Statistical analysis 1 1.N2.EP.TTP.AP.20
Course objectives
- familiarising the students with the leading methods of statistical analysis used in research in applied linguistics
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Course content
1. One-way analysis of variance (ANOVA) in an intergroup and intragroup schema [assumptions, post hoc calculation and contrast analysis, interpretation, visualization of differences].
2. Two-way analysis of variance (ANOVA) in an intergroup and intragroup schema [assumptions, post hoc calculation and contrast analysis, interpretation, visualization of differences].
3. Factorial ANOVA in an intergroup and intragroup schema [assumptions, post hoc calculation and contrast analysis, interpretation, visualization of differences].
4. Simple Regression analysis and its assumptions
5. Multiple Regression analysis and its assumptions
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Methods of instruction/ forms of classroom activity
presentation, discussion, case study, individual work, ICT tools, MSTeams, Statistica, SPSS, or other statistical programmes available
Kierunek studiów
Nakład pracy studenta
Poziom studiów
Profil kształcenia
Rodzaj przedmiotu
Semestr, w którym realizowany jest przedmiot
Tryb prowadzenia
Koordynatorzy przedmiotu
Efekty kształcenia
Learning outcomes acc to PQF 2019
Knowledge:
The student knows and understands
1. to a preliminary extent selected analytical and methodological tools used in philological studies with the application of statistics (k_W01/P7S_WG)
Skills:
The student is able to
2. use basic terminology needed to carry out statistical analysis (k_U01/P7S_UW)
3. use appropriate methods and tools of statistical analysis to work on research problems (k_U03/P7S_UW)
4. independently formulate research problems and use appropriate tools and methods to analyze them and discuss them with other specialists in the field of English philology, with particular emphasis on statistical analysis (k_U06/P7S_UK)
Social competences
The student is ready to
5. set priorities when carrying out statistical analysis (k_K01/P7S_KK)
Kryteria oceniania
Forms of evaluation of learning outcomes
1. Active participation in classes - 20% of the final grade (outcomes 1,2,3,4,5)
2. A practical test - performing tasks with the help of a statistical program - i.e. a test that checks the practical use of knowledge / competences and skills) - 55% of the final grade (outcomes 2,3,4)
3. Homework assignments (a set of homework assignments allows you to increase the grade by 0.5) - 25% of the final grade (outcomes 2,3,4,5)
Grading follows the criteria as listed:
• 3.0: if the student obtains more than 60% of the points
• 4.0: if the student obtains more than 75% of the points
• 5.0: if the student obtains more than 90% of the points
Literatura
Reading list:
Francuz P. i Mackiewicz R. (2006). Liczby nie wiedzą, skąd pochodzą. Przewodnik po metodologii i statystyce nie tylko dla psychologów. Lublin: KUL
Field, A. (2017). Discovering statistics using IBM SPSS statistics: North American edition. London: Sage
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.
English translations of the literature in Polish will be provided to students during the course if necessary
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: