Quantitative data analysis 1900-5-ADI
The aim of the course is to familiarize students with the basic methods of collecting, processing and analyzing quantitative data in social and economic research. During the course, students will learn the basics of social science methodology. They will learn about quantitative research methods and popular data sources used in local government studies. The course will introduce basic descriptive statistics (measuring central tendency and dispersion), properties of the variable distributions, covariance and correlation, and the principles of index construction. Students also will learn the basics of statistical inference (estimation of the mean and standard error of the mean), preparing them for the application of more advanced quantitative methods.
Exercises held weekly in the computer lab supplement the content of the lecture and serve to develop basic skills in working with quantitative data. Students will learn useful functions of the Excel/Google spreadsheet. They will learn to construct simple databases, process data according to the research questions posed, calculate basic statistical parameters, and correctly visualize and interpret the results of their analyses.
Main fields of studies for MISMaP
Type of course
Mode
Prerequisites (description)
Assessment criteria
Methods: lecture, individual and group practical tasks, group project
Regular attendance is required to pass the exercises. It is permissible to have 1 absence per semester, regardless of the reason. In the case of subsequent absences, the class participant will be given an additional assignment to complete.
Attendance at lectures is not mandatory.
Final grade will be based upon a colloquium (test + test of practical skills) and graded homework performed during the semester.
The colloquium accounts for 70% of the exercise grade, the homework score accounts for 30% of the exercise grade.
The final exam of the lecture is in written form (test). The final course grade will be a weighted average of the exercise (60%) and lecture (40%) grades.
For both the colloquium and the exam, the following grading scale will be used:
100% - 90% very good
90% - 80% good+
80% - 70% good
70% - 60% sufficient+
60% - 50% sufficient
< 50% unsatisfactory
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: