Veidlapa Nr. M-3 (8)
Study Course Description
Processing of Research Data
Course Code
SL_023
Branch of Science
General Psychology; Psychology
ECTS
3.00
Target Audience
Psychology
LQF
Level 6
Study Type And Form
Full-Time; Part-Time
Study Course Implementer
Course Supervisor
Evija Nagle
Structure Unit Manager
Andrejs Ivanovs
Structural Unit
Statistics Unit
Contacts
Baložu iela 14, Block A, Riga, +371 67060897, statistika@rsu.lv, www.rsu.lv/statlab
About Study Course
Objective
Develop knowledge, skills and competence in mathematical processing of research data to use statistical data processing methods in psychological research.
Preliminary Knowledge
The course “Statistical Data Research Processing Methods” completed.
Learning Outcomes
Knowledge
1.The student describes the basic concepts of mathematical statistics and their importance in psychological research.
Individual work and tests
Individual work
2.The student explains the types of data, measurement scales and principles of data preparation for statistical analysis.
Individual work and tests
Individual work • Examination
3.The student describes descriptive statistics, empirical distributions and principles of graphical data representation.
Individual work and tests
Examination
4.The student describes populations, samples, representativeness and sampling principles in psychological research.
5.The student explains the principles of formulating and testing statistical hypotheses, including the level of statistical significance and the interpretation of p-values.
Skills
1.The student prepares, enters and codes psychological research data for statistical analysis.
2.The student determines the types of data and measurement scales according to the research data.
Individual work and tests
Individual work
3.The student calculates descriptive statistics and creates empirical distributions.
4.The student creates and interprets graphical representations of data.
5.The student formulates statistical hypotheses, selects and performs appropriate statistical analyses in the JASP program.
Individual work and tests
Individual work
6.The student interprets the results of statistical analysis in the context of a psychological research.
Competences
1.The student independently chooses a statistical analysis method that is appropriate for the research question, hypotheses, type of data and measurement scale.
Individual work and tests
Examination
2.The student justifies the choice of statistical analysis method and evaluates its suitability in the context of a psychological research.
3.The student interprets the results of statistical analysis and formulates the corresponding conclusions of the psychological research.
Individual work and tests
Examination • Individual work
4.The student critically evaluates the choice of statistical methods, the interpretation of results and the validity of conclusions in publications of psychological research.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
50.00% from total grade
|
10 points
|
|
Students complete 6 practical works during the course. Each practical work is assessed on a 10-point scale. The total assessment of the practical works is formed by the average assessment of all six works, which constitutes 50% of the final assessment of the study course.
The average assessment of the six practical works on a 10-point scale constitutes 50% of the final assessment of the study course. |
||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
50.00% from total grade
|
10 points
|
|
The final test assesses students' knowledge of the basic concepts of mathematical statistics, data types and measurement scales, descriptive statistics, population and sample, statistical hypothesis testing, and the ability to interpret the results of statistical analysis in the context of psychological research. The test consists of 20 questions divided into 5 thematic blocks. Each thematic block contains 4 questions. For each correctly answered question, the student receives 0.5 points. The maximum possible score is 10 points.
Maximum score - 10 points. |
||
Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Lecture. Basics of data analysis in psychological research: study design, data preparation, descriptive statistics and statistical inference
Description
The lecture will cover the basic principles of data analysis in psychological research, types of data and preparation for analysis, descriptive statistics, assessment of data distribution, and statistical hypothesis testing. It will explain how to choose the most appropriate statistical method and correctly interpret the results in the context of a psychological study. |
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Lecture. Basics of data analysis in psychological research: study design, data preparation, descriptive statistics and statistical inference
Description
The lecture will cover the basic principles of data analysis in psychological research, types of data and preparation for analysis, descriptive statistics, assessment of data distribution, and statistical hypothesis testing. It will explain how to choose the most appropriate statistical method and correctly interpret the results in the context of a psychological study. |
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Lecture. Analysis of data from psychological research: descriptive statistics, comparison of groups, analysis of relationships and evaluation of psychometric properties of surveys.
Description
The lecture will cover the main stages of statistical data analysis in psychological research: data description, group comparison, correlation analysis and interpretation of results. The basic principles of psychometric evaluation of surveys will also be discussed: item and factor analysis, reliability and validity. |
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Lecture. Analysis of data from psychological research: descriptive statistics, comparison of groups, analysis of relationships and evaluation of psychometric properties of surveys.
