SOC708 Quantitative Data Analysis (with the use of SPSS PC)

Faculty of Social Studies
Autumn 2013
Extent and Intensity
2/1/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. PhDr. Ladislav Rabušic, CSc. (lecturer)
Mgr. Michal Šindelář (seminar tutor)
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
Prerequisites (in Czech)
SOC706 Methodology of social sciences || SPP315 Methodology of Science || SOC106 Methodology of Social Sciences
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course is taught at Bachelor study program. It will provide knowledge of basic concepts of statistics and the ability to analyse quantitative survey data using special statistical software SPSS (Statistical Packet for Social Sciences). During the course, students will learn how to record survey data, clean the data and transform the data. They will master procedures of descriptive analysis: univariate analysis; comparison of means; t-test; analysis of variance; inferential statistics nad hypothesis testing; bivariate analysis - crosstabulation and measurement of the strength of association/correaltion between two variables; elaboration and partial correlation; regression analysis; factor analysis. At the end of the course students will nor only be able to understand data analysis, they will be able to do it by themselves.
Syllabus
  • - Basic strategies of quantitative research: research questions, operationalization, variaables; - How to prepare data for the analysis using SPSS -(module files; edit, view, utilities - Distribution of categorical data and univariate analysis (module descriptive statistics - frequencies, explore); - Distribution of interval data and their analysis. - Transformation of data (module transform, recode, compute, count, rank cases); - Normal Distribution nad hypothesis testing - statistical inference; - Comparison of means: t-test, one-sample t-test; independent-samples t-test); analysis of variance; - Bivariate analysis -crosstabulation; - Strength of association - coefficients of association and correlation; - Spurious correlations, elaboration, partial correlation; - Linear regresion; - Factor analysis.
Literature
  • ŘEZANKOVÁ, Hana. Analýza kategoriálních dat. Vyd. 1. Praha: Oeconomica, 2005, 99 s. ISBN 8024509261. info
  • PALLANT, Julie. SPSS survival manual :a step by step guide to data analysis using SPSS for Windows (version 10 and 11). 1st pub. Buckingham: Open University Press, 2001, xvi, 286 s. ISBN 0-335-20890-8. info
  • BABBIE, Earl R., Fred HALLEY and Jeanne ZAINO. Adventures in social research : data analysis using SPSS for Windows 95/98. Thousand Oaks: Pine Forge Press, 2000, xxviii, 45. ISBN 0761986766. info
  • FIELD, Andy P. Discovering statistics using SPSS for Windows : advanced techniques for the beginner. 1st pub. London: SAGE Publications, 2000, xii, 496. ISBN 0761957553. info
  • BRYMAN, Alan and Duncan CRAMER. Quantitative data analysis with SPSS Release 8 for windows : a guide for social scientists. 1st. pub. London: Routledge, 1999, xvi, 303. ISBN 0415206979. info
  • ŘEZANKOVÁ, Hana. Analýza kategoriálních dat pomocí SPSS. Vyd. 1. Praha: Vysoká škola ekonomická, 1997, 78 s. ISBN 8070797282. info
  • NORUŠIS, M. J. SPSS introductory statistics : student guide. Chicago: SPSS, 1990, 420 s. ISBN 013178062X. info
Assessment methods
Lecture + exercises in computer rooms + homeworks; Exam: written test consisting of 2 parts: in the first one, students will be asked to explain basic statistical concepts and/or procedures of statistical analysis. In the second one, they will have to solve three statistical tasks using SPSS.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is taught: in blocks.
The course is also listed under the following terms Autumn 2000, Autumn 2001, Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018.
  • Enrolment Statistics (Autumn 2013, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2013/SOC708