## PSY252 Statistical data analysis II

Faculty of Social Studies
Autumn 2015
Extent and Intensity
0/2. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Petra Daňsová (lecturer)
Mgr. Vít Gabrhel (lecturer)
doc. Mgr. Stanislav Ježek, Ph.D. (lecturer)
doc. Mgr. et Mgr. Jan Šerek, Ph.D. (lecturer)
Mgr. Jan Širůček, Ph.D. (lecturer)
Mgr. et Mgr. Dana Seryjová Juhová (seminar tutor)
Guaranteed by
doc. Mgr. Stanislav Ježek, Ph.D.
Department of Psychology - Faculty of Social Studies
Supplier department: Department of Psychology - Faculty of Social Studies
Timetable
each even Wednesday 8:00–9:30 P24
• Timetable of Seminar Groups:
PSY252/SA: each odd Wednesday 8:00–9:30 PC25, S. Ježek
PSY252/SB: each odd Wednesday 8:00–9:30 PC26, P. Daňsová, V. Gabrhel
Prerequisites
PSY117 Statistics
The knowledge of elementary concepts of statistical description and inference. Ability to test simple hypotheses on means, proportions and correlations.
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
there are 21 fields of study the course is directly associated with, display
Course objectives
At the end of the course the student should be able to perform basic statistical analyses using the SPSS software a to compose a written report on the results of the analyses. He/she should be able to make use of the basic multivariate methods - multiple regression, logistic regression, factorial ANOVA, ANOVA for repeated measures and factor analysis.
Syllabus
• 1. The analytic software environment of SPSS. 2. Statistical description using SPSS. 3. Testing means, proportions and correlations. 4. Multiple regression. 5. Logistic regression. 6. ANOVA, factorial ANOVA, ANCOVA. 7. ANOVA for repeated measures. 8. Factor analysis and elementary item analysis.
Literature
required literature
• FIELD, Andy P. Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll). 3rd ed. Los Angeles: Sage, 2009. xxxiii, 82. ISBN 9781847879073. info
Teaching methods
seminar, online discussion, discussion of team projects
Assessment methods
6 team analyses/projects during the term, active presence in seminars, individual final exam
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019.
• Enrolment Statistics (Autumn 2015, recent)