Research methodology and basic statistics

2023/2024

Academic Year

ENG

Instruction in English

4

ECTS credits

Delivered by:

Department of Educational Programmes

Type:

Compulsory course

When:

1 year, 1 semester

Instructors

Zakharov, Andrey

Osin, Evgeny N.

Charkhabi, Morteza

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).