Course: null

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Course title -
Course code CV/DPOKR
Organizational form of instruction Lecture + Seminary
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
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)
  • Kočvarová Ilona, Mgr. Ph.D.
Course content
Course content 1. Multiple linear regression. 2. Logistic regression. 3. Classification trees. 4. Introduction to structural modeling. 5. Path analysis. The content can be modified after consultation with the students.

Learning activities and teaching methods
unspecified
prerequisite
Knowledge
Successful completion of the course Quantitative Methodology is expected.
Successful completion of the course Quantitative Methodology is expected.
learning outcomes
principles of using quantitative analytical procedures
principles of using quantitative analytical procedures
principles of presenting analytical results in social sciences
principles of presenting analytical results in social sciences
generally accepted quality indicators of implemented analytical procedures
generally accepted quality indicators of implemented analytical procedures
differences in statistical and substantive significance in the outputs of analytical procedures
differences in statistical and substantive significance in the outputs of analytical procedures
connections between the outputs of various analytical procedures
connections between the outputs of various analytical procedures
limits and errors in interpreting the outputs of analytical procedures
limits and errors in interpreting the outputs of analytical procedures
Skills
use various data analysis methods
use various data analysis methods
use appropriate analytical tools for hypothesis testing
use appropriate analytical tools for hypothesis testing
take into account the nature of research data when analyzing
take into account the nature of research data when analyzing
present the results of analytical procedures in accordance with APA methodological standards
present the results of analytical procedures in accordance with APA methodological standards
reflect on the limits of applied analytical procedures
reflect on the limits of applied analytical procedures
teaching methods
Knowledge
Exercises on PC
Exercises on PC
Practice exercises
Practice exercises
Individual work of students
Individual work of students
Skills
Exercises on PC
Exercises on PC
Individual work of students
Individual work of students
Practice exercises
Practice exercises
assessment methods
Knowledge
Written examination
Written examination
Analysis of seminar paper
Analysis of seminar paper
Recommended literature
  • Field, A. P. Discovering statistics using IBM SPSS statistics: and sex and drugs and rock'n'roll (4th ed.). London: SAGE, 2013.
  • RABUŠIC, Ladislav, Petr SOUKUP a Petr MAREŠ. Statistická analýza sociálněvědních dat (prostřednictvím SPSS). Brno, Masarykova univerzita. 2019.
  • Soukup, P. Pokročilá analýza dat v SPSS a AMOS. Masarykova Univerzita, 2022. ISBN 978-80-210-9935-7.


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