Veidlapa Nr. M-3 (8)
Study Course Description
The Basics of the Statistical Data Processing Program IBM SPSS for Beginners. Simply About the Complicated
Course Code
SL_036
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 learn the basics of the statistical data processing program IBM SPSS; to acquire skills for independent use of the program to process and analyse one's own research work. To promote awareness of the importance of statistics in conducting and interpreting research.
Preliminary Knowledge
Basic computer skills.
Learning Outcomes
Knowledge
1.Acquired knowledge about IBM SPSS capability; research data processing and basic elements of the statistical analysis.
Skills
1.Skills to work with IBM SPSS, including using IBM SPSS for statistical analysis.
Competences
1.Student will be able to input and process research data independently in IBM SPSS; perform basic statistical analysis and draw statistically valid conclusions.
Assessment
Individual work
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Title
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% from total grade
|
Grade
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|---|---|---|
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1.
Individual work |
-
|
-
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Every class will contain independent work. Outside classes and lectures, students study literature and e-learning materials. Analysis of scientific publications for deepening the understanding of the study course.
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Examination
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Title
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% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
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|
At the end of the course, students do their own practical work.
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Study Course Theme Plan
FULL-TIME
Part 1
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
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|---|---|---|
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On site
|
Computer room
|
2
|
Topics
|
Preparing a data file for working with SPSS – data entry, description of variables.
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-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Preparing a data file for working with SPSS – data entry, description of variables.
|
-
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, correlations. Interpretation of results.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Basic activities of statistical analysis – frequencies, mean values, cross-tables, correlations. Interpretation of results.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Basic activities of statistical analysis – frequencies, mean values, cross-tables, correlations. Interpretation 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
|
Interpretation and visualization of results.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Individual work – from the data file to analytical conclusions about the research results. Work with a publicly accessible database.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Individual work – from the data file to analytical conclusions about the research results. Work with a publicly accessible database.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
24 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.
Moore, D. S. (2003). The basic practice of statistics. New York: W. H. Freeman & Company.
Other Information Sources
1.
SPSS Tutorial (for Beginners): Learn Online in Simple Steps
2.
SPSS Step-by-StepTutorial: Part 1