Statistics lab 2.0
Informacje ogólne
Kod przedmiotu: | 2.5.E-STATLAB2 |
Kod Erasmus / ISCED: | (brak danych) / (brak danych) |
Nazwa przedmiotu: | Statistics lab 2.0 |
Jednostka: | Instytut Psychologii |
Grupy: |
Katalog przedmiotów dla studiów krótkoterminowych (Erasmus+ lub inne umowy o współpracy) |
Punkty ECTS i inne: |
(brak)
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Język prowadzenia: | angielski |
Literatura uzupełniająca: | English translations of the following literature will be provided to students during the course 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. |
Skrócony opis: |
The subject introduces students to the methodology of conducting research in the field of humanities and social sciences. The subject focuses mainly on quantitative research, research methodology, theoretical issue, the method of communicating research results, etc. |
Pełny opis: |
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 |
Literatura: |
English translations of the following literature will be provided to students during the course 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. |
Efekty uczenia się: |
K_W01 knows the terminology of statistics used in psychology, its application in related disciplines at an extended level; K_W02 has in-depth and expanded knowledge of the importance of statistics and research methodology in the discipline of psychology K_U01 has in-depth skills of observing, searching, processing and interpreting information on psychological and social phenomena of various nature, using statistical methods K_U04 has developed research skills: distinguishes between orientations in the methodology of psychological research, formulates and solves research problems, selects adequate methods and techniques, and constructs research tools; develops, presents and interprets research results, draws conclusions, indicates directions for further research within the selected subdiscipline of psychology; K_K02 is convinced of the necessity to follow the rules of professional ethics in statistical inference |
Metody i kryteria oceniania: |
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) + homework (a set of homework assignments allows you to increase the grade by 0.5) the final grade for individual forms of classes will be determined on the basis of the obtained number of points according to rules: • 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 |
Właścicielem praw autorskich jest Uniwersytet Opolski.