First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Human and Social Sciences and Cultural Heritage
EDUCATIONAL SCIENCES
Course unit
SOCIAL STATISTICS
SFO2042657, 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
EDUCATIONAL SCIENCES
SF1333, Degree course structure A.Y. 2011/12, A.Y. 2019/20
N0
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Degree course track FORMAZIONE E SVILUPPO DELLE RISORSE UMANE [001PD]
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination SOCIAL STATISTICS
Department of reference Department of Philosophy, Sociology, Education and Applied Psychology
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 can be chosen as Optional Course unit

Lecturers
Teacher in charge RENATA CLERICI SECS-S/05
Other lecturers SILVIA MEGGIOLARO SECS-S/05

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses SECS-S/05 Social Statistics 6.0

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

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 42 108.0 No turn

Calendar
Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2011 course timetable

Examination board
Board From To Members of the board
7 2019/20 01/10/2019 30/11/2020 CLERICI RENATA (Presidente)
BOCCUZZO GIOVANNA (Membro Effettivo)
MEGGIOLARO SILVIA (Membro Effettivo)
SCIONI MANUELA (Membro Effettivo)
6 2018/19 01/10/2018 30/11/2019 CLERICI RENATA (Presidente)
CASTIGLIONI MARIA (Membro Effettivo)
MEGGIOLARO SILVIA (Membro Effettivo)
OSTI SUSI (Membro Effettivo)

Syllabus
Prerequisites: Basic mathematical notions
Target skills and knowledge: Developing basic statistical notions and operational abilities (using a spreadsheet)finalized to the analysis of contexts and processes in socio-educative field.
Examination methods: Semi-structured test, composed of a theoretical part and a practical part (computer-based using Excel).
Assessment criteria: Aggregated final evaluation:
a) theoretical structured text (10 points);
b) practical part (computer-based exercises using Excel)(18 points);
c) homeworks (3 points).
Course unit contents: I-Data collection
Choices and problems about data collection for quantitative research; operationalization of concepts; variables, statistic units, population, sample.
II - Descriptive statistical analysis
Statistical description of a collective: from data collection to matrix of data. Univariated analysis: frequence tables, graphic representation, average and variability measures, shape of distribution. Bivariated analysis: double entrance tables, conditioned profiles analysis and association measure; scatter diagram, linear regression and correlation.
III - From measure to assessment. Aggregated indexes.
IV - Data analysis using a spreadsheet (Excel).
Data analysis through the application of “Excel” procedures and statistical functions and reporting of the principal results.
Planned learning activities and teaching methods: Lectures and statistical-information laboratory with the use of “Excel”. Attendance is highly recommended, laboratory hours in particular.
Homeworks and formative assessment.
Additional notes about suggested reading: In the Moodle platform of the School of Human and Social Sciences and Cultural Heritage: https://elearning.unipd.it/scienzeumane/
you can find the didattic materials.
Textbooks (and optional supplementary readings)
  • Corbetta P., Gasperoni G., Pisati M., Statistica per la ricerca sociale. Bologna: il Mulino, 2001. Capitoli 1-6 e 10. Cerca nel catalogo
  • Giuliani D., Dickson M.M., Analisi statistica con Excel. Santarcangelo di Romagna (RN): Maggioli Editore, 2015. Capitoli 1-4. Cerca nel catalogo
  • Agresti A., Finlay B., Statistical Methods for the Social Sciences. --: Pearson, 2009. Capp. 1-3, 8-9 (This is a textbook in English for Erasmus students) Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Problem solving
  • Auto correcting quizzes or tests for periodic feedback or exams
  • Use of online videos
  • 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 Decent Work and Economic Growth