Veidlapa Nr. M-3 (8)
Study Course Description
Quantitative Research Methods in Psychology (Multivariate Statistics and Modelling)
Course Code
VPUPK_312
Branch of Science
Clinical Psychology; Psychology
ECTS
3.00
Target Audience
Psychology
LQF
Level 8
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Jeļena Ļubenko
Structure Unit Manager
Kristīne Mārtinsone
Structural Unit
Department of Health Psychology and Paedagogy
Contacts
Riga, 5 J. Asara Street, vppk@rsu.lv, +37167061587
About Study Course
Objective
To deepen understanding of the statistical methods used for data analysis in psychological research and to improve skills for their application in the processing and analysis of research results by developing the ability to independently decide on the use of appropriate statistical methods for checking the hypotheses put forward or for clarification of research questions.
Preliminary Knowledge
Master's level experience in research, knowledge of statistical data processing methods.
Learning Outcomes
Knowledge
1.Student uses correct terminology of mathematical statistics; explains the differences between various univariance and multivariance statistical methods; describes statistical modelling.
Skills
1.Selects the scientific research carried out in the quantitative strategy, explains the results described in the publication, taking into consideration the design constraints of the research; technically manages the application of various statistical methods; analyses statistical indicators; correctly describes the results obtained.
Competences
1.Analyses the results of the published research; uses appropriate quantitative data processing techniques to solve the tasks set forth in the study; analyses the obtained data processing results and formulates the correct conclusions, develops quantitative research scheme.
Assessment
Individual work
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Title
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% from total grade
|
Grade
|
|---|---|---|
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1.
Individual work |
-
|
-
|
|
1) to read the specified sources independently;
2) to select two studies carried out according to the quantitative research strategy using different multivariate statistical methods and to analyse the selected studies according to the given criteria and present the results (30%);
3) to analyse existing research instruments according to their psychometric indicators, to develop and present a research scheme (70%).
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||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
Individual work has been presented (the presentation contains the necessary information, the results are shown and analysed correctly, the corresponding terminology is used).
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Study Course Theme Plan
FULL-TIME
Part 1
-
Lecture
|
Modality
|
Location
|
Contact hours
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|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Statistical thinking. Classification of statistical methods used in the research. Comparison of univariance statistics and multivariance statistics. Statistical modelling.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Statistical thinking. Classification of statistical methods used in the research. Comparison of univariance statistics and multivariance statistics. Statistical modelling.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Dispersion analysis (ANOVA, MANOVA, MANCOVA, mixed design MANOVA).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Dispersion analysis (ANOVA, MANOVA, MANCOVA, mixed design MANOVA).
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Regression analysis: standard, sequential, step method. Mediation and moderation analysis.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Regression analysis: standard, sequential, step method. Mediation and moderation analysis.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Research scheme, psychometric properties of measuring instruments.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Research scheme, psychometric properties of measuring instruments.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
16 Academic Hours
Final Examination:
Exam (Oral)
Bibliography
Required Reading
1.
Abbott, M.L. (2016). Using statistics in the social and health sciences with spss and excel. Retrieved from: https://ebookcentral-proquest-com.db.rsu.lv
2.
Denis, D.J. (2015). Applied univariate, bivariate and multivariate statistics. Retrieved from: https://ebookcentral-proquest-com.db.rsu.lv
Additional Reading
1.
Brown, B.L., Hendrix, S.B., & Hedges, D.W. (2011). Multivariate analysis for the behavioral and social sciences: a graphical approach. Retrieved from: https://ebookcentral-proquest-com.db.rsu.lv
2.
Kenett, R.S., & Shmueli, G. (2016). Information quality: the potential of data and analytics to generate knowledge. Retrieved from: https://ebookcentral-proquest-com.db.rsu.lv
3.
Mārtinsone K., Pipere A. un Kamerāde D. (red.) Pētniecība: teorija un prakse. Rīga: RaKa
Other Information Sources
1.
British Journal of Mathematical and Statistical Psychology. Retrieved from: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)2044-8317
2.
Statistics tutorials. Retrieved from: www.statsoft.com/textbook/stathome.html
5.
Zinātniskie raksti no Scopus, Web of Science, PubMed u.c. datu bāzēm