First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Human and Social Sciences and Cultural Heritage
SOCIOLOGICAL SCIENCES
Course unit
STATISTICS FOR SOCIAL RESEARCH
SPL1001371, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course First cycle degree in
SOCIOLOGICAL SCIENCES
SP1419, Degree course structure A.Y. 2010/11, A.Y. 2019/20
N0
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination STATISTICS FOR SOCIAL RESEARCH
Department of reference Department of Philosophy, Sociology, Education and Applied Psychology
E-Learning website https://elearning.unipd.it/scienzeumane/course/view.php?idnumber=2019-SP1419-000ZZ-2018-SPL1001371-N0
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit is available ONLY for students enrolled in SOCIOLOGICAL SCIENCES

Lecturers
Teacher in charge CINZIA MORTARINO SECS-S/01

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses SECS-S/01 Statistics 9.0

Course unit organization
Period First semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 9.0 63 162.0 No turn

Calendar
Start of activities 30/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2010 course timetable

Examination board
Board From To Members of the board
11 2019/20 01/10/2019 30/11/2020 MORTARINO CINZIA (Presidente)
DALLA VALLE ALESSANDRA (Membro Effettivo)
FURLAN CLAUDIA (Membro Effettivo)
10 2018/19 01/10/2018 30/11/2019 MORTARINO CINZIA (Presidente)
DALLA VALLE ALESSANDRA (Membro Effettivo)
FURLAN CLAUDIA (Membro Effettivo)

Syllabus
Target skills and knowledge: Ability in recognizing data type and structure in a social science problem. Application of marginal and relational techniques aimed at recognising forms of dependence, allowing prediction. Ability in results interpretation with reference to the specific context under study.
Examination methods: Written exam.
Course unit contents: 1). The statistical model: general aspects.
Introduction to statistics. Data sources. Direct data collection, types of statistical variables.
2). Qualitative variables
a) Univariate distributions. Graphical representations. Location of a distribution, mode, median. Variability and its measures.
b) Bivariate distributions: Joint, marginal and conditional. Stochastic independence. Association: Pearson index.
3). Quantitative variables
a) The univariate case. Frequency distributions, density. Graphical representations. Measures of location: mode, median, quantiles. Power means. Dispersion and global variability indicators: standard deviation, variance. Box-and-whiskers diagrams. Variability comparisons.
b) The bivariate case. Distributions: bivariate joint, marginal and conditional. Stochastic independence. Conditional means and variances. Covariance, correlation and linear constraints. Least squares method. Goodness-of-fit indexes, lack-of-fit. Residual analysis.
Textbooks (and optional supplementary readings)
  • BORRA S., DI CIACCIO A., Statistica. Metodologie per le scienze economiche e sociali, 3a ed.. Milano: McGrawHill Education, 2014. Capp. 1-7 e cap.16 Cerca nel catalogo
  • MORTARINO, C., Statistica. Esercizi per la ricerca sociale. Padova: CLEUP, 2017. ISBN 9788867877546 Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Working in group
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)

Sustainable Development Goals (SDGs)
Quality Education