Courses
Course title:
Introduction to Statistic in Educational Research
Faculty:
Faculty of Education
Department:
Department of Preprimary and Primary Education
Course code:
Credits:
6
Semester:
Winter / Summer
Level of study:
Mgr.
Format of study:
Seminar 2 [Hours/Week]
Name of the lecturer:
Language:
English
ISCED F broad:
Education
Annotation:
This course introduces students to the fundamental concepts and methods of statistical
analysis used in educational research. It covers both descriptive and inferential statistics,
focusing on how to collect, analyze, interpret, and present quantitative data in the context of
educational research. The course also addresses the application of statistical software
(PAST) and explores both univariate and multivariate analysis, hypothesis testing, and
regression modeling. By the end of the course, students will be equipped with the skills to
conduct independent statistical analysis and interpret results relevant to educational studies.
The goal of this course is to present statistics in the context of educational research as a
practical and useful tool, not only for the research component of student theses but also for
future teaching practice, such as action research. You will learn how to work with various
types of data, organize and visualize them, and most importantly, how to apply statistical
methods correctly for their evaluation. By using the free PAST software, you will be able to
perform a variety of statistical tests to assess differences between groups, analyze
relationships between variables, and interpret results in real-world educational contexts, all
without the need for complex formulas. The statistical software will "do the work" for you,
while you will learn which statistical method to use depending on the research question and
how to interpret the results clearly.
The course is divided into twelve topics, progressing from basic statistical concepts to more
advanced techniques, such as multifactorial analyses and regression models. Each topic
includes practical examples and step-by-step guides that demonstrate how to conduct
specific tests using the PAST statistical software and how to interpret the outputs so they are
clear and applicable to educational research. Additionally, each topic contains practical
exercises (assignments) with complete solutions, allowing you to thoroughly practice and
reinforce what you have learned.