SylabUZ
| Nazwa przedmiotu | Computer – Based Data Analysis - SPSS |
| Kod przedmiotu | 14.2-WP-P-SPSS- 24 |
| Wydział | Wydział Nauk Społecznych |
| Kierunek | WNS - oferta ERASMUS / Pedagogika |
| Profil | - |
| Rodzaj studiów | Program Erasmus drugiego stopnia |
| Semestr rozpoczęcia | semestr zimowy 2024/2025 |
| Semestr | 1 |
| Liczba punktów ECTS do zdobycia | 6 |
| Typ przedmiotu | obowiązkowy |
| Język nauczania | angielski |
| Sylabus opracował |
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| Forma zajęć | Liczba godzin w semestrze (stacjonarne) | Liczba godzin w tygodniu (stacjonarne) | Liczba godzin w semestrze (niestacjonarne) | Liczba godzin w tygodniu (niestacjonarne) | Forma zaliczenia |
| Ćwiczenia | 15 | 1 | - | - | Zaliczenie na ocenę |
This is an introductory course in computer data analysis which teaches student the statistical package tools to input, calculate, analyze, and graphically present data. The course will equip the student with the skills needed to use basic statistical instruments widely used in every workplace.
Completed statistical methods course.
Introduction to quantity research: questionnaire preparation; SPSS capabilities.
Data collecting: start with SPSS - statistical and data management package for analysts and researchers; data input, coding, sampling error.
Base data analyze: frequencies, descriptive statistics: average, arithmetic mean, mean deviation. Raw score conversion: recoding, labeling, data reduction.
Variable relation testing: cross tabulation, test of significance, significance level, sampling distribution of χ2, t test for independent samples.
Academically supervised student-governed problem oriented project work. ComputerSelf-study with SPSS application workshop. Individual student work (e.g. reading and analysis) according to the teacher's instructions.
| Opis efektu | Symbole efektów | Metody weryfikacji | Forma zajęć |
Individual assessment based on active participation during the course. Final work as a written analytical task. The assessment is performed in accordance with the point grading scale.
Arthur Griffith (2010), SPSS for Dummies, 2nd edition, Wiley,
http://www.biometrica.tomsk.ru/lib/spss_dumm.pdf
Julie Pallant (2016), SPSS Survival Manual, https://dokumen.pub/spss-survival-manual-6nbsped-033526154x-9780335261543.html
Materials and tasks prepared and given by the lecturer.
Students get access to the newest version of IBM SPSS Statistic application every academic year
*The subject can be run every semester, in case there is not enough persons to make a group there will be individual class run during instructor hours.
Zmodyfikowane przez dr Andrzej Zygadło (ostatnia modyfikacja: 08-05-2024 12:53)
