The course introduces students quantitative research. The course is organized into two parts. In part one, the quantitative research paradigm is highlighted, along with issues related to
research ethics and research quality. Thereafter, emphasize is given on survey
research design as one of the most common quantitative research strategies. More concretely, typical steps in survey research design are presented and applied. In the second part of the course, various methods of data analysis are
presented. There will be exercises in descriptive and inferential statistical analysis, using
real-world survey data. The important part of the course is to engage
students in the identification of potential sources of bias related to survey
design.
The course introduces students quantitative research. The course is organized into two parts. In part one, the quantitative research paradigm is highlighted, along with issues related to
research ethics and research quality. Thereafter, emphasize is given on survey
research design as one of the most common quantitative research strategies. More concretely, typical steps in survey research design are presented and applied. In the second part of the course, various methods of data analysis are
presented. There will be exercises in descriptive and inferential statistical analysis, using
real-world survey data. The important part of the course is to engage
students in the identification of potential sources of bias related to survey
design.
The course introduces students quantitative research. The course is organized into two parts. In part one, the quantitative research paradigm is highlighted, along with issues related to
research ethics and research quality. Thereafter, emphasize is given on survey
research design as one of the most common quantitative research strategies. More concretely, typical steps in survey research design are presented and applied. In the second part of the course, various methods of data analysis are
presented. There will be exercises in descriptive and inferential statistical analysis, using
real-world survey data. The important part of the course is to engage
students in the identification of potential sources of bias related to survey
design.
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