1. SylabUZ
2. Faculty of Social Sciences
3. winter term 2018/2019
4. Sociology - Second-cycle studies leading to MS degree
5. Computer Data Development

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Computer Data Development - course description

Aim of the course

Preparing students to apply basic procedures for analysis of the survey data and their practical use: calculation, analysis and interpretation of the results of empirical research. Acquiring skills of using an IBM SPSS Statistics.

Prerequisites

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Scope

1. Preparation of quantitative research: construction of a measurement tool (questionnaire).

2. Preparation of survey data for analysis: Creating databases. Data entry and control.

3. Basic analysis of collected data: preliminary analysis of distributions - calculation of frequency, measures of central tendency and measures of dispersion, definition of multiple response sets, frequency calculation based on sets of multiple responses. Data conversion: recoding of variable values, counting occurrences of values, calculation of new values, conditional transformations.

4. Testing dependencies between variables: construction of cross tables, measure of significance of the compound, Chi-square, Student's t test in independent samples and in dependent tests.

5. Cross tables based on sets of multiple statements. Correlation of variables.

6. Work on your own research project: analysis of the results - preparation of the report.

Teaching methods

Problem-solving laboratory method, the method of practical sessions

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

 

FORM OF ASSESSMENT OF CLASSES	REMARKS
Grade	Yes
Written mid-term exam.	The grade consists of the average of grades obtained from three tests including: (1) creating a questionnaire in Word, creating a template for creating a database in Excel, creating a database in IBM Statistics SPSS, (2) frequency analysis of variables, procedure for recoding variables, variable covariability analysis (cross tables and chi-square test), (3) creating multiple response sets and their analysis; testing statistical hypotheses (t-Student) and exercises provided for in the program.
The scope of the material covering the mid-term exam	According to Syllabus, presented at the first class.
Criteria for grade assessment  for classes.	Classes grade will be the arithmetic mean of all three mid-term exams.

The final grade is the grade of the classes

Recommended reading

 

1. www.academia.dk/BilogiskAntroplogi/Eidemiologi/PDF/SPSS_Statistical_Analyses_using_SPSS.pdf
2. www.training-classes.com/programs/02/80/28059_statistics_an_introduction_for_beginners.php

Further reading

1. Materials from the lecturer

Notes

Students can receive, during the whole learning cycle, a licensed within ARIADNA program version of the IBM SPSS Statistics (new version each year) to be used in the implementation of their own projects.

Modified by dr Dorota Bazuń (last modification: 02-05-2018 13:18)