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Instructors: Dr. Wiebke Szymczak
Event type:
Lecture + practical course
Displayed in timetable as:
Quant.Res.Meth.Basic
Hours per week:
3
Credits:
6,0
Language of instruction:
English
Min. | Max. participants:
10 | 35
Comments/contents:
This course provides a basic introduction on how to conduct a quantitative research study - from philosophical underpinnings and the conception of the research question to collecting data, analysing data and writing up. The emphasis is on the practical application of quantitative reasoning, data handling, and data analysis. Topics covered include basic principles and assumptions of quantitative research, a brief revision of mathematical concepts and basic statistical tools, such as t-tests, Mann-Whitney U-test and Wilcoxon signed rank as well as ANOVAs, ANCOVAs and Kruskal-Wallis and tests for relationships (Pearson’s correlation, Spearman’s correlation and chi square) as well as their implementation in Excel and R.
Learning objectives:
At the end of this course, students will be able to design, conduct and interpret quantitative research using basic statistical tools. Moreover, they will be able to assess whether and when a quantitative research strategy is appropriate.
Didactic concept:
This course will be taught in a mix of pre-recorded lectures and in-person Q&A sessions. Please note that students wishing to take this course must also register for the tutorial which will focus on the pratical application of the concepts and tools taught in this lecture.
Literature:
This course will be based on the following textbook:
Aidley, D. (2018). Introducing Quantitative Methods: A Practical Guide. Macmillan International Higher Education.
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