ESOn4010 Statistical Data Analysis with SPSS

Fakulta sociálních studií
jaro 2025
Rozsah
1/1/0. 10 kr. Ukončení: zk.
Vyučující
Beatrice Elena Chromková Manea, M.A., Ph.D. (přednášející)
Garance
Beatrice Elena Chromková Manea, M.A., Ph.D.
Katedra sociologie – Fakulta sociálních studií
Kontaktní osoba: Ing. Soňa Enenkelová
Dodavatelské pracoviště: Katedra sociologie – Fakulta sociálních studií
Předpoklady
! SOC758 Statistical Data Analysis
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 25 stud.
Momentální stav registrace a zápisu: zapsáno: 0/25, pouze zareg.: 0/25, pouze zareg. s předností (mateřské obory): 0/25
Jiné omezení: The course is designed for students with none or little experience in analyzing social data with SPSS.
Mateřské obory/plány
Cíle předmětu
Statistical Data Analysis with SPSS is a course intended for students with few or no experience with statistical software SPSS. The course is designed to introduce the basic statistics necessary to analyze data provided by various quantitative studies using SPSS. The course will offer students an overview of the following issues: 1) the basic notions in statistics - population, parameters, descriptive statistics, inferential statistics, sample, variables etc.; 2) creating data files in SPSS, 3) running statistical analysis, reading outputs and interpreting the results of the analysis.
Výstupy z učení
Students will be able to:
- explain basic notions in statistics
- demonstrate ability to build databases in SPSS
- employ basic SPSS in order to analyse data
Osnova
  • Seminar 1: Course management, introduction – strategies in statistical analysis: research problems and questions, measurement, variables
  • Seminar 2: Data display and databases. Working with databases - data files, entering data, merging files, syntax and output files – how to work with OPEN, SAVE, EDIT, VIEW, MERGE, UTILITIES in SPSS
  • Seminar 3: Variable transformation and selecting cases – how to work with TRANSFORM, RECODE, COMPUTE, COUNT, RANK CASES and SELECT CASES
  • Seminar 4: The basic of one-dimensional analysis – the distribution of categorical and continuous data – how to work with DESCRIPTIVE STATISTICS –FREQUENCIES, DESCRIPTIVES, EXPLORE, GRAPHS
  • Seminar 5: Normal distribution and normal standardized distribution
  • Seminar 6: Basic bivariate analysis – conditional tables – how to work with CROSSTABS
  • Seminar 7: Reading week
  • Seminar 8: Inference statistics. Chi-square test.
  • Seminar 9: Testing hypothesis and comparing groups using means – how to work with MEANS, T-Test, ANOVA
  • Seminar 10: Statistical correlation and its measurement – correlation coefficients – how to work with CROSSTABS, CORRELATE – BIVARIATE
  • Seminar 11: Factor analysis – how to work with DATA REDUCTION → FACTOR ANALYSIS
  • Seminar 12: Basic linear regression – how to work with REGRESSION → LINEAR REGRESSION
  • Seminar 13: Review; Q&A
Literatura
    povinná literatura
  • FIELD, Andy P. Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll). 3rd ed. Los Angeles: Sage, 2009, xxxiii, 82. ISBN 9781847879073. info
  • DE VAUS, D. A. Analyzing social science data. First published. London: SAGE Publications, 2002, xxiv, 401. ISBN 0761959386. info
    doporučená literatura
  • Miller, R.L. - SPSS for Social Scientists, Houndsmill: Palgrave, 2002
  • Antonius, R. - Interpreting quantitative data with SPSS, London: Sage Publications, 2003
  • Handbook of data analysis. Edited by Melissa A. Hardy - Alan Bryman. London: Sage Publications, 2004, xvii, 704. ISBN 0761966528. info
Výukové metody
The course will be given in the form of workshops. Students will practice new data analysis techniques in SPSS in the second part of the lecture. Questioning, explaining, collaborating, and demonstrating will be used as teaching methods and strategies. Students must complete weekly readings before class, prepare assignments, and attend classes and seminars.
Metody hodnocení
Conditions for passing the course:
1. Systematic work
2. Attendance
3. Final test

Particular activities of students will be evaluated as follows:
30% - reading, responses, and class work
10% - attendance
60% - final test

The course ends with a test based on the theoretical and practical issues presented during the semester: a written part (20 minutes) designed to evaluate the theoretical issues and a practical one (max. 90 minutes) to evaluate SPSS usage in solving a statistical problem.

None of the above activities is mandatory, but you must score at least 60 points out of 100 to pass the course.
Vyučovací jazyk
Angličtina
Informace učitele
Dr. Beatrice Chromková Manea manea@fss.muni.cz, Room 3.57 Office Hours: Wednesday 8:00-9:00
Další komentáře
Předmět je vyučován každoročně.
Výuka probíhá každý týden.
The course is designed for students with none or little experience in analyzing social data with SPSS.
Předmět je zařazen také v obdobích jaro 2020, jaro 2021, jaro 2022, jaro 2023, jaro 2024.