Veidlapa Nr. M-3 (8)
Study Course Description
Publicly Available Research Databases for Scientific Work
Course Code
SL_035
Branch of Science
Mathematics; Theory of probability and mathematical statistics
ECTS
3.00
Target Audience
Communication Science; Information and Communication Science; Political Science; Sociology
LQF
All Levels
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Diāna Kalniņa
Structure Unit Manager
Andrejs Ivanovs
Structural Unit
Statistics Unit
Contacts
Baložu iela 14, Block A, Riga, statistika@rsu.lv, +371 67060897
About Study Course
Objective
To understand the possibilities of using publicly available research databases for their scientific work; to acquire skills to work independently with publicly available research databases in IBM SPSS.
Preliminary Knowledge
Basic computer skills.
Learning Outcomes
Knowledge
1.Acquired knowledge of the use of publicly available databases in scientific work, acquired or enhanced skills in quantitative research data processing using IBM SPSS; as well gained insight into basic elements of statistical analysis.
Skills
1.Upon completion of the course students will be able to find, evaluate and use in their scientific work publicly available research databases.
Competences
1.Will be able to use publicly available research databases in their research, make research hypotheses and draw statistically valid conclusions.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
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|
Every class will contain independent work. Outside of classes and lectures, students independently study literature and e-learning materials. Analysis of scientific publications for deepening the understanding of the study course.
|
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
Individually prepared processing and analysis of publicly available data. The examination paper is submitted in written form, as well as the end of the course is carried out in an oral presentation of independent work at auditorium.
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Study Course Theme Plan
FULL-TIME
Part 1
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Sources of publicly available databases and principles for their use
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Preparing a data file for working with SPSS
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Working with data – coding text responses, creating new variables, recoding numerical values, filters
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Working with data – coding text responses, creating new variables, recoding numerical values, filters
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Working with data – coding text responses, creating new variables, recoding numerical values, filters
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Basic activities of statistical analysis – frequencies, mean values, cross-tables
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Basic activities of statistical analysis – frequencies, mean values, cross-tables
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Basic activities of statistical analysis – frequencies, mean values, cross-tables
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Hypotheses and their verification
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Hypotheses and their verification
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Hypotheses and their verification
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Hypotheses and their verification
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Interpretation and visualization of results
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Interpretation and visualization of results
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Individual work presentation
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Individual work presentation
|
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
Pētniecība: teorija un prakse. (2016) K. Mārtinsones, A. Piperes, D. Kamerādes zin. red. Rīga: RAKA.
2.
A. Field. (2013). Discovering Statistics using IBM SPSS Statistics. 4th edition.
Additional Reading
1.
Krastiņš O., Ciemiņa I. (2003). Statistika. Rīga : LR CSP
Other Information Sources
1.
SPSS Tutorials
2.
The Statistical Package for the Social Sciences (SPSS)