Veidlapa Nr. M-3 (8)
Study Course Description
Statistical Methods of Data Processing in Psychology
Course Code
SL_022
Branch of Science
Mathematics; Theory of probability and mathematical statistics
ECTS
3.00
Target Audience
Psychology
LQF
Level 6
Study Type And Form
Full-Time; Part-Time
Study Course Implementer
Course Supervisor
Silva Seņkāne
Structure Unit Manager
Andrejs Ivanovs
Structural Unit
Statistics Unit
Contacts
23 Kapselu street, 2nd floor, Riga, +371 67060897, statistika@rsu.lv, www.rsu.lv/statlab
About Study Course
Objective
Introduction with basic data processing, statistical methods and its use, develop the ability to process and analyze the data obtained in a psychological research and interpret the results.
Preliminary Knowledge
General psychology, secondary level knowledge and mathematics and informatics.
Learning Outcomes
Knowledge
1.Students define mathematical statistics basic concepts, recognize the formulas, describe mathematical statistics techniques and methods, name and describe data analysis basic principles in program SPSS.
Skills
1.Students can process data and analyze statistical indicators, make correct conclusions.
Competences
1.Students are able to decide the use of appropriate data processing methods in each situation impose to prove hypothesis or research question clarification.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
Individual reading of given literature: preparation of presentation about one psychological research type;
home works, connected to psychological field data processing, interpretation and presentation;
preparing empirical article (quantitative research) presentation about statistical data processing methods.
|
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
For every missed lecture - summary has to be written using given literature (min. 1 A4 page).
Successful completion of computerized final test "SPSS program and its application in data processing in psychological research"
|
||
Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Psychological research. Types of research. Mathematical statistics use in psychology.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Workshop "Types of research and mathematical statistics use in psychology"
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data types, measures.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Data input and coding (IBM SPSS).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data primary processing.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Data primary processing (IBM SPSS).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Empirical distribution, its statistical indicators and graphical representations.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Parametric methods: t-test.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Stjudent`s t-test (IBM SPSS).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Non-parametric methods: Chi-Square test, Kolmogorov-Smirnov test
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Chi-Square test, Kolmogorov-Smirnov test (SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Correlation analysis.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Correlation analysis (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Non-parametric correlation methods
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Non-parametric connection research methods (IBM SPSS)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Computerized final test "IBM SPSS program and its use in data processing in psychological research"
|
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Psychological research. Types of research. Mathematical statistics use in psychology.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Workshop "Types of research and mathematical statistics use in psychology"
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data types, measures.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Data input and coding (IBM SPSS).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Data primary processing.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Data primary processing (IBM SPSS).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Empirical distribution, its statistical indicators and graphical representations.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Parametric methods: t-test.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Stjudent`s t-test (IBM SPSS).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Non-parametric methods: Chi-Square test, Kolmogorov-Smirnov test
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Chi-Square test, Kolmogorov-Smirnov test (SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Correlation analysis.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Correlation analysis (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Non-parametric correlation methods
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Non-parametric connection research methods (IBM SPSS)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Computerized final test "IBM SPSS program and its use in data processing in psychological research"
|
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam
Bibliography
Required Reading
1.
Metodiskie norādījumi kursa darbu un bakalaura darbu izstrādei psiholoģijas studentiem
2.
Zinātniskās darbības metodoloģija: starpdisciplināra perspektīva (2021) K. Mārtinsones un A. Piperes zin. red. Rīga: RSU.
3.
Kristapsone S. (2019). Statistiskās analīzes metodes pētījumā. Rīga: Turība.
4.
Field A. (2013) Discovering Statistics Using IBM SPSS Statistics. 4th ed. SAGE
Additional Reading
1.
Krastiņš O., Ciemiņa I. (2003). Statistika. Rīga : LR CSP.
2.
Krastiņš O. (2003) Ekonometrija. Rīga: LR CSP.
3.
Moore, D. S. (2003). The basic practice of statistics. New York: W. H. Freeman & Company.
Other Information Sources
1.
British Journal of Mathematical and Statistical Psychology. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)2044-8317
2.
Choosing the Correct Statistical Test in SAS, STATA and SPSS. https://stats.idre.ucla.edu/other/mult-pkg/whatstat/
3.
How to choose a statistical test. http://www.graphpad.com/www/book/choose.htm
4.
Selecting statistics. http://www.socialresearchmethods.net/selstat/ssstart.htm