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.
This course is based on the following textbook:
Aidley, D. (2018). Introducing Quantitative Methods: A Practical Guide. Macmillan International Higher Education.
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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.
This course is based on the following textbook:
Aidley, D. (2018). Introducing Quantitative Methods: A Practical Guide. Macmillan International Higher Education.
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