Basic statistics 1.S2.EP.TTP.AP.18
Course objectives:
The course aims to introduce students to the research methodology using statistical methods in quantitative terms.
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Course content
1. Creating the database.
2. Types of variables and measuring scales.
3. Descriptive statistics (mean, median, mode, standard deviation, quartiles, minimum and maximum).
4. Data visualization - histograms.
5. t test for two independent tests.
6. t-test for two dependent samples.
7. Pearson r correlation.
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Methods of instruction/ forms of classroom activity:
presentation, ICT tools, statistical programme operation, individual tasks, group discussion, statistical analysis tasks
Kierunek studiów
Nakład pracy studenta
Poziom studiów
Profil kształcenia
Rodzaj przedmiotu
Semestr, w którym realizowany jest przedmiot
Tryb prowadzenia
Koordynatorzy przedmiotu
W cyklu 2023/24-Z: | W cyklu 2024/25-Z: | W cyklu 2022/23-Z: |
Efekty kształcenia
Learning outcomes acc to PQF 2019
Knowledge:
Students know and understand
1. the role of statistical analysis and research methodology in the development of humanities (k_W01/P7S/WG )
2. specialist terminology used in statistical analysis (k_W02/P7S_WG)
3. ethical principles that should be followed when carrying out scientific research (k_W07/P7S_WK)
Skills:
Students can
4. use statistical terms in the description of the obtained results (k_U01/P7S_UW)
5. critically interpret obtained results (k_U02/P7S_UW)
6. choose an appropriate statistical method and interpretation of the obtained results (k_U03/P7S_UW)
7. independently formulate research questions and research problems, and choose the appropriate method to verify them (k_U06/P7S_UK)
Social competences
Students are ready to
8. plan the research process (k_K01/P7S_KK)
9. behave ethically in reference to research and statistical analysis (k_K05/P7S_KR)
Kryteria oceniania
Forms of evaluation of learning outcomes
1. Active participation in classes - 20% of the final grade (outcome 1,2,3,4,5)
2. Practical test - performing tasks with the help of a statistical program - i.e. a test checking the practical use of knowledge / competence and skills - 60% of the final grade (outcome 2,4,5,6,7)
3. Homework (a set of homework [2] exercises entitles students to increase their grade by 0.5) - 20% of the final grade (outcome 5,6,7,8,9)
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
Literatura
Reading list:
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
Supplementary reading:
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.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: