Veidlapa Nr. M-3 (8)
Study Course Description
Mathematical Statistics in Psychology
Course Code
SL_049
Branch of Science
Other Sub-Branches of Psychology; Psychology
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
Balozu Street 14A statistika@rsu.lv, www.rsu.lv/statlab
About Study Course
Objective
To present the basics of statistical data processing, statistical methods and the possibilities for their application, to develop the skills to process and analyse the data obtained from the psychological study and to interpret the results.
Preliminary Knowledge
General psychology, knowledge relevant to the level of secondary education in information and mathematics.
Learning Outcomes
Knowledge
1.Students define basic concepts of mathematical statistics, describe techniques and methods of mathematical statistics, name and describe basic principles of data analysis in Excel, Jasp
2.Manage data types and measures
Skills
1.Knows how to enter and encode data
2.Is able to calculate empirical distributions, their statistical characteristics and is able to produce graphic representations
Competences
1.Students are able to decide on the use of appropriate data processing methods in each particular situation, to prove the hypotheses put forward or to clarify research questions
2.Student is able to recognise elements of mathematical statistics and their application in research publications
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Analysis of the publication of a quantitative study in Psychology |
30.00% from total grade
|
10 points
|
|
2.
Working in classes |
20.00% from total grade
|
Test
|
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Final test |
50.00% from total grade
|
10 points
|
Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
1. Lecture Psychological study. Types of research. Application of mathematical statistics in psychology. Publication and presentation of research results.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Publication of psychological research results
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
Lecture: data types and measures. Initial processing of data
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Practice. Computer programs Jasp environment for research processing and analysis. Entering and encoding data. Initial processing of data
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
3. A lecture. Descriptive statistics: frequencies distributions and graphic representations thereof. Measures of central tendency, measures of dispersion, skewness and kurtosis
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
3. Practice calculation of descriptive statistics: empirical distributions and graphic representations . Measures of central tendency and dispersion, skewness un kurtosis
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
4. A lecture. Population and sample (sampling method and types, estimation of population parameters). Statistical hypotheses. Inferential Statistics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
4. Practice. Formulation of hypotheses in a psychology study, recognition in publications
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
5. A lecture. Parametric methods: student t test. Variance analysis (ANOVA)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
5. Practice. Parametric methods: student t test. Variance analysis (ANOVA)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
6. A lecture. Non-parametric methods: χ ² test. Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
6. Practice. Calculation of non-parametric methods: χ ² test. Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
7. A lecture. Relationship analysis: correlations. Measures of associations.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
7. Practice. Undertaking analysis: correlations. Measures of associations.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
8. A lecture. Analysis of publication of psychological research results from the point of view of statistical methods.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
8. Practice. Statistical methods in psychological research publications.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam
PART-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
1. Lecture Psychological study. Types of research. Application of mathematical statistics in psychology. Publication and presentation of research results.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
Publication of psychological research results
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
Lecture: data types and measures. Initial processing of data
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
Practice. Computer programs Jasp environment for research processing and analysis. Entering and encoding data. Initial processing of data
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
3. A lecture. Descriptive statistics: frequencies distributions and graphic representations thereof. Measures of central tendency, measures of dispersion, skewness and kurtosis
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
3. Practice calculation of descriptive statistics: empirical distributions and graphic representations . Measures of central tendency and dispersion, skewness un kurtosis
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
4. A lecture. Population and sample (sampling method and types, estimation of population parameters). Statistical hypotheses. Inferential Statistics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
4. Practice. Formulation of hypotheses in a psychology study, recognition in publications
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
5. A lecture. Parametric methods: student t test. Variance analysis (ANOVA)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
6. A lecture. Non-parametric methods: χ ² test. Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
7. A lecture. Relationship analysis: correlations. Measures of associations.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Study room
|
2
|
Topics
|
8. A lecture. Analysis of publication of psychological research results from the point of view of statistical methods.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam
Bibliography
Required Reading
1.
Mārtinsones K. un Piperes A. zin.red. 2021. Zinātniskās darbības metodoloģija: starpdisciplināra perspektīva. Rīga: RSU.
2.
Kristapsone S. 2019. Statistiskās analīzes metodes pētījumā. Rīga: Turība.
3.
Field A. 2024. Discovering Statistics Using IBM SPSS Statistics. 6th ed. SAGE