Statistical Methods in Social Research Ι

The course is an intensive introduction to the statistical analysis of social data. It covers the foundations of descriptive statistics, estimation and inference. Students are trained in the application of statistical techniques to real social science research problems using the SPSS computer package (no prior knowledge of SPSS is necessary). At the end of the course, the students should be able to carry out univariate and bivariate analysis and have an appreciation of regression. 


Evaluation: Essay.

Reading list:

  • Agresti, A. & Finlay, B., 1997. Statistical Methods for the Social Sciences. 3rd ed. London: Prentice Hall.
  • Blalock, H., 1972. Social Statistics. 2nd ed. New York: McGraw-Hill.
  • Byrne, D., 2002. Interpreting Quantitative Data. London: Sage Publications.
  • Field, A. 2013. Discovering Statistics Using IBM SPSS Statistics. 4th ed. London: Sage.
  • Fielding, J & Gilbert, N., 2000. Understanding Social Statistics. London: Sage.
  • Sirkin, M.R., 1999. Statistics for Social Scientists. 2nd ed. LondonSagePublications.
  • Wright, D.B., 2002. First Steps in Statistics. London: Sage Publications.

Moreover, the introductory texts of the series "Quantitative Applications in the Social Sciences, A Sage University Papers Series" are proposed.

Related scientific journals:

  • BMS Bulletin de Méthodologie Sociologique/Bulletin of Sociological Methodology
  • Journal of Survey Statistics and Methodology
  • Methoden, Daten, Analysen
  • Quality & Quantity
  • Statistical Journal of the IAOS
  • Survey Research Methods
  • The Greek Review of Social Research
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Optional Course