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Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Spring 2019
Content and learning outcomes
Course contents
Introduction to quantitative research methods:
Use of primary data sources such as in survey research
Use of secondary data sources such as patent data bases and financial data bases, bibliometrics, etc
Use of modeling and simulation
Quantitative research methodology:
Underlying assumptions of quantitative analysis
Design and implementation of quantitative studies
Reading and reporting quantitative research
Validity and reliability issues
Statistical analysis:
Statistical inference, association and causation among variables and multivariate techniques
Statistical packages such as SPSS and AMOS
Intended learning outcomes
Describe the breadth of research approaches and data collection techniques available to a quantitative researcher in the field of Industrial economics and management
Describe the basic ideas and underlying assumptions of quantitative analysis
Describe basic elements of design and implementation of quantitative studies
Understand how to read quantitative research in a critical way
Understand how to report quantitative research in a publishable way
Appreciate quality aspects in conclusions based on statistical reasoning
Be familiar with basic statistical inference
Be familiar with and able to test statistical association and causation among variables
Be familiar with and able to use basic multivariate data analysis techniques
Be familiar with the basics of widely used computer based statistical packages such as SPSS and AMOS
Preparations before course start
Recommended prerequisites
Enrolled at doctoral program in Industrial management or equivalent.
Literature
Will be announced when course starts.
Support for students with disabilities
Students at KTH with a permanent disability can get support during studies from Funka:
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Mandatory to be present and participate in all modules
Ethical approach
All members of a group are responsible for the group's work.
In any assessment, every student shall honestly disclose any help received and sources used.
In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
