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Multivariate Statistics and Modelling in Psychology II
Study Course Description
Course Description Statuss:Approved
Course Description Version:1.00
Study Course Accepted:13.01.2022 16:16:52
| Study Course Information | |||||||||
| Course Code: | VPUPK_332 | LQF level: | Level 8 | ||||||
| Credit Points: | 2.00 | ECTS: | 3.00 | ||||||
| Branch of Science: | Psychology | Target Audience: | Psychology | ||||||
| Study Course Supervisor | |||||||||
| Course Supervisor: | Jeļena Ļubenko | ||||||||
| Study Course Implementer | |||||||||
| Structural Unit: | Department of Health Psychology and Paedagogy | ||||||||
| The Head of Structural Unit: | |||||||||
| Contacts: | 5 J. Asara iela, Riga, LV-1009, vppk rsu[pnkts]lv | ||||||||
| Study Course Planning | |||||||||
| Full-Time - Semester No.1 | |||||||||
| Lectures (count) | 3 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 6 | ||||
| Classes (count) | 5 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 10 | ||||
| Total Contact Hours | 16 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Master's level experience in research, knowledge of statistical data processing methods. Multivariate statistics and modelling in psychology I. | ||||||||
| 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 factor analysis, regression analysis, mediation and moderation analysis to test the proposed hypotheses or to answer research questions, as well as the ability to report and interpret the results obtained. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Factor analysis | Classes | 1.00 | auditorium | |||||
| 2 | Regression analysis methods | Lectures | 1.00 | auditorium | |||||
| Classes | 1.00 | auditorium | |||||||
| 3 | Mediation and moderation analysis | Lectures | 1.00 | auditorium | |||||
| Classes | 1.00 | auditorium | |||||||
| 4 | Introduction to Structural Equation modelling (SEM) | Lectures | 1.00 | auditorium | |||||
| 5 | Methodological challenges in modern quantitative data analysis in psychology | Classes | 1.00 | auditorium | |||||
| 6 | Doctoral thesis research method | Classes | 1.00 | auditorium | |||||
| Assessment | |||||||||
| Unaided Work: | 1. to read the indicated sources independently; 2. to prepare a presentation about relevant methodological issue based on a scientific article from a journal in the field of research methodology in psychology; 3. to prepare and present the research methodology of the doctoral thesis (research scheme, research questions, instruments, data analysis methods, risk and threat assessment). | ||||||||
| Assessment Criteria: | • Participation in practical classes (10%); • The student participates in a reasoned discussion about the application of statistical methods in psychological research and the limitations of their use (10%); • Individual tasks are completed and submitted on time and meet the requirements (contain the necessary information, the results are shown and analysed correctly, the corresponding terminology is used) (presentation on the methodology problem – 40%; presentation of doctoral thesis method – 40%). | ||||||||
| Final Examination (Full-Time): | Exam (Oral) | ||||||||
| Final Examination (Part-Time): | |||||||||
| Learning Outcomes | |||||||||
| Knowledge: | After completing the course, the student will be able to use the correct terminology of mathematical statistics; explain the differences between various univariate and multivariate statistical methods; describe statistical modeling. | ||||||||
| Skills: | Will be able to select scientific studies carried out in a quantitative strategy, explain the results reflected in the publication, taking into account the limitations of the research design; technically manage the execution of various statistical methods; analyze statistical indicators; correctly describe the obtained results. | ||||||||
| Competencies: | The student will be able to analyze the results of published research; use appropriate quantitative data processing methods to solve the tasks formulated in the study; analyze the obtained results of data processing and formulate correct conclusions, create a research scheme in the quantitative strategy and reasonedly discuss the risks and threats of the research, as well as offer options for mitigating them. | ||||||||
| Bibliography | |||||||||
| No. | Reference | ||||||||
| Required Reading | |||||||||
| 1 | Abbott, M. L. (2016). Using statistics in the social and health sciences with spss and excel. | ||||||||
| 2 | Denis, D. J. (2015). Applied univariate, bivariate and multivariate statistics. | ||||||||
| 3 | Zinātniskās darbības metodoloģija: Starpdisciplināra perspektīva. Rīga: RSU, 2021 | ||||||||
| 4 | Ārvalstu studentiem/For international students | ||||||||
| 5 | Abbott, M. L. (2016). Using statistics in the social and health sciences with spss and excel. | ||||||||
| 6 | Denis, D. J. (2015). Applied univariate, bivariate and multivariate statistics. | ||||||||
| 7 | The ultimate IBM® SPSS® Statistics guides. | ||||||||
| Additional Reading | |||||||||
| 1 | The ultimate IBM® SPSS® Statistics guides. | ||||||||
| 2 | Zinātniskie raksti no žurnāliem/Scientific articles from journals: The quantitative methods for psychology, Psychological Methods | ||||||||
| Other Information Sources | |||||||||
| 1 | Zinātniskie raksti no Scopus un Web of Science datu bāzēm atbilstoši promocijas darba tēmai./Scientific articles from Scopus and Web of Science databases according to the topic of the thesis. | ||||||||
