Quantitative methods of ada analyses in education 1600-SZD-N-MBI-PED
The aim of the subject is to learn advanced methods of statistical analyses used in education. The data analysis will be conducted with SPSS and Mplus.
The PhD. students will learn:
1. Most often used regression analyses;
2. Factor analysis (explorational, confirmational);
3. Constructing structural models (mediations and moderations);
4. Modelling growth curves;
5. Multilevel modelling.
Type of course
Course coordinators
Learning outcomes
WG_03 - scientific research methodology in the field of the social sciences
WK_02 - economic, legal, ethical and other relevant determinants of scientific activity in the field of the social sciences
Skills: Can:
UW_01 - make use of knowledge from various fields of science, in particular the social sciences in order to creatively identify, formulate and innovatively solve complex problems or perform tasks of a research nature, and in particular to: - define the purpose and object of scientific research in the field of the social sciences, formulate a research hypothesis, - develop research methods, techniques and tools and apply them creatively, - make inferences based on scientific findings
UW_02 - critically analysing and evaluating the results of scientific research in the field of the social sciences, expert and other creative work and their contribution to the advancement of knowledge
Social competences: Is ready to:
KK_01 - critically evaluating achievements within a given scientific discipline in the field of the social sciences
Assessment criteria
Description of requirements related to participation in classes, including the permitted number of explained absences; There are no primary requirements. The participants can be absent during one class.
Principles for passing the classes and the subject (including resit session):
- being present during the class
- being active during the class
- solving the tasks given during the class
- passing the final test
Methods for the verification of learning outcomes: Test - solving statistical tasks Maximum number of participants: according to the number of people in the group
Evaluation criteria:
To pass the test, the participant needs to have at least 51% of possible number of points.
Bibliography
Pallant J. (2020). SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS. Routlede.
Examples to currently published manuscripts, showing statistical problems and solutions.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: