Introduction to quantitative and qualitative data analysis programs

Individual, statistical population and sample Qualitative and quantitative characteristics Frequency distributions Weights, percentages, per thousand Position indicators of quantitative characteristics Mean, median and modal value Dispersion indicators of quantitative characteristics Amplitude, interquartile range deviation, Gini index, Mean deviation, standard deviation Using the computer in univariate statistical analysis Designing a short questionnaire and using SPSS and PSPP software to build a database (data from Sociology students will be used) Bivariate analysis of qualitative characteristics dichotomous characteristics Applications of the statistical independence table in the definition and calculation of association coefficients Association of nominal qualitative characteristics Association of ordinal qualitative characteristics Coefficient τa (of Kendall) and Coefficients τb and τc (of Kendall) Analysis, with SPSS and PSPP, of the association tables with dichotomous variables

Acquire, by the students, the skills of statistical analysis of sociological variables and of their relationships using mainly common statistical procedures, such as the study of frequency distributions and the association of qualitative characteristics (using the support of software dedicated to statistical analysis of data such as SPSS and PSPP