SOC758 Statistical Data Analysis with SPSS

Faculty of Social Studies
Spring 2013
Extent and Intensity
1/1. 10 credit(s). Type of Completion: zk (examination).
Teacher(s)
Beatrice Elena Chromková Manea, M.A., Ph.D. (lecturer)
prof. PhDr. Ladislav Rabušic, CSc. (lecturer)
Guaranteed by
prof. PhDr. Ladislav Rabušic, CSc.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies
Timetable
Thu 12:00–13:30 PC25
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 18 student(s).
Current registration and enrolment status: enrolled: 0/18, only registered: 0/18
fields of study / plans the course is directly associated with
there are 6 fields of study the course is directly associated with, display
Course objectives
Statistical Data Analysis with SPSS is a course intended for students with few or no experience with the statistical software SPSS. It is designed to introduce the basic statistics necessary to analyze data provided by various quantitative studies using this statistical package. 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.
Syllabus
  • 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. Z-scores
  • Seminar 6: Testing hypotheses. Inference statistics
  • Seminar 7: No class - 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 and graphic representation – how to work with CROSSTABS, CORRELATE – BIVARIATE, GRAPHS - SCATTERPLOT
  • 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 REDUCION → FACTOR ANALYSIS
  • Seminar 13: Basic linear regression – how to work with REGRESSION → LINEAR REGRESSION
Literature
    required literature
  • 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
  • Handbook of data analysis. Edited by Melissa A. Hardy - Alan Bryman. London: Sage Publications, 2004, xvii, 704. ISBN 0761966528. info
  • Miller, R.L. - SPSS for Social Scientists, Houndsmill: Palgrave, 2002
  • Antonius, R. - Interpreting quantitative data with SPSS, London: Sage Publications, 2003
    not specified
  • Bryman A., Duncan C. - Quantitative Data Analysis with SPSS Release 8 for Windows: a guide for social scientists, London, Routledge, 1999
  • NORUŠIS, M. J. SPSS 15.0 advanced statistical procedures companion. Upper Saddle River, N.J.: Prentice Hall, 2007, xiv, 418. ISBN 9780132447126. info
Teaching methods
The course will be given in the form of workshops, where both teacher and students give oral presentations. 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. There will be regular homework during the semester. Homework (including Output) should submitted no later by Wednesday (before the class). Turn the electronic documents (as either a *.doc file or a *.pdf file) into the homework vault in is.muni.cz (https://is.muni.cz/auth/el/1423/jaro2013/SOC758/ode/).
Assessment methods
The course ends with an exam based on the theoretical and practical issues presented during the semester: a written test (30 minutes) designed to evaluate the theoretical issues, and a practical test (60 minutes) aimed to evaluate SPSS usage in solving a statistical problem.
Language of instruction
English
Further Comments
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2007, Spring 2009, Autumn 2010, Spring 2012, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019.
  • Enrolment Statistics (Spring 2013, recent)
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