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Computer-Based Data Analysis - SPSS - course description

General information
Course name Computer-Based Data Analysis - SPSS
Course ID 0542-WP-PED-SPSS
Faculty Faculty of Social Sciences
Field of study WNS - oferta ERASMUS / Pedagogy
Education profile -
Level of studies Second-cycle Erasmus programme
Beginning semester winter term 2020/2021
Head faculty Faculty of Social Sciences
Course information
ECTS credits to win 5
Course type obligatory
Teaching language english
Author of syllabus
  • dr hab. Dorota Szaban, prof. UZ
  • dr Elżbieta Kołodziejska
Classes forms
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

Aim of the course

Using computer and software application in educational research, data computation; analyze and interpretation the result of an empirical study

Prerequisites

Completed statistical methods course.

Scope

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.

Teaching methods

Academically supervised student-governed problem oriented project work. Computer workshop.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Individual assessment based on active participation during the course and written examination. The assessment is performed in accordance with the point grading scale

Recommended reading

  1. E. Babbie, Basic of the social research. Chapman University, Wadswarth 2009.
  2. Pavkov T. W., Pierce K. A. (2005) Ready, set go! A guide to SPSS for Windows. (10th Ed.). Boston: McGraw-Hill Publishing 2009.

Further reading

Materials and tasks prepared and given by the lecturer.

Notes

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.


Modified by dr Jarosław Wagner (last modification: 08-07-2020 17:58)