|
Lecturer(s)
|
-
Podlena Jaroslav, Mgr. Ph.D.
|
|
Course content
|
(1) Data presentation (tables, graphs, position and variability measures) (2) Normal distribution (3) Confidence intervals (4) Evaluation of the relationship between categorical and numerical variables (t-tests, ANOVA) (5) Evaluation of the relationship between two categorical variables (good agreement test) (6) Evaluation of the relationship between two numerical variables (correlation and regression) (7) Introduction to multidimensional methods
|
|
Learning activities and teaching methods
|
Lecture, Practicum
- Contact hours
- 26 hours per semester
- Practical training (number of hours)
- 39 hours per semester
- Preparation for an examination (30-60)
- 30 hours per semester
- Graduate study programme term essay (40-50)
- 40 hours per semester
- Preparation for comprehensive test (10-40)
- 21 hours per semester
|
| prerequisite |
|---|
| Knowledge |
|---|
| to characterize and explain basic descriptive statistics (eg average, median, range) |
| to recognize professional work based on the methodology of quantitative surveys |
| Skills |
|---|
| to manage basic functions in MS Excel environment (or similar software) |
| to reflect critically and understand a professional text in the Czech language |
| to reflect critically and understand a professional text in the English language |
| to write technically and format professional text in MS Word (or similar software) |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| to propose basic methods for their evaluation according to the type of data |
| to explain the algorithm for testing hypotheses, the names of basic tests and their application to specific examples |
| Skills |
|---|
| to manage more advanced MS Excel functions |
| to create descriptive statistics for variables and format the resulting tables and graphs as usual in international professional journals |
| to use at least one statistical software and use it for basic data analysis |
| to understand and especially correctly interpret the results of analyzes published in the literature |
| to select a professional problem, obtain data, propose an analysis procedure and report on it in the form of a short text structured according to the rules of professional articles |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Group discussion |
| Textual studies |
| Self-study of literature |
| Skills |
|---|
| Practicum |
| Self-study of literature |
| Textual studies |
| Group discussion |
| Competences |
|---|
| Lecture |
| Practicum |
| Self-study of literature |
| Group discussion |
| Textual studies |
| assessment methods |
|---|
| Knowledge |
|---|
| Combined exam |
| Test |
| Skills |
|---|
| Test |
| Seminar work |
| Skills demonstration during practicum |
| Competences |
|---|
| Combined exam |
| Test |
| Seminar work |
| Skills demonstration during practicum |
|
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. Praha : Karolinum, 1998. ISBN 80-7184-141-2.
-
Efron, Bradley; Tibshirani, Robert J. An introduction to the bootstrap. Boca Raton : Chapman & Hall, 1993. ISBN 0-412-04231-2.
-
Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha : Portál, 2004. ISBN 80-7178-820-1.
-
Sokal, Robert R.; Rohlf, F. James. Biometry : the principles and practice of statistics in biological research. 3rd ed. New York : W.H. Freeman and Company, 2001. ISBN 0-7167-2411-1.
-
Tabachnick, Barbara G.; Fidell, Linda S. Using multivariate statistics. Boston : Pearson, 2013. ISBN 978-0-205-89081-1.
-
Wickham H., & Grolemund G. R for data science: import, tidy, transform, visualize, and model data.. Sebastopol: O'Reilly Media, 2016.
-
Zar, Jerrold H. Biostatistical analysis. New Jersey : Prentice Hall, 1999. ISBN 0-13-081542-X.
|