Statistical analysis 2

studia drugiego stopnia

English Philology - Teacher Training Programme

semestr 3

studia stacjonarne

profil akademicki

fakultatywne

Realizowany w sali

ECTS points in relation to student’s duties

total number of ECTS: 3

1 ECTS = 30hrs in class

2 ECTS = 60hrs preparation to class with direct participation of teacher

Course description

The course in Statitical analysis 2 may either introduce students to the methodology of conducting research in the field of humanities and social sciences or be a continuation of Statitical analysis 1, in which case, it deepens students' knowledge of statistical analysis in humanities. The course focuses mainly on quantitative research, research methodology, theoretical issue, the method of communicating research results, etc.

Course objectives

- familiarising the students with the leading methods of statistical analysis used in research in applied linguistics

- deepening their knowledge of statitical analysis

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Course content - the depth of the content depends on whether the students are only introduced to the following statistical notions or they revise and deepen their knowledge of statistical analysis and statitical skills

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

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

Learning outcomes acc to PQF 2019

Knowledge:

The student knows and understands

1. in depth the 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 specialist terminology and take theoretical positions resulting from English studies in order to carry out statistical analysis (k_U01/P7S_UW)

3. refer to arguments and formulate logical conclusions using appropriate methods and extensive tools, including statistical analysis (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)

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