Course: Anthropological Research Data Analysis

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Course title Anthropological Research Data Analysis
Course code KSA/AAVX
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Podlena Jaroslav, Mgr. Ph.D.
Course content
(1) Types of variables (2) Descriptive statistics / tables (3) Descriptive statistics / graphs (4) Descriptive statistics / measures of position and variability (5) Properties of normal distribution (6) Statistical reasoning / confidence intervals (7) Statistical reasoning (introduction to hypothesis testing)

Learning activities and teaching methods
Lecture, Practicum
  • Contact hours - 52 hours per semester
  • Preparation for comprehensive test (10-40) - 35 hours per semester
  • Preparation for an examination (30-60) - 43 hours per semester
prerequisite
Knowledge
to describe the difference between qualitative and quantitative approach to research in the social sciences
to be aware of methods of quantitative data collection and questionnaire survey
Skills
to critically reflect and understand a professional text in the Czech language
critically reflect and understand a professional text in the English language
to work with MS Excel, although it does not necessarily control its basic functions
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to characterize and relate the methodology of quantitative analyzes
to distinguish types of data and design suitable graphical and numerical ways to describe their structure
to understand the concept of population, random selection
to explain the need for statistical reasoning (confidence intervals and hypothesis testing) in social disciplines
to understand the results of analyzes in the literature
Skills
to practically use appropriate basic methods of qualitative data evaluation
to master the basic functions of MS Excel
to decide on the correct analysis procedure
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Lecture
Self-study of literature
Textual studies
Skills
Practicum
Self-study of literature
Textual studies
Competences
Lecture
Practicum
Self-study of literature
Textual studies
assessment methods
Knowledge
Written exam
Test
Skills
Skills demonstration during practicum
Test
Seminar work
Competences
Written exam
Skills demonstration during practicum
Test
Seminar work
Recommended literature
  • Agresti, Alan; Finlay, Barbara. Statistical methods for the social sciences. Upper Saddle River : Pearson Prentice Hall, 2009. ISBN 978-0-13-027295-7.
  • Bernard, Harvey Russell. Research methods in anthropology : qualitative and quantitative approaches. Walnut Creek : Altamira Press, 1995. ISBN 0-8039-5245-7.
  • Disman, Miroslav. Jak se vyrábí sociologická znalost : příručka pro uživatele. Praha : Karolinum, 2000. ISBN 80-246-0139-7.
  • Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha : Portál, 2004. ISBN 80-7178-820-1.
  • Lepš, Jan; Šmilauer, Petr. Biostatistika. 2016. ISBN 978-80-7394-587-9.
  • Zar, Jerrold H. Biostatistical analysis. New Jersey : Prentice Hall, 1999. ISBN 0-13-081542-X.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester