Course: Statistical Methods of Data Processing

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Course title Statistical Methods of Data Processing
Course code USP/NP3ST
Organizational form of instruction Lesson + Seminary
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Obonya Juraj, Mgr. PhD.
Course content
- Measurement in pedagogy. - Data and their recording for quantitative analysis. - Data transformation. - Basic descriptive statistics. - Normal distribution. - Comparison of groups. - Correlation. - Basics of statistical induction. - Hypotheses. - Creating a selection for representative research. - Selected statistical tests. - Selected measures of material significance. - Tabular and graphical processing of analytical outputs. - Examples for practice.

Learning activities and teaching methods
Exercises on PC, Practice exercises
  • Participation in classes - 28 hours per semester
  • Term paper - 20 hours per semester
  • Preparation for course credit - 12 hours per semester
prerequisite
Knowledge
unspecified
unspecified
learning outcomes
data and information
data and information
basic forms of obtaining data from the field of education
basic forms of obtaining data from the field of education
editing and pre-processing options of the observed data
editing and pre-processing options of the observed data
descriptive and inferential statistics
descriptive and inferential statistics
determination and verification of statistical hypothesis
determination and verification of statistical hypothesis
Skills
explain the differences between data, data and information
explain the differences between data, data and information
explain the basic forms of data acquisition for their processing in education
explain the basic forms of data acquisition for their processing in education
explain the basic concepts of descriptive statistics
explain the basic concepts of descriptive statistics
establish and verify statistical hypotheses
establish and verify statistical hypotheses
process and present the evaluated results
process and present the evaluated results
teaching methods
Knowledge
Exercises on PC
Exercises on PC
Practice exercises
Practice exercises
assessment methods
Analysis of seminar paper
Analysis of seminar paper
Written examination
Written examination
Recommended literature
  • Field, A. P. Discovering statistics using IBM SPSS statistics: and sex and drugs and rock'n'roll (4th ed.). London: SAGE, 2013.
  • Gavora, P. Tvorba výskumného nástroja pre pedagogické bádanie. Bratislava: SPN, 2012.
  • Chráska, M., & Kočvarová, I. Kvantitativní metody sběru dat v pedagogických výzkumech. Zlín: Univerzita Tomáše Bati ve Zlíně, Fakulta humanitních studií, 2015.
  • Mareš, P., Rabušic, L., & Soukup, P. Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita, 2015.
  • Triola, M. F. Elementary statistics (Twelfth edition). Harlow: Pearson, 2014.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester