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Objectives and competences

Goals: • Explain basic terms of advanced data analysis • Explain correlational studies • Explain the concept of (quasi)experiment • Explain hypothesis stating and testing • Explain parametric and non-parametric tests Competencies: • Design of data analysis project • Conducting advanced data analysis • Use of SPSS • Interpretation of analysis results • Improvement of business ideas and business itself based on analytics

Content (Syllabus outline)

• Introduction to advanced data analysis • Data: structure, measurements, presentation • Distributions • Experimental studies o Hypothesis testing o Hypotheses rejection o Test statistics • Parametric tests • Non-parametric tests

Learning and teaching methods

• Seminary work • Case studies • Problem based learning • Group work

Intended learning outcomes - knowledge and understanding

Knowledge and understanding: Students: • Understanding of statistical methods • Make distinction between correlational and experimental studies • Conduction of (quasi)experimental study • Use of SPSS • Use of appropriate statistical tests • Evaluation of statistical analyses’ results

Readings

George Argyrous. Statistics for Research: With a Guide to SPSS. SAGE Publications. 3rd Ed. ISBN 9781849205955 Tiffany Bergin. An Introduction to Data Analysis. Quantitative, Qualitative and Mixed Methods. Sage Publications. ISBN 9781446295151 / 9781446295144 »Seznam dodatnih študijskih materialov bo razdeljen študentom ob začetku predavanj. A list of additional study materials will be distributed when the module begins.«

Prerequisits

There are no prerequisites for this course.

  • red. prof. dr. BOŠTJAN BRUMEN, univ. dipl. inž. rač. in inf.

  • Written examination: 50
  • Computer skills: 50

  • : 20
  • : 15
  • : 55

  • Slovenian
  • Slovenian

  • TOURISM DESTINATIONS AND EXPERIENCES - 2nd