703 Basic Methods for Quantitative (Statistical) Data Processing Using SPSS

703 Basic Methods for Quantitative (Statistical) Data Processing Using SPSS

  • Study programme and level: University degree programme Administration 1nd Cycle
  • 3th year
  • 6 ECTS
  • Course type: Elective
  • Lectures: 15
  • Individual work: 165
  • Lecturer: Jože Benčina, PhD


1. Objectives and competences


  • defines problem, asks survey research questions, and prepares empirical research to be processing with SPSS statistical software package,
  • efficiently uses SPSS statistical functions in quantitative analyses
  • analyses business cases and processes them statistically with SPSS
  • detects and illustrates relationships between variables, predicts and controls the values of variables using appropriate SPSS function
  • forms hypothesis, chooses and uses suitable hypothesis testing technique,
  • makes critical reflexion to research results and relates them to the practical situation in public sector.

Student is qualified:

  • to examine numerical data to grasp issues, draw conclusions, and solve problems;
  • to use IT equipment and statistical tools to proceed statistical research and create reports and presentation;
  • to identify key facts in a range of data;
  • to notice when data appear wrong or incomplete, or need verification;
  • to distinguish information that is not pertinent to a decision or solution;
  • to compare observations or finished work to what is expected to find inconsistencies
  • to grasp the meaning of statistical information, and apply it to situations at hand.

2. Content

  • Quantitative research in public sector
  • Quantitative data analysis design
  • The concept of data structures and their mastering by SPSS
  • Presentation of data and descriptive statistics with SPSS
  • How to discover and prove relationships between variables with SPSS
  • Analysis of sample data and statistical inference analysis with SPSS
  • Factor and cluster analysis
  • Interpretation of the results
  • Critical reflexion of the research results and fair research reporting

3. Readings

  • ARGYROUS, George (2006). Statistics for research: with a guide to SPSS. 2nd ed. / Reprinted. Thousand Oaks, London, Sage Publications, New Delhi. 401 str.
  • JOHNSON, Gail (2002)., Research Methods for Public Administrators. Quorum Books, Westport, 2002. 267 str.

4. Intended learning outcomes

Students will

  • understand importance of quantitative methods in empirical research

be able

  • to use of SPSS statistical software package functions in quantitative analyses;
  • to identify and use appropriate statistical functions of SPSS statistical software in empirical research
  • to reason through inductive and deductive thinking;
  • develop commitment to the critical reflexion to the empirical research results in terms to take into account only facts proved to be statistically significant.

5. Learning and teaching methods

  • lecture
  • seminar
  • e-learning

6. Assessment

  • written and/or oral exam (40%)
  • seminar work (project work,  seminar workpaper) and/or oral exam (40%)
  • coursework and active class participation (20%)