Description
The lecture will cover the main stages of statistical data analysis in psychological research: data description, group comparison, correlation analysis and interpretation of results. The basic principles of psychometric evaluation of surveys will also be discussed: item and factor analysis, reliability and validity. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
1. Practical class. Analysis and publication of results of psychological research.
Description
In examples of scientific publications, students will analyse the study design, the statistical methods used, the tables of results and the interpretation of results. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
2. Practical class. Data preparation and coding for statistical analysis.
Description
Practically, data entry, coding, variable definition, data checking and preparation for analysis will be carried out in MS Excel and JASP environment. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
3. Practical class. Descriptive statistics and data visualization in JASP.
Description
Students will calculate measures of central tendency and dispersion, assess the distribution of data, and create appropriate graphical representations. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
3. Practical class. Descriptive statistics and data visualization in JASP.
Description
Students will calculate measures of central tendency and dispersion, assess the distribution of data, and create appropriate graphical representations. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
4. Practical class. Application of parametric statistical methods in JASP.
Description
Group comparisons will be performed using t-tests and analysis of variance (ANOVA), and statistical significance and effect size will be interpreted. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
5. Practical class. Application of nonparametric statistical methods in JASP.
Description
Students will choose and apply χ², Mann–Whitney, Wilcoxon and Kruskal–Wallis tests and interpret the results. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
6. Practical class. Psychometric analysis of surveys.
Description
Practically, the analysis of survey items, the assessment of internal consistency, the basics of factor analysis and the interpretation of the indicators of reliability and validity of the instrument will be carried out. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
6. Practical class. Psychometric analysis of surveys.
Description
Practically, the analysis of survey items, the assessment of internal consistency, the basics of factor analysis and the interpretation of the indicators of reliability and validity of the instrument will be carried out. |
Total ECTS (Creditpoints):
3.00
Contact hours:
24 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Lecture. Basics of data analysis in psychological research: study design, data preparation, descriptive statistics and statistical inference
Description
The lecture will cover the basic principles of data analysis in psychological research, types of data and preparation for analysis, descriptive statistics, assessment of data distribution, and statistical hypothesis testing. It will explain how to choose the most appropriate statistical method and correctly interpret the results in the context of a psychological study. |
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Lecture. Analysis of data from psychological research: descriptive statistics, comparison of groups, analysis of relationships and evaluation of psychometric properties of surveys.
Description
The lecture will cover the main stages of statistical data analysis in psychological research: data description, group comparison, correlation analysis and interpretation of results. The basic principles of psychometric evaluation of surveys will also be discussed: item and factor analysis, reliability and validity. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
1. Practical class. Analysis and publication of results of psychological research.
Description
In examples of scientific publications, students will analyse the study design, the statistical methods used, the tables of results and the interpretation of results. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
2. Practical class. Data preparation and coding for statistical analysis.
Description
Practically, data entry, coding, variable definition, data checking and preparation for analysis will be carried out in MS Excel and JASP environment. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
3. Practical class. Descriptive statistics and data visualization in JASP.
Description
Students will calculate measures of central tendency and dispersion, assess the distribution of data, and create appropriate graphical representations. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
4. Practical class. Application of parametric statistical methods in JASP.
Description
Group comparisons will be performed using t-tests and analysis of variance (ANOVA), and statistical significance and effect size will be interpreted. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
5. Practical class. Application of nonparametric statistical methods in JASP.
Description
Students will choose and apply χ², Mann–Whitney, Wilcoxon and Kruskal–Wallis tests and interpret the results. |
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
6. Practical class. Psychometric analysis of surveys.
Description
Practically, the analysis of survey items, the assessment of internal consistency, the basics of factor analysis and the interpretation of the indicators of reliability and validity of the instrument will be carried out. |
Total ECTS (Creditpoints):
3.00
Contact hours:
16 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
Metodiskie norādījumi kursa un bakalaura darbu izstrādei psiholoģijas studentiem
2.
Pētniecība: teorija un prakse. (2016). K. Mārtinsones, A.Piperes, D.Kamerādes red. Rīga: RAKA.
3.
Field, A., Van Doorn, J., & Wagenmakers, E. J. (2025). Discovering statistics using JASP. SAGE Publications Limited.
4.
Navarro, D. J., Foxcroft, D. R., & Faulkenberry, T. J. (2019). Learning statistics with JASP: A tutorial for psychology students and other beginners. Version12.
5.
Coolican, H. (2018). Research methods and statistics in psychology. Routledge.
Additional Reading
1.
Krastiņš, O., Ciemiņa, I. (2003). Statistika. Rīga: LR CSP.
2.
Krastiņš, O. (2003) Ekonometrija. Rīga: LR CSP.
Other Information Sources
1.
How to choose a statistical test.
2.
Selecting statistics.
3.
British Journal of Mathematical and Statistical Psychology.