ESOn4010 Statistical Data Analysis with SPSS

Fakulta sociálních studií
jaro 2021
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
Rozvrh
Po 8:00–9:40 PC25
Předpoklady
! SOC758 Statistical Data Analysis &&SOUHLAS
Omezení zápisu do předmětu
Předmět je určen pouze studentům mateřských oborů.

Předmět si smí zapsat nejvýše 25 stud.
Momentální stav registrace a zápisu: zapsáno: 0/25, pouze zareg.: 0/25
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: Testing hypotheses. Inference statistics
  • Seminar 7: Reading week
  • Seminar 8: Univariate analysis – testing hypothesis and comparing groups using means – how to work with MEANS, T-Test, ANOVA
  • Seminar 9: Basic bivariate analysis – conditional tables – how to work with CROSSTABS
  • Seminar 10 Statistical correlation and its measurement – correlation coefficients – how to work with CROSSTABS, CORRELATE – BIVARIATE
  • Seminar 11: How to detect the influence of a third variable – working with sub-samples and partial coefficients – how to work with CORRELATE – PARTIAL CORRELATION
  • Seminar 12: Factor analysis – how to work with DATA REDUCTION → FACTOR ANALYSIS, 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, where both teacher and students give oral presentations. Students will practice new techniques of data analysis in SPSS in the second part of the lecture. Questioning, explaining, collaborating, and demonstrating will be used as teaching methods and strategies. Students are expected to complete weekly readings prior to class, prepare their weekly assignments, and attend classes and seminars. There will be some homework during the semester. Homework (including Output) should submitted no later by Sunday 10 a.m. Turn the electronic documents (as either a *.doc file or a *.pdf file) into the homework vault in is.muni.cz
Metody hodnocení
Conditions for passing the course:
1. Systematic work and written responses to homework
2. Active participation and systematic work during the seminars
3. Final test

Particular activities of students will be evaluated as follows:
30% - reading, responses and class participation
70% - 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. 60-90 minutes - to be decided) aimed to evaluate SPSS usage in solving a statistical problem.
Vyučovací jazyk
Angličtina
Informace učitele
Dr. Beatrice Chromková Manea manea@fss.muni.cz, Room 3.62 Office Hours: online by appointment
Další komentáře
Studijní materiály
Předmět je vyučován každoročně.
Předmět je zařazen také v obdobích jaro 2020, jaro 2022, jaro 2023, jaro 2024, jaro 2025.