Veidlapa Nr. M-3 (8)
Study Course Description
Quantitative Research Methods
Course Code
SUPK_148
Branch of Science
Sociology and social work
ECTS
6.00
Target Audience
Sociology
LQF
Level 7
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Ilze Koroļeva
Structure Unit Manager
Ieva Puzo
Structural Unit
Faculty of Social Sciences
Contacts
Dzirciema street 16, Rīga, szf@rsu.lv
About Study Course
Objective
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Preliminary Knowledge
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Learning Outcomes
Knowledge
1.-
Skills
1.-
Competences
1.-
Assessment
Individual work
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Individual work |
-
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-
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Examination
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Title
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% from total grade
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Grade
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|---|---|---|
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1.
Examination |
-
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-
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Study Course Theme Plan
FULL-TIME
Part 1
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Lecture
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Modality
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Contact hours
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On site
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Auditorium
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2
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Topics
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Lecture
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Lecture
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Modality
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Contact hours
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On site
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Auditorium
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2
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Topics
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Lecture
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Modality
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On site
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2
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Topics
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Lecture
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On site
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2
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Topics
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Lecture
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On site
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2
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Topics
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Lecture
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On site
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2
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Topics
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Lecture
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On site
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Computer room
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2
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Topics
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Lecture
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Modality
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Contact hours
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On site
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Computer room
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2
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Topics
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Class/Seminar
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Modality
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Contact hours
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On site
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Computer room
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2
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Topics
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Class/Seminar
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Contact hours
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On site
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Computer room
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2
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Topics
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Class/Seminar
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Modality
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Contact hours
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On site
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2
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Topics
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Class/Seminar
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Modality
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Contact hours
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On site
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Auditorium
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2
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Topics
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Class/Seminar
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Modality
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Location
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Contact hours
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On site
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Auditorium
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2
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Topics
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Class/Seminar
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Modality
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Contact hours
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On site
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Auditorium
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2
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Topics
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Total ECTS (Creditpoints):
6.00
Contact hours:
40 Academic Hours
Final Examination:
Exam
Bibliography
Required Reading
1.
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. London: SAGE.
2.
Mārtinsone, K., & Pipere, A. (red.) (2011). Ievadspētniecībā. Stratēģijas, dizaini, metodes. Rīga: Raka.
Additional Reading
1.
Kristapsone, S. (2008). Zinātniskā pētniecība studiju procesā. Rīga: Turība.
2.
Arhipova, I., Bāliņa, S. (2003) Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinātņu centrs 362 lpp.