The course promotes the learning and use of appropriate methods of statistical analysis for the investigation in the educational field. In this context the use of tools, also of the IT type, is developed, suitable both for the collection of information and for their evaluation. The basic concepts of descriptive statistics are presented. The problems of synthesis (graphic and analytical) of the statistical information concerning a single variable or pairs of variables detected in a population are treated, distinguishing the approaches according to the qualitative or quantitative level of measurement.
The Laboratory promotes the learning of IT tools, suitable both for the collection of information and for their evaluation. It is proposed to provide students with the tools for the application of the main statistical methods through the Excel spreadsheet.
Knowledge and understanding
- to define and identify the epistemological and methodological field of the discipline;
- to distinguish the various theoretical fields with reference to univariate and bivariate descriptive approaches.
Applying knowledge and understanding
- analyze empirical context by identifying the type of information to be collected;
- formalize the data matrix and analyze it with the appropriate statistical methods.
Making judgements
- linking statistical theory to school situations;
- quantitatively evaluate pedagogical innovations.
Communication skills
- evaluate quantitatively the educational processes;
- report the results achieved.
Learning skills
- exercise availability for scientific research in school settings;
- access the statistical literature in education, identifying reliable sources.
The Laboratory promotes the learning of IT tools, suitable both for the collection of information and for their evaluation. It is proposed to provide students with the tools for the application of the main statistical methods through the Excel spreadsheet.
Knowledge and understanding
- to define and identify the epistemological and methodological field of the discipline;
- to distinguish the various theoretical fields with reference to univariate and bivariate descriptive approaches.
Applying knowledge and understanding
- analyze empirical context by identifying the type of information to be collected;
- formalize the data matrix and analyze it with the appropriate statistical methods.
Making judgements
- linