Type of course: |
Elective (1 of 2) |
Language of instruction: |
Romanian |
Erasmus Language of instruction: |
English |
Name of lecturer: |
Vlad Zeno Millea |
Seminar tutor: |
Vlad Zeno Millea |
Form of education |
Full-time |
Form of instruction: |
Class / Seminary |
Number of teaching hours per semester: |
56 |
Number of teaching hours per week: |
4 |
Semester: |
Autumn |
Form of receiving a credit for a course: |
Grade |
Number of ECTS credits allocated |
4 |
Course aims:
Training students' abilities to build and manage correctly databases used by the usual statistical analysis software (Excel, SPSS, PSPP)
Correct use of basic techniques for multivariate analysis of qualitative data, especially association tables, with SPSS and PSPP programs
Acquisition of skills for sociological interpretation of statistical outputs ("the reading of" tables, graphs and indicators calculated using the SPSS or PSPP program)
Course Entry Requirements:
N/A
Course contents:
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
Teaching methods:
Lectures, conversations, demonstrations
Learning outcomes:
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
Learning outcomes verification and assessment criteria:
Elaboration of a paper for 2 hours that reflects 60% of the final grade and an analysis of a database that reflects 40% of the final grade
Recommended reading:
Alan Bryman,
Quantitative Data Analysis with IBM SPSS 17, 18 & 19, Taylor & Francis
, -
, 2011
, 408
Lokesh Jasrai,
Data Analysis Using SPSS, Sage Publications Pvt. Ltd
, -
, 2007
, -
William E. Wagner,
Using Ibm(r) Spss(r) Statistics for Research Methods and Social Science Statistics, Paperback, Sage Publications, Inc
, -
, 2017
, -