Basic statistics 1.N2.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
Field of study
Student workload
Study level
Education profile
Type of course
The semester in which the subject is carried out
Mode
Course coordinators
Term 2024/25-Z: | Term 2023/24-Z: | Term 2022/23-Z: |
Learning outcomes
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)
Assessment criteria
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
Bibliography
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.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: