All students, regardless of specialization, will choose research methods electives. The elective courses available are sufficiently diverse that students from differing specializations may select courses that are most appropriate to their area.
The Alberta School offers a two-term course sequence (MGTSC 705, Multivariate Data Analysis I, and MGTSC 706, Multivariate Data Analysis II), which most PhD students take. The Alberta School also offers a courrse in qualitative research methods (BUS 701) and is planning to introduce a course in philosophy of research and experimental methods. In addition, a wide range of other statistics and research design courses are available in other Faculties. Students choose from these according to their research needs and goals.
The following methods courses for doctoral students are offered within the Alberta School of Business.
ACCTG 701 The Methodological Foundations of Accounting Research
Because the practice of accounting and the use of accounting information are complex and multi-faceted,
a wide variety of research approaches provide an understanding of accounting.
These approaches are primarily in the social sciences, but also in mathematics
and some of the humanities, such as history and philosophy. The purpose of this
course is to examine some of the fundamental ideas and concepts underlying the
research process in accounting. It focuses on the philosophy of the social
sciences, since they provide the core of theory and methods for accounting
research. Topics include the objectives of social science research; the nature
and role of theories; the relationship between facts and values; theory
construction, testing, falsification and inference; "positivist" vs.
"non-positivist" methods; social studies of science and scientists;
and research ethics (including research involving human subjects). The emphasis
is on the scientific method broadly construed and applied, rather than on
specific techniques. Open to all doctoral students or with written permission of the
instructor. Approval of the Associate Dean, PhD Program is also required for
BUS 701 Qualitative Methodology for Business Research
Examines qualitative research methods as they apply to business research. Includes: the
terrain and history of qualitative research, exploring different approaches to
qualitative research, designing qualitative research, strategies of inquiry,
qualitative data analysis, writing up research, and professional and ethical
issues. Prerequisite: Registration in Business PhD Program or written
permission of instructor. Approval of the Associate Dean, PhD Program is also
required for non-PhD students.
BUS 715 Experimental Design for Behavioural Science
The objective of this course is to provide students with an understanding of the essential principles
and techniques for conducting scientific experiments on human behaviour. It is
tailored for individuals with an interest in doing research using experimental
methods in areas such as psychology, judgement and decision making, consumer
behaviour, behavioural economics and finance, organizational behaviour, and
human performance. Classes are conducted in an interactive seminar format, with
extensive discussion of concrete examples, challenges, and solutions.
Prerequisites: Registration in the Business PhD Program or permission of instructor.
Approval of the Associate Dean, PhD Program is also required for non-PhD
MGTSC 705 Multivariate Data Analysis I
An overview of multivariate data analysis normally taken by students in the first year of the
Business PhD program. The course is designed to bring students to the point
where they are comfortable with commonly used data analysis techniques
available in most statistical software packages. Students are expected to
complete exercises in data analysis and in solving proofs of the major results.
Topics will include univariate analysis, bivariate analysis, multiple linear
regression, and analysis of variance. It is expected that students have as
background at least (a) one semester of calculus; (b) one semester of linear
algebra, and (c) two semesters introduction to probability, probability
distributions and statistical inference. Prerequisite: Registration in Business
PhD Program or written permission of instructor. Approval of the Associate
Dean, PhD Program is also required for non-PhD students.
MGTSC 707 Applied Business Analysis of Time Series and Panel Data
This course is organized into two parts. Part I covers univariate and
multivariate time domain models of stationary and nonstationary time series.
Topics covered include univariate time series models, unit root tests, time
series regression modeling, systems of regression equations, vector
autoregressive models for multivariate time series and cointegration. In Part
II the course introduces the issues and opportunities that arise with panel
data and the main statistical techniques used for its analysis. Topics covered
include fixed-effects models, random-effects models, dynamic models and limited
dependent variable models. Throughout the course, the emphasis will be on how
to use S-plus and Stata to estimate panel data and time series models.
There is relatively less emphasis on statistical theory. Evaluation in the course
is based on homework assignments and a term project. Prerequisite: MGTSC 705 or
SMO 706 Seminar in Quantitative Research Methods (in development)
Quantitative methods is an empirics-focused seminar that is intended to sharpen the student's ability to design and use quantitative and mixed methods in behavioral studies, as well as to broaden the student's knowledge of exemplary research in methods in this domain of research. The course complements standard regression or ANOVA course taken by students, and is particularly tailored for students of organization, strategy, and entrepreneurship. Prerequisite: Registration in Business PhD Program at the University of Alberta or written permission of instructor. Approval of the Associate Dean, PhD Program is also required for non-PhD students.
Other appropriate research methods courses may be substituted with approval of the supervisor. The following table lists some of the past courses taken by our students.
| Applied Econometrics
|| Time Series Methods in Financial Econometrics
| Econometric Theory and Applications
| Applied Econometrics
| Topics in Econometrics
|| Design and Analysis in Psychological Research I
| Design and Analysis in Psychological Research II
| Multi-Variable Sociological Analysis
| Quantitative Methods in Social Research
| Qualitative Methods in Social Research
| Comparative and Historical Methods in Sociological Research
| Research Design
| Multivariate Analysis
| Advanced Methods of Sociological Inquiry
| Structural Equation Modelling with LISREL
| Graduate Courses in Statistics
updated April 25, 2018