Thematic seminar: Uses of data mining in psychological research WF-R-PS-STWDM
1. Introduction to modeling using data mining algorithms - basic information
2. Overview of Statistica's Data Miner package
3. Assumptions of modeling with the usage of Classification and Regression Tree (C&RT) algorithm
4. Building trees with usage of Classification and Regression Tree (C & RT) - Exercise 1
5. Building trees with usage of Classification and Regression Tree (C & RT) - Exercise 2
6. Building trees with usage of Classification and Regression Tree (C & RT) - Exercise 3
7. Building trees with usage of Classification and Regression Tree (C & RT) - Exercise 4
8. Building trees with usage of Classification and Regression Tree (C & RT) - Exercise 4
9. Assumptions of clustering analysis conducted by by data mining algorithms
10. Building the profiles using cluster analysis - exercises 1
11. Building the profiles using cluster analysis - exercises 2
12. Building the profiles using cluster analysis - exercises 3
13. Building the profiles using cluster analysis - exercises 4
14. Building the profiles using cluster analysis - exercises 5
15. Submission of final reports
Subject level
Learning outcome code/codes
Learning outcomes
Knowledge - the student correctly describes the operation of algorithms used to build decision trees.
Skills - the student selects the appropriate algorithms for data analysis; correctly interprets the results; knows how to search and select sources that will be used to enrich his knowledge and skills.
Competences - strives for reliable and compliant methodology for collecting empirical data and analyzing them using algorithms learned in class.
credits:
participation in classes: 20
preparation for the test: 10
Total hours: 30
NUMBER OF ECTS: 4
Bibliography
Nisbet, R., Elder, J., & Miner, G. (2009). Handbook of statistical analysis and data mining applications. Burlington, MA: Academic Press (Elsevier).
Elder, J., Hill, T., Miner, G., Nisbet, B., Delen, D., & Fast, A. (2012). Practical Text Mining and Statistical Analysis for Nono-structured Text Data Application. Oxford: Elsevier.
Szymańska, A. (2017). Wykorzystanie analizy skupień metodą data mining do wykreślania profili osób badanych w badaniach psychologicznych [Using cluster analysis in the data mining method to draw profiles of participants surveyed in psychological research]. Studia Psychologiczne.
Szymańska, A. (2017). Wykorzystanie algorytmów Text Mining do analizy danych tekstowych w psychologii [Usage of text mining algorithms to analyze textual data in psychology]. Socjolingwistyka.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: