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Course: Statistical Data Analysis

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Course title Statistical Data Analysis
Course code KSA/SAD
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study 3
Semester Winter and summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Fiedor David, doc. Mgr. Ph.D.
Course content
1. Introduction in use of computer for data analysis, basics use of the STATISTICA programme 2. One-dimensional analysis 3. Cardinal variables; means in subsamples 4. Bi-variational analysis - contingency table and chi-square distribution 5. Transformation of variables, selection of cases 6. Bi-variational analysis - measuring the power and significance of association of two variables 7. Correlation and regressive analysis 8. Comparison of means and analysis of variance 9. Control for another factor

Learning activities and teaching methods
Lecture, Demonstration, Training in job and motor Skils
  • Attendace - 24 hours per semester
  • Preparation for the Exam - 15 hours per semester
  • Homework for Teaching - 12 hours per semester
  • Preparation for the Course Credit - 9 hours per semester
Learning outcomes
The Statistical Analysis of data course introduces the students into the fundamental use of mass data using the STATISTICA programme system. The programme is designed for processing quantitative empirical data, creating one's own data sets and transmitting and using other data sets. The basic procedures introduced to the students include work with data, data matrix, data sets, one-way and manifold classification, creation of contingency tables and use of coefficients for measuring the power of correlation of two variables, correlation and regression analysis.
The aim of this course is to acquire basis skills in data analysis using the STATISTICA programme system. It means to create one's own data sets and to use other data sets. Students are able to manage data (construct of indexes etc.), to apply basic statistical procedures (one-way and manifold classification, creation of contingency tables and use of coefficients for measuring the power of association of two variables, correlation and regression analysis) and to interpret the analytical findings.
Prerequisites
Attendance of basic statistical course.

Assessment methods and criteria
Oral exam, Written exam

passing two tests (credit) and defence of outputs of one's work for exam
Recommended literature
  • On-line katalogy knihoven.
  • (2005). Statistica: základní příručka. Praha: StatSoft CR.
  • BLACK, Thomas R. (1999). Doing Quantitative Research in the Social Sciences: An Integrated Approach to Research Design, Measurement and Statistics.. London, Thousand Oaks: Sage Publications.
  • BRYMAN, Alan. . (2008). Social Research Methods.. Oxford: Oxford University Press.
  • Disman, M. 1993. Jak se vyrábí sociologická znalost. Praha: Karolinum..
  • Hanousek, J., Charamza, P. Moderní metody zpracování dat - Matematická statistika pro každého. Praha, Grada 1992..
  • Loučková, I. Analýza dat II s metodou LINDA ve společenskovědním výzkumu. Olomouc,UP 1996..
  • Loučková, I.:. Analýza dat. (Jednorozměrná rozložení číselného typu.) Olomouc 1992..
  • Loučková, I. 1991. Základní statistické přístupy v sociologickém výzkumu. Olomouc: UP..
  • Mareš, P., L. Rabušic, P. Soukup. (2015). Analýza sociálněvědních dat (nejen) v SPSS. Brno: Masarykova univerzita.
  • Meloun, M., Militký, J. Statistické zpracování experimentálních dat. Praha, Ars magna 1998..
  • Rabušic, L., Mareš, P. 1996. "Je česká společnost anomická." Sociologický časopis 32: 177-187..
  • Ryšavý, D. Pět P - První pomocník pro práci s počítačovým programem STATISTICA. (nepublikovaný manuskript) Olomouc, UP 2008..
  • Ryšavý, D. 2003. "Sociální distance vůči Romům. Případ vysokoškolských studentů." Sociologický časopis 39(1): 55-77..
  • Seger, J., Hindls, R., Hronová, S. Statistika v hospodářství. Praha, Manager/podnikatel 1998..
  • Swoboda, H. 1977. Moderní statistika. Praha: Svoboda..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Sociology (2016) Category: Social sciences 2 Recommended year of study:2, Recommended semester: -
Palacký University Olomouc, date of update: 09.06.2024 00:06.