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Multivariate Statistics and Modelling in Psychology I
Study Course Description
Course Description Statuss:Approved
Course Description Version:1.00
Study Course Accepted:13.01.2022 16:07:29
| Study Course Information | |||||||||
| Course Code: | VPUPK_331 | 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) | 5 | Lecture Length (academic hours) | 2 | Total Contact Hours of Lectures | 10 | ||||
| Classes (count) | 3 | Class Length (academic hours) | 2 | Total Contact Hours of Classes | 6 | ||||
| Total Contact Hours | 16 | ||||||||
| Study course description | |||||||||
| Preliminary Knowledge: | Master's level experience in research, knowledge of statistical data processing methods. | ||||||||
| 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. | ||||||||
| Topic Layout (Full-Time) | |||||||||
| No. | Topic | Type of Implementation | Number | Venue | |||||
| 1 | Quantitative research strategy in psychological research. Statistical thinking | Lectures | 1.00 | auditorium | |||||
| 2 | Measurement tools of the selected variable in modern research practice in psychology and analysis of their psychometric indicators | Classes | 1.00 | auditorium | |||||
| 3 | Application of basic statistical methods in modern psychological research | Classes | 1.00 | auditorium | |||||
| 4 | Statistical power analysis, statistical significance and effect size | Lectures | 1.00 | auditorium | |||||
| 5 | Analysis of variance (ANOVA) and related statistical methods | Lectures | 2.00 | auditorium | |||||
| Classes | 1.00 | auditorium | |||||||
| 6 | Cluster analysis and discriminant analysis | Lectures | 1.00 | auditorium | |||||
| Assessment | |||||||||
| Unaided Work: | 1. to read the indicated sources independently; 2. to define the research variables of the doctoral thesis, to find and analyse the existing research instruments according to their psychometric indicators; 3. to compile and present information on the use of statistical methods in psychological research related to the topic of the doctoral thesis. | ||||||||
| 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 research tools – 40%; presentation on the use of statistical methods – 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: | 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 data processing results and formulate correct conclusions, analyze the psychometric parameters of the research instruments, will be able to choose the appropriate instruments for the research purpose of the doctoral thesis. | ||||||||
| 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. | ||||||||
| Additional Reading | |||||||||
| 1 | The ultimate IBM® SPSS® Statistics guides. | ||||||||
| 2 | Zinātniskie raksti no žurnāliem: The quantitative methods for psychology, Psychological Methods | ||||||||
| 3 | Ārvalstu studentiem/For international students | ||||||||
| 4 | The ultimate IBM® SPSS® Statistics guides. | ||||||||
| Other Information Sources | |||||||||
| 1 | Zinātniskie raksti no Scopus un Web of Science datu bāzēm atbilstoši promocijas darba tēmai. | ||||||||
