| Literatura uzupełniająca: |
Students will receive an English script based on the following publications:
Brzeziński, J. (2005). Metodologia badań psychologicznych. Warszawa: Wydawnictwo Naukowe PWN.
Bedyńska, S., Brzezicka, A (red.). (2007). Statystyczny Drogowskaz. Warszawa: Wydawnictwo SWPS Academica.
Coe, R. (2002). It's the effect size, stupid: What effect size is and why it is important.
Cumming, G. (2013). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. Routledge.
Ferguson, G. A., Takane, Y. (2002). Analiza statystyczna w psychologii i pedagogice. Warszawa: Wyd. Naukowe PWN.
King B.M., Minium E.W. (2009) Statystyka dla psychologów i pedagogów. Warszawa: Wydawnictwo Naukowe PWN.
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| Literatura: |
Students will receive an English script based on the following publications:
Field, A. (2017). Discovering statistics using IBM SPSS statistics: North American edition. London: Sage.
Francuz P. i Mackiewicz R. (2006). Liczby nie wiedzą, skąd pochodzą. Przewodnik po metodologii i statystyce nie tylko dla psychologów. Lublin: KUL
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| Efekty uczenia się: |
K_W01 knows the terminology of statistics used in psychology, its application in related disciplines at an extended level;
K_W02 has in-depth and expanded knowledge of the importance of statistics and research methodology in the discipline of psychology
K_U01 has in-depth skills of observing, searching, processing and interpreting information on psychological and social phenomena of various nature, using statistical methods
K_U04 has developed research skills: distinguishes between orientations in the methodology of psychological research, formulates and solves research problems, selects adequate methods and techniques, and constructs research tools; develops, presents and interprets research results, draws conclusions, indicates directions for further research within the selected sub-discipline of psychology;
K_K02 is convinced of the necessity to follow the rules of professional ethics in statistical conclusions
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| Metody i kryteria oceniania: |
practical test - performing tasks with the help of a statistical program - i.e. a test checking the practical use of knowledge / competence and skills) + homework (a set of homework [2] exercises entitles students to increase their grade by 0.5)
the final grade will be determined based on the obtained number of points according to rules:
• 3.0: if the student scores above 60% points
• 4.0: if the student obtains above 75% of points
• 5.0: if the student scores above 90% points
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| Zakres tematów: |
1. Statistica programme interface, creating a database, types of variables and measurement scales.
2. Descriptive statistics (mean, median, mode, variance, standard deviation, minimum, maximum, frequencies) and data visualization
5. Student's t test - interpretation and application (t-test for one sample, t-test for independent samples, t-test for paired samples), test assumptions, calculation of results, interpretation, visualization of the differences).
6. Correlations - interpretation and use in research (Pearson's r)
7. Non-parametric tests - applications and interpretation (Mann-Whitney test, Wilcoxon test, Spearman's rho).
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