject to a quota.<br />

84405 Research Methodology<br />

No, <strong>of</strong> hours per week: three hours<br />

Prerequisites: nil<br />

Instruction: seminar<br />

Assessment: seminar participation<br />

Subject aims and description<br />

The Research Methodology unit aims to equip students with<br />

the necessary research skills to conduct research studies for<br />

higher degrees. It is designed to facilitate the development<br />

<strong>of</strong> independent learning skills. Students will be presented<br />

with research methodologies appropriate to their discipline<br />

as well as those most commonly used in other disciplines.<br />

Throughout this unit students will make extensive use <strong>of</strong><br />

library resources.<br />

Research Methodlogy topics normally covered include:<br />

Posing research questions and the measurement <strong>of</strong> concepts:<br />

theory perspectives and construction;<br />

orienting statements and propositions;<br />

value free research;<br />

nominal and operational definitions;<br />

validity and reliability;<br />

the development <strong>of</strong> indicators;<br />

the development <strong>of</strong> an index.<br />

Library research methods:<br />

accessing databases e.g.: bibliographic, CD-ROM;<br />

parliamentary papers and journals;<br />

ABS data;<br />

video and audio e.g.: AUDIODISC;<br />

Gophes and Internet;<br />

evaluate discipline-specific library research methodology<br />

Qualitative research methods:<br />

participant observation;<br />

interviewing;<br />

group discussions;<br />

s<strong>of</strong>tware for analysing text material e.g.: NUDIST.<br />

Survey research methods:<br />

design options e.g.: personal interview, mail interview,<br />

CATI;<br />

research questions;<br />

sample design;<br />

questionnaire construction;<br />

fieldwork practice;<br />

coding, data entry and data verification;<br />

data analysis.<br />

Experimental research methods:<br />

types <strong>of</strong> experimental and quasi-experimental design;<br />

validity and threats.<br />

Analysis and interpretation <strong>of</strong> results:<br />

preparation for analysis;<br />

statistical analysis;<br />

correlation, regression, t-tests;<br />

Chi-squared and ANOVA;<br />

reporting results.<br />

Presenting a project outline and report writing techniques:<br />

the problem or question and its importance;<br />

account <strong>of</strong> related research;<br />

theoretical perspectives;<br />

sources <strong>of</strong> data;<br />

analysis <strong>of</strong> data;<br />

timetabling;<br />

budgets;<br />

word processing, desktop publishing and graphics;<br />

personal presentations and presenting at a conference.<br />

Textbook<br />

Emory, C.W. and Cooper, D.R. Business Research Methods. 4th ed,<br />

Irwin. 1991<br />

BQ504 Quantitative Methods<br />

No. <strong>of</strong> hours per week: five three-hour seminars<br />

per semester over two semesters<br />

Prerequisites: nil<br />

Instruction: seminars and workshops<br />

Assessment: three syndicate assignments and two<br />

final exams<br />

Subject aims and description<br />

This unit is designed to give students an understanding <strong>of</strong><br />

the role <strong>of</strong> quantitative analysis in the decision-making<br />

process. The skills acquired are used in other units <strong>of</strong> the<br />

course as well as giving an appreciation <strong>of</strong> quantitative<br />

techniques via practical applications. User-friendly computer<br />

packages are employed throughout the course wherever<br />

possible, reflecting their importance and usefulness.<br />

The topics included are: linear programming, forecasting,<br />

inventory management, basic statistics, decision theory.<br />

Textbook<br />

Render, 0. and Stair, R.M. Quantitatiw Analysis for Management. 4th<br />

ed, Boston: Allyn & Bacon, 1991<br />

Reference<br />

Anderson, M.Q. and Lievano, K.J. Quantatiw Management - An<br />

Introduction. 2nd ed, Baton: Kent, 1986<br />

84507 Market Modelling 1<br />

No. <strong>of</strong> hours per week: two hours<br />

Prerequisites: nil<br />

Instruction: lecturekutorial<br />

Assessment: individual and syndicate assignments<br />

Subject aims<br />

This unit aims to introduce students to the concept <strong>of</strong><br />

developing models for product demand. Students will be<br />

introduced to a range <strong>of</strong> predictive techniques that may be<br />

incorporated into demand models. Evaluation <strong>of</strong> model<br />

outputs will be an important aspect <strong>of</strong> this unit.<br />

Note that throughout this course, extensive use will be made<br />

<strong>of</strong> computer s<strong>of</strong>tware packages.<br />

In this unit, a number <strong>of</strong> case studies based on a variety <strong>of</strong><br />

produd markets will be analysed.<br />

Subject description<br />

Approaches to modelling and forecasting demand.<br />

Forecasting model for stationary and non-stationary data.<br />

Forecast monitoring and aggregation methods.<br />

Autoregressive and moving average processes.<br />

Model identification and evaluation.<br />

Textbooks<br />

Makridakis, S., Wheelwright, S.C. and McCee. V.E. %recasting<br />

Methods and Applications. 2nd ed, N.Y.: John Wiley, 1983<br />

Handout material<br />

8451 1 Research Methodology<br />

No. <strong>of</strong> hours per week: two hours<br />

Prerequisites: nil<br />

Instruction: lecture/laboratory<br />

Assessment: individual and syndicate assignments<br />

Subject aims and description<br />

This introductory research methodology unit aims to provide<br />

participants with a basic knowledge <strong>of</strong> the research methods<br />

that are necessary for successful market modelling in today's<br />

business world. As part <strong>of</strong> this unit, participants are

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