Opinto-opas

Osaamistavoitteet

To understand basic concepts of quantitative research. To be able to use basic quantitative data analysis methods and interpret analysis results.

Toteutustapa ja opetusmenetelmät

Contact lessons on campus, data analysis assignments

Ajoitus ja läsnäolo

Contact lessons on campus according to the timetable.

Oppimateriaali ja suositeltava kirjallisuus

Lecture material given by the teacher.

Uusintamahdollisuudet

Course exam on the last lessons.
Reexam dates annouced at the beginning of the course.

Oppimisympäristö

Contact lessons and Moodle

Opiskelijan ajankäyttö ja kuormitus

2 cr = 54 hours of student work: lectures 26 hours + self-studying and practicing

Sisältö

Basic statistical concepts. Sampling. Measurement. Descriptive analysis: transformations, tables, graphs. Numerical descriptive measures: measures of central tendency, variation and shape. Statistical relationships: correlation, cross tabs. One sample tests. Repeated measurements, changes. Comparing groups.

Arviointimenetelmät

Exam graded 0-5

Arviointiasteikko

1-5

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

1 = Student understands the basic concepts of quantitative research and remembers their definitions. Student is able to use basic descriptive methods in analysing research data and read the respective research results.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

3 = Student understands the basic concepts quantitative research and is able to explain them. Student is able to use basic descriptive methods and statistical testing methods in analysing research data and interpret the respective results.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

5 = Student masters and is able to use of the basic concepts of quantitative research fluently. Student is able to justify the selection and use all the statistical analysis methods on the course. Student masters the interpretation of the respective analysis results as well as understands their practical implications.

Osaamistavoitteet

To understand basic concepts of quantitative research. To be able to use basic quantitative data analysis methods and interpret analysis results.

Toteutustapa ja opetusmenetelmät

Contact lessons on campus, data analysis assignments

Ajoitus ja läsnäolo

Contact lessons on campus according to the timetable.

Oppimateriaali ja suositeltava kirjallisuus

Lecture material given by the teacher.

Uusintamahdollisuudet

Course exam on the last lessons.
Reexam dates announced at the beginning of the course.

Oppimisympäristö

Contact lessons and Moodle

Opiskelijan ajankäyttö ja kuormitus

2 cr = 54 hours of student work: lectures 30 hours + self-studying and practicing

Sisältö

Basic statistical concepts. Sampling. Measurement. Descriptive analysis: transformations, tables, graphs. Numerical descriptive measures: measures of central tendency, variation and shape. Statistical relationships: correlation, cross tabs. One sample tests. Repeated measurements, changes. Comparing groups.

Arviointimenetelmät

Exam graded 0-5

Arviointiasteikko

1-5

Hylätty (0)

Failing to reach level 1 according to the evaluation criteria

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

1 = Student understands the basic concepts of quantitative research and remembers their definitions. Student is able to use basic descriptive methods in analysing research data and read the respective research results.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

3 = Student understands the basic concepts quantitative research and is able to explain them. Student is able to use basic descriptive methods and statistical testing methods in analysing research data and interpret the respective results.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

5 = Student masters and is able to use of the basic concepts of quantitative research fluently. Student is able to justify the selection and use all the statistical analysis methods on the course. Student masters the interpretation of the respective analysis results as well as understands their practical implications.