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About Study Course

ECTS:6
Course supervisor:Viktorija Perepjolkina
Study type:Part-Time, Full time
Course level:Bachelor
Target audience:Psychology
Language:Latvian
Study course description Full description, Part-Time, Full time
Branch of science:Psychology

Objective

To provide students with theoretical knowledge of data structures and the fundamental principles of psychometrics, while developing practical skills in the selection of data collection methods, the scientific development and adaptation of psychological tests, and the empirical evaluation of their psychometric properties using modern statistical analysis software.

Prerequisites

Theoretical Knowledge in Psychology:Understanding of the historical development of psychology, its major theoretical schools, and core processes (cognitive processes, emotions), which is essential for the evidence-based definition and operationalization of measurable constructs.Knowledge of the fundamental principles of the philosophy of science and logic, enabling the critical analysis of scientific argumentation and the formulation of logical conclusions regarding the utility of measurement instruments.Research Methodology and Statistics:Basic knowledge of mathematical statistics, including an understanding of data distributions, descriptive statistics (mean, standard deviation), and basic relationship analysis (correlation), which is a mandatory prerequisite for reliability and validity calculations.Understanding of research designs and data collection methods, as well as knowledge of research ethics standards and the legal aspects of personal data protection (GDPR).Core Academic Skills:Information Literacy: The ability to independently search for, select, and critically evaluate scientific literature and international publications on psychological assessment instruments in specialized databases.Foreign Language Proficiency (English): The ability to read and analyze scientific texts and test manuals in English, ensuring a high-quality instrument adaptation process.Digital Skills: Proficiency in office software (word processors, spreadsheets) and a readiness to master specialized statistical analysis software (e.g., JASP or Jamovi).

Learning outcomes

Knowledge

1.Identifies data types and measurement scales (nominal, ordinal, interval, and ratio), evaluating their applicability and constraints in statistical data processing.

Skills

1.Performs the adaptation of an instrument developed in a foreign language, ensuring linguistic, cultural, and conceptual equivalence.

Competence

1.Critically evaluates the psychometric quality of measurement instruments based on empirical evidence of reliability and validity.