Veidlapa Nr. M-3 (8)
Study Course Description
Statistical Methods of Data Processing in Psychology
Course Code
SL_135
Branch of Science
Other social sciences
ECTS
6.00
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
Introduce the basics of statistical data processing, statistical methods, and their applications, develop the skill to process and analyze data obtained in psychological research, and interpret the results.
Preliminary Knowledge
General psychology, knowledge of information and mathematics corresponding to the level of secondary education.
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.
2.Knowledge of data types and measurement scales
3.Know what empirical distributions are, their statistical characteristics and graphic representations,
4.Understand the testing of statistical tests
5.Differences between parametric and non-parametric tests
Skills
1.Students can process data and analyze statistical indicators, make correct conclusions
2.Knows how to enter and encode data
3.Is able to calculate empirical distributions, their statistical characteristics and is able to create graphic representations
4.Knows how to evaluate population parameters
5.Steps for testing statistical hypotheses
6.Know how to run t tests, ANOVA
7.Learn to draw up study results in APA style in tables and images
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
2.According to measurement level use of Measures of Central Tendency, Dispersion, Skewness, and Kurtosis
3.Understand where to choose t Test or ANOVA
4.Choose the appropriate parametric or non-parametric test
5.Know where the hi-square test and Kolmogorov-Smirnov test are used
6.Understand when correlation analysis should be used
7.Select and perform regression analysis as required by the study
8.Learn how to choose methods for studying non-parametric relationships
9.Learn how to apply factor analysis to psychology studies
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
Independent study of the specified literature |
||
|
2.
Quantitative study in Psychology |
30.00% from total grade
|
10 points
|
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
50.00% from total grade
|
10 points
|
|
Successfully completed computerized final test 'SPSS program and its application in data processing in psychological research' |
||
|
2.
Lecture and class attendance |
20.00% from total grade
|
10 points
|
Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Psychological research. Types of research. Mathematical statistics use in psychology.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
IBM SPSS Statistics Environment for Research processing and analyzing research.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Types of data and measurement scales.
|
|
Initial Data Processing
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
"Data Entry and Coding (IBM SPSS)"
|
|
Initial Data Processing (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Empirical Distributions and Their Statistical Characteristics and Graphical Representations
|
|
Measures of Central Tendency, Dispersion, Skewness, and Kurtosis
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Empirical Distributions and Their Conformity to Normal Distribution (IBM SPSS)
|
|
Calculation of Measures of Central Tendency, Variation, Skewness, and Kurtosis (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
7. Population and Sample (Sampling Method and Types, Estimation of Population Parameters)
|
|
Statistical Hypotheses
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Parametric Methods: t-Test
|
|
Parametric Methods: Analysis of Variance ANOVA
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Student's t-Test (IBM SPSS)
|
|
Analysis of Variance ANOVA (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Non-Parametric Methods: χ² Test, Kolmogorov-Smirnov Test
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
χ² Test, Kolmogorov-Smirnov Test (SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Non-Parametric Methods: Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Correlation Analysis
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Correlation Analysis (IBM SPSS)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Regression Analysis
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Regression Analysis (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Non-Parametric Methods for Relationship Investigation
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Non-Parametric Methods for Relationship Investigation (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
The Essence and Application of Factor Analysis in Psychology
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Factor Analysis (IBM SPSS)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Publication and Presentation of Research Results
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Seminar “Quantitative Research and Statistical Data Processing Methods in Scientific Articles”
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
Online
|
2
|
Topics
|
Computerized final test "IBM SPSS program and its use in data processing in psychological research"
|
Total ECTS (Creditpoints):
6.00
Contact hours:
48 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
|
IBM SPSS Statistics Environment for Research processing and analyzing research.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Types of data and measurement scales.
|
|
Initial Data Processing
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
"Data Entry and Coding (IBM SPSS)"
|
|
Initial Data Processing (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Empirical Distributions and Their Statistical Characteristics and Graphical Representations
|
|
Measures of Central Tendency, Dispersion, Skewness, and Kurtosis
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Empirical Distributions and Their Conformity to Normal Distribution (IBM SPSS)
|
|
Calculation of Measures of Central Tendency, Variation, Skewness, and Kurtosis (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
7. Population and Sample (Sampling Method and Types, Estimation of Population Parameters)
|
|
Statistical Hypotheses
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Parametric Methods: t-Test
|
|
Parametric Methods: Analysis of Variance ANOVA
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Student's t-Test (IBM SPSS)
|
|
Analysis of Variance ANOVA (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Non-Parametric Methods: χ² Test, Kolmogorov-Smirnov Test
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
χ² Test, Kolmogorov-Smirnov Test (SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Non-Parametric Methods: Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Computer room
|
2
|
Topics
|
Mann-Whitney Test, Wilcoxon Test, Kruskal-Wallis Test (IBM 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
|
Study room
|
2
|
Topics
|
Regression Analysis
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Regression Analysis (IBM SPSS)
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Non-Parametric Methods for Relationship Investigation
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Non-Parametric Methods for Relationship Investigation (IBM SPSS)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
The Essence and Application of Factor Analysis in Psychology
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Factor Analysis (IBM SPSS)
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Publication and Presentation of Research Results
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Study room
|
2
|
Topics
|
Seminar “Quantitative Research and Statistical Data Processing Methods in Scientific Articles”
|
-
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):
6.00
Contact hours:
48 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. (2024). Discovering Statistics Using IBM SPSS Statistics. 6th 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. (2021). The basic practice of statistics. New York: W. H. Freeman & Company.
Other Information Sources
1.
British Journal of Mathematical and Statistical Psychology.
2.
Choosing the Correct Statistical Test in SAS, STATA and SPSS.
3.
How to choose a statistical test.
4.
Selecting statistics.