Design of psychological research with elements of mathematical statistics
Course: Clinical Psychology and Fundamentals of Psychotherapy
Structural unit: Faculty of Psychology
Title
Design of psychological research with elements of mathematical statistics
Code
ОК 9
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2025/2026
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO1; PLO2; PLO3; PLO7; PLO10; PLO11; PLO13 The full list of Programme learning outcomes is given in the section "Programme Profile".
Form of study
Full-time form
Prerequisites and co-requisites
1. Know the main methods of psychological research
2. To be able to search for information in the scientific literature
3. To be able to use web browsers, office programs
Course content
The goal of the course is to introduce modern statistical methodology - structural equation modeling. Students will learn the basic concepts and skills that will allow them to build measurement models of psychological constructs, determine their quality, study the relationships of latent variables using the R programming language. The course is designed for clinical psychologists who plan to engage in scientific research using modern quantitative methods or get acquainted with modern foreign professional publications. An understanding of the types of design common in clinical psychology will contribute to the correct planning of scientific research. Basic skills of working with the statistical analysis language R, fundamentals of modeling with structural equations will provide an opportunity to check the quality of measurement models and their invariance, to carry out research on complex relationships of latent variables
Recommended or required reading and other learning resources/tools
. Bosniuk, V. F. (2020). Matematychni metody v psykholohii: kurs lektsii. Multymediine navchalne vydannia. Kh.: NUTsZU. 141 s.
2. Hudyma, U. V., Hudyma, O. V. (2023). Matematychni metody v psykholohii: osnovni poniattia ta pryklady: navchalnyi posibnyk [Elektronnyi resurs]. KamianetsPodilskyi: Kamianets-Podilskyi natsionalnyi universytet imeni Ivana Ohiienka. 150 s
3. Maiboroda, R. Ye. (2019). Kompiuterna statystyka: Pidruchnyk. VPTs «Kyivskyiuniversytet».
4. Foster, G., Lane, D., Scott D., Hebl, M. (2018). An Introduction to Psychological Statistics. University of Missouri, St. Louis. 271 p.
5. Gana, K., & Broc, G. (2019). Structural equation modeling with lavaan. ISTE Ltd ; JohnWilery & Sons, Inc.
6. Judd, C. M., McClelland, G. H., & Ryan, C. S. (2017). Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond (3rd edition). Routledge.
7. Kazdin, A. E. (2017). Research design in clinical psychology (Fifth edition). Pearson.
Planned learning activities and teaching methods
Writing scholar paper on th basis og own empirical research, standardized tests of knowledge, lectures, seminars, practical works, individual work
Assessment methods and criteria
Assessment methods: analytical report, creative assignments, practical tasks, project, final test.
Form of final assessment: examination.
The maximum number of points a student may receive on the examination is 40 points on a 100-point scale.
Format: written. Types of tasks: open-ended questions. The minimum passing score for the examination is 24 points.
Conditions for admission to the examination: a student is not admitted to the examination if they have earned fewer than 36 points during the semester.
The maximum number of points for coursework completed during the semester is 60.
Grading scale: 0-59 – fail; 60-74 – satisfactory; 75-89 – good; 90-100 – excellent.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline