PSB_18 Data analysis

Faculty of Arts
Spring 2018
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: k (colloquium).
Teacher(s)
doc. PhDr. Martin Jelínek, Ph.D. (lecturer)
Mgr. Helena Klimusová, Ph.D. (lecturer)
Guaranteed by
PhDr. Zdenka Stránská, Ph.D.
Department of Psychology – Faculty of Arts
Supplier department: Department of Psychology – Faculty of Arts
Prerequisites
PSA_0SZ Comprehensive Examination
Statistical Methods I, II; thesis assigned; the data collection has been finished or will have been finished during the semester.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course follows the Statistical Methods I and II. The knowledge of these subjects is applied in the analysis of data from own projects. Specific issues of data analysis are consulted.
Learning outcomes
Students apply the knowledge base and the abilities acquired in the previous courses of statistics and methodology on data analysis of their own graduation research projects.
Syllabus
  • The aim of the course is to apply the knowledge base and the abilities acquired in the previous courses of statistics on students' own data of their graduation research projects. The course is based on individual consultations of data analysis of research projects. The statistical software, e.g. SPSS will be utilized.
Literature
  • HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. Páté, rozšířené vydán. Praha: Portál, 2015, 734 stran. ISBN 9788026209812. info
Teaching methods
Individual consultations.
Assessment methods
To pass the colloquium, a student has to make a project of the data analysis and conduct the data analysis and the interpretation of the results.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught each semester.
The course is taught: in blocks.
The course is also listed under the following terms Autumn 1998, Spring 2000, Spring 2001, Autumn 2001, Spring 2002, Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005, Autumn 2005, Spring 2006, Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Autumn 2018, Spring 2019.
  • Enrolment Statistics (Spring 2018, recent)
  • Permalink: https://is.muni.cz/course/phil/spring2018/PSB_18