1. SylabUZ
2. Wydział Nauk Społecznych
3. semestr zimowy 2018/2019
4. Sociology - drugiego stopnia z tyt. magistra
5. Computer Data Development

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Computer Data Development - opis przedmiotu

Cel przedmiotu

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.

Wymagania wstępne

Zapisz zmiany

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Zakres tematyczny

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.

Metody kształcenia

Problem-solving laboratory method, the method of practical sessions

Efekty uczenia się i metody weryfikacji osiągania efektów uczenia się

Opis efektu	Symbole efektów	Metody weryfikacji	Forma zajęć

Warunki zaliczenia

 

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

Literatura podstawowa

 

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

Literatura uzupełniająca

1. Materials from the lecturer

Uwagi

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.

Zmodyfikowane przez dr Dorota Bazuń (ostatnia modyfikacja: 02-05-2018 13:18)