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Postgraduate course 2023/2024

Research methodology and basic statistics

Type: Compulsory course
Area of studies: Postgraduate Studies
Delivered by: Department of Educational Programmes
When: 1 year, 1 semester
Mode of studies: offline
Open to: students of one campus
Instructors: Morteza Charkhabi, Evgeny N. Osin, Andrey Zakharov
Language: English
ECTS credits: 4
Contact hours: 44

Course Syllabus

Abstract

The students are expected to have some undergraduate background in quantitative methods (Descriptive statistics vs. inferential statistics; Measures of central tendency and dispersion; Normal distribution and standard scores; Principles of statistical inference, central limit theorem, and sampling distributions; Standard errors (for means, difference between means, correlation, regression coefficient, etc.; z-tests and t-tests; Covariance, correlation, and simple linear regression (regression with only one predictor – interpreting the regression coefficient, standard error of estimate, variance explained, etc.); Statistical power and effect size (what they are and why they’re important); Chi- square Goodness of fit and Test of association (two-way design); One way ANOVA, factorial ANOVA, and within-subjects and mixed ANOVA; Planned comparisons (a priori), contrasts, post - hoc comparisons (a posteriori)) and research designs (Experimental vs. quasi-experimental designs, Threats to validity and experimental control, Statistical inference).