Quantitative Research Methods III - Accounting and Marketing

COURSE OBJECTIVE
Academic and Research Skills:
• Student has knowledge of basic and advanced methods (such as factor analysis and multiple regression analysis including methods to analyse moderating and mediating effects) to be able to estimate the statistical models with the use of Stata and interpret the results.
• Student knows how to deal with limitations in the data, such as outliers, missing observations and what to do if the data do not meet the assumptions of statistical tests.
• Student has sufficient knowledge of basic and advanced methods to be able to translate a research question into a formal, testable model.
• Student has sufficient knowledge of research design to be able to independently set up a research project.

COURSE CONTENT
This course focuses on conducting research. This includes research design, selecting the appropriate methods, analysis and interpretation
of the results. You will learn how to express theories as abstract models and how to correctly interpret the results of estimating these
models. In this course we build on your statistical knowledge gained in Quantitative Research Methods II. We cover an extensive selection of advanced methods such as factor analysis and multiple regression analysis including methods to analyse moderating and mediating effects. You will learn how to implement these techniques in statistical software (Stata). The choice of the correct specification and the interpretation of the results will be central. We also discuss how to deal with limitations in the data.

TEACHING METHODS
Lectures.
Tutorials.
Computer tutorials.

TYPE OF ASSESSMENT
Assignment – individual assessment.
Exam – individual assessment.

ADDITIONAL INFORMATION
It is not possible to retake the assignment (part of the final grade).

Students who completed the minor 'Applied Econometrics: A Big Data Experience for All' may choose a different course that is part of the curriculum of one of the SBE Bachelor programs instead of QRM III.

RECOMMENDED BACKGROUND KNOWLEDGE
Quantitative Research Methods I and Quantitative Research Methods II.