Research Methods in Social Sciences I
Course code
MIA1581
old course code
MIA1581
Course title in Estonian
Uurimismeetodid sotsiaalteadustes I
Course title in English
Research Methods in Social Sciences I
ECTS credits
2.5
Assessment form
assessment
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
The objective of the course is to give theoretical knowledge and practical skills for processing statistical data and caring out elementary data analysis with the aid of SPSS software. The course is also set up to develop ability to chose appropriate methods for analysis and presentation, as well as to understand and interpret correctly the meaning of statistical results.
Brief description of the course
Statistical data and preparation for analysis. Different types of data. Descriptive statistics: frequency and summary tables, statistics and charts. Relationships: measures of association and crosstables.
Population and sample. Statistical inferences: confidence intervals, tests of statistical significance: t test, chi-square test. Parametric and nonparametric tests.
Population and sample. Statistical inferences: confidence intervals, tests of statistical significance: t test, chi-square test. Parametric and nonparametric tests.
Learning outcomes in the course
Upon completing the course the student:
Course consists of lectures and practical classes where students are expected to be actively involved. In addition every student must submit home assignment, where s/he demonstrates the command of statistical data analysis techniques presented in the course.
Course consists of lectures and practical classes where students are expected to be actively involved. In addition every student must submit home assignment, where s/he demonstrates the command of statistical data analysis techniques presented in the course.
Teacher
lekt Katrin Niglas, assist Taivo Tuuling
Prerequisite course 1