Quantitative Research MethodsLaajuus (2 cr)
Code: KLI1307
Credits
2 op
Objective
To understand basic concepts of quantitative research. To be able to use basic quantitative data analysis methods and interpret analysis results.
Enrollment
01.07.2022 - 04.09.2022
Timing
05.09.2022 - 21.10.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Contact teaching
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
Lappeenranta Campus
Teaching languages
- English
Seats
10 - 30
Degree programmes
- Bachelor's Degree Programme in International Business
Teachers
- Tuuli Mirola
Scheduling groups
- Lectures (Size: 0. Open UAS: 0.)
- Exam (Size: 0. Open UAS: 0.)
Groups
-
LLPREX22A
-
LLPRIB20S
-
LLPREX22KIB
Small groups
- Lectures
- Exam
Learning outcomes
To understand basic concepts of quantitative research. To be able to use basic quantitative data analysis methods and interpret analysis results.
Implementation and methods of teaching
Contact lessons on campus, data analysis assignments
Timing and attendance
Contact lessons on campus according to the timetable.
Learning material and recommended literature
Lecture material given by the teacher.
Exam retakes
Course exam on the last lessons.
Reexam dates annouced at the beginning of the course.
Learning environment
Contact lessons and Moodle
Student time use and work load
2 cr = 54 hours of student work: lectures 26 hours + self-studying and practicing
Contents
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.
Assessment criteria
Exam graded 0-5
Assessment scale
1-5
Assessment criteria: level 1 (assessment scale 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.
Assessment criteria: level 3 (assessment scale 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.
Assessment criteria: level 5 (assessment scale 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.
Enrollment
19.11.2021 - 14.01.2022
Timing
10.01.2022 - 25.02.2022
Number of ECTS credits allocated
2 op
Mode of delivery
Contact teaching
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
Lappeenranta Campus
Teaching languages
- English
Seats
10 - 40
Degree programmes
- Bachelor's Degree Programme in Tourism and Hospitality Management
Teachers
- Tuuli Mirola
Scheduling groups
- Luennot 1 (Size: 0. Open UAS: 0.)
- Tentti 1 (Size: 0. Open UAS: 0.)
Groups
-
LLPRHOMA20S
Small groups
- Luennot 1
- Tentti 1
Learning outcomes
To understand basic concepts of quantitative research. To be able to use basic quantitative data analysis methods and interpret analysis results.
Implementation and methods of teaching
Contact lessons on campus, data analysis assignments
Timing and attendance
Contact lessons on campus according to the timetable.
Learning material and recommended literature
Lecture material given by the teacher.
Exam retakes
Course exam on the last lessons.
Reexam dates announced at the beginning of the course.
Learning environment
Contact lessons and Moodle
Student time use and work load
2 cr = 54 hours of student work: lectures 30 hours + self-studying and practicing
Contents
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.
Assessment criteria
Exam graded 0-5
Assessment scale
1-5
Failed (0)
Failing to reach level 1 according to the evaluation criteria
Assessment criteria: level 1 (assessment scale 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.
Assessment criteria: level 3 (assessment scale 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.
Assessment criteria: level 5 (assessment scale 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.