Lecturers:

Asst. Prof. Armine Janyan, PhD

Course Description:

Competencies:

Upon completion of the course students will

know:

- terminology and logical structures that are used in statistics;

- main concepts underlying specific types of tests;

be able to:

- conduct tests and interpret results from the tests;

- read and understand statistical section in scientific literature.

Prerequisites:
none

Types:
Full-time Programmes

Types of Courses:
Lecture

Language of teaching:
English

Topics:

1. Variables and research design
2. Descriptive statistics
3. Probability, sampling and distributions
4. Hypothesis testing and statistical significance
5. Correlational analysis: Pearson's r
6. Analyses of differences between two conditions: the t-test
7. Issues of significance
8. Measures of association
9. Analysis of differences between three or more conditions
10. Analysis of variance with more than one IV
11. Regression analysis
12. Analysis of three or more groups partialling out effects of a covariate
13. Introduction to factor analysis
14. Introduction to multivariate analysis of variance (MANOVA)
15. Non-parametric statistics

Bibliography:

Dancey, C., & Reidy, J. (2020). Statistics Without Maths for Psychology 8th edition PDF ebook. Pearson Higher Ed.

Assessment:

test- 40 %

quiz - 30%

homework - 30%