From Framework to Data to Publication

Participation Prerequisites

The course is designed for up to 30 students with a clear focus on methods and framing. The course is thought from a management/strategy perspective but can be useful for other business disciplines (i.e., marketing, entrepreneurship, international business, controlling). I will assume basic knowledge of statistics, which we will build on in the course.

Course Content

Course material: The material consists of PowerPoint lecture, select supplied research articles (provided as PDF to registered students), software (I will provide trial versions of SPSS and AMOS at the first day of class).

Schedule:

Intended Learning Outcomes and Competencies

Objectives:

• To review and synthesize fundamental data analysis techniques (including data cleaning, regression).
• To develop an appreciation for more complex data analysis techniques (e.g., structural equation modeling).
• To understand the publication process and review process.

Instruction Type

Attendance on-campus in Vallendar is required.

Form of Examination

Evaluation:

• 50% in class applied work
• 50% general classroom participation

Literature

Recommended Texts:

• Hair, J.F., B. Black, B. Babin, R.E. Anderson. Multivariate Data Analysis. Any recent edition.
• George, D. and P. Mallery, SPSS for windows step by step: A simple guide and reference. Boston: Pearson Education. (Any edition 16+ will do)