Basic statistics

MA level studies

English Philology Teacher Training Programme

semester 1

full-time studies

academic profile

obligatory courses

(in Polish) Realizowany w sali

ECTS points in relation to student’s duties

total number of ECTS points: 5

1 ECTS – 30 hours: participation in classes,

4 ECTS – 120 hours: preparation to class with direct participation of the teacher

Course description

Basic statistics is a course dedicated to basic notions in statistical analysis of data.

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

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.

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)

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