Dec 13, 2019   10:51 a.m.      Lucia        
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Course syllabus BSPP90010 - SPSS System Application (FPS - 2019/2020 - post-graduate studies)

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University: Pan-european University
Faculty: Faculty of Psychology
Course unit code: BSPP90010
Course unit title: SPSS System Application
Planned learning activities and teaching methods:
lecture12 hours per semester of study (on-site method)

Credits allocated: 5
Recommended semester/trimester: 3
 
Level of study: 3.
Prerequisites for registration: none
 
Assessment methods:
written exam (100%)

Grades are awarded as follows:
A = 94-100 points = 1
B = 86-93 points = 1.5
C = 76-85 points = 2
D = 66-75 points = 2.5
E = 56-65 points = 3
FX = 0 - 55 points = 4
 
Learning outcomes of the course unit:
The course “SPSS System Application” provides a broad introduction to the basic and advanced methods of statistical data analysis using SPSS. The aim of this course is to provide the student with an understanding of univariate analysis and bivariate analysis, test of statistical significance and effect size statistics. The course focuses also on multivariate analysis including regression analysis, cluster analysis and factor analysis. Students will gain an understanding of when and why to use various statistical techniques as well as how to apply them, interpret their output, and graphically display the results.
 
Course contents:
Three dimensions of course methods: psychological, statistical (methods), technical - computer (SPSS)
Formulation of empirical research question in psychological research
Univariate analysis
Bivariate analysis – contingency, correlation ratio, modified correlation ratio
Bivariate analysis - Pearson r correlation, Spearman Rank-Order Correlation
Comparative research questions – tests of statistical significance
Comparative research questions - effect size statistics
Regression analysis
Cluster analysis
Factor analysis
Reporting results of statistical analysis in APA format
Psychological interpretation of research results (findings vs. conclusions)
 
Recommended or required reading:
Basic:
RITOMSKÝ, A. -- KOŠECKÁ, D. -- BOLEKOVÁ, V. Spracovanie kategorizovaných dát o obetiach násilia pomocou SPSS : metodická reflexia výskumu. 1st ed. Bratislava: IRIS, 2016. 286 p. ISBN 978-80-89726-64-6.
BOLEKOVÁ, V. -- KOŠECKÁ, D. -- RITOMSKÝ, A. Spracovanie kvantitatívnych dát o obetiach násilia pomocou SPSS : metodická reflexia výskumu. 1st ed. Bratislava: Iris, 2017. 191 p. ISBN 978-80-89726-96-7.
BROM, O. -- ŘEHÁK, J. SPSS. Praktická analýza dát. Brno: Computer Press, 2015. ISBN 978-80-2514-609-5.
GEORGE, D. -- MALLERY, P. IBM SPSS statistics 25 step by step. New York: Routledge, 2019. 386 p.

 
Language of instruction: Slovak
 
Notes:
 
Courses evaluation:
Assessed students in total: 6

ABCDEFX
100,0 %0 %0 %0 %0 %0 %
 
Name of lecturer(s): PhDr. Veronika Boleková, PhD. (examiner, instructor, lecturer)
prof. PhDr. Eva Gajdošová, PhD. (person responsible for course)
Last modification: 24. 7. 2019
Supervisor: prof. PhDr. Eva Gajdošová, PhD.


Last modification made by Mgr. Lenka Sekretárová on 07/24/2019.

Type of output: