SOC418 Data Analysis

Faculty of Social Studies
Autumn 2010
Extent and Intensity
1/1/0. 10 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Martin Kreidl, Ph.D. (lecturer)
Guaranteed by
doc. PhDr. Ing. Radim Marada, Ph.D.
Division of Sociology – Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Timetable
each odd Thursday 12:00–15:40 PC25
Prerequisites
Basic knowledge of statistics and statistical analysis corresponding to compulsory course for sociology and psychology undergraduate majors. While no previous familiarity with the STATA software package is required, it is appreciated.
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 7 fields of study the course is directly associated with, display
Course objectives
The class presents the principles and practice of quantitative sociology and the analysis of quantitative data for the purpose of sociologically informed research. It shows general principles as well as concrete applications. The class has a creative component - students are required and encouraged to analyze data of their own. The methods covered range from simple OLS regression to models with qualitative dependent variables. STATA software is utilized in the course and analyses are illustrated in this package. Introductory knowledge of the software is welcome.
Syllabus
  • 1) Introduction: Statistics and sociology, principles of statistics and statistical inference 2) Principles and purpose of statistical data analysis 3) A crash-course in STATA 4) Linear correlation and regression, OLS 5) Multivariate regression 6) Multivariate regression cntd. 7) Multivariate regression -special analytical tasks 8) Regression diagnostics 9) Survey estimation 10) Logistic regression 11) Multinomial logistic regression 12) Final wrap-up, misc.
Literature
    required literature
  • AGRESTI, Alan and Barbara FINLAY. Statistical methods for the social sciences. 3rd ed. Upper Saddle River, N.J.: Prentice Hall, 1997, xiv, 706. ISBN 0136225152. info
  • ALLISON, Paul David. Multiple regression : a primer. Thousand Oaks: Pine Forge Press, 1999, xviii, 202. ISBN 0761985336. info
  • FOX, John. Applied regression analysis, linear models, and related methods. Thousand Oaks: SAGE Publications, 1997, xxi, 596. ISBN 080394540X. info
  • TREIMAN, Donald J. Quantitative data analysis : doing social research to test ideas. Edited by Deirdre D. Johnston - Thomas J. Grites. San Francisco: Jossey-Bass, 2008, xxxii, 443. ISBN 9780470380031. info
    recommended literature
  • LONG, J. Scott. The workflow of data analysis using stata. 1st ed. Texas: Stata Press, 2009, xxvii, 379. ISBN 9781597180474. info
  • ACOCK, Alan C. A gentle introduction to Stata. 2nd ed. College Station: Stata Press, 2008, xii, 333. ISBN 9781597180436. info
  • LONG, J. Scott and Jeremy FREESE. Regression models for categorical dependent variables using Stata. 2nd ed. Texas: Stata corporation, 2006, xxxii, 527. ISBN 9781597180115. info
  • KÖHLER, Ulrich and Frauke KREUTER. Data analysis using stata. College Station, TX: Stata Press, 2005, xviii, 378. ISBN 1597180076. info
  • RABE-HESKETH, Sophia. A handbook of statistical analyses using Stata. Edited by Brian Everitt. 3rd ed. Boca Raton: Chapman & Hall, 2004, xiii, 308. ISBN 1584884045. info
  • COHEN, Jacob. Applied multiple regression/correlation analysis for the behavioral sciences. 3rd ed. Mahwah: Lawrence Erlbaum Associates, 2003, xxviii, 70. ISBN 9780805822236. info
  • Getting started with Stata for Windows. College Station: Stata press, 2003, 190 s. ISBN 1-881228-77-0. info
  • HARDY, Melissa A. Regression with dummy variables. Newbury Park: SAGE Publications, 1993, vi, 90 s. ISBN 0-8039-5128-0. info
Teaching methods
The course takes the form of lectures, seminar discussions, and presentations. Students of full-time study will in addition have chance to try on the elementary application of the basic research procedures.
Assessment methods
A total 6 written mini-papers during the course of the term. Each minipaper is worth 5 points. Students must obtain at least 1 point for each exercise and a total of 20 points for all 6 exercises. A final analytical paper.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2009, Spring 2012, Spring 2013, Spring 2014, Spring 2015.
  • Enrolment Statistics (Autumn 2010, recent)
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