SylabUZ
| Course name | Computer-Based Data Analysis - SPSS |
| Course ID | 14.2-WP-SOC-SPSS |
| Faculty | Faculty of Social Sciences |
| Field of study | WNS - oferta ERASMUS / Sociology |
| Education profile | - |
| Level of studies | First-cycle Erasmus programme |
| Beginning semester | winter term 2020/2021 |
| Head faculty | Faculty of Social Sciences |
| ECTS credits to win | 4 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Class | 30 | 2 | - | - | Credit with grade |
Using computer and software application in social research, data computation; analyze and interpretation the result of an empirical study;
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 χ 2 , t test for independent samples.
Academically supervised student-governed problem oriented project work.
Multimedia learning process – using Power point presentations.
Computer workshop.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Individual assessment based on active participation during the course.
Written examination in form of a test. The assessment is performed in accordance with the point grading scale
Materials and tasks prepared and given by a director of studies.
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.
Modified by dr Jarosław Wagner (last modification: 08-07-2020 17:37)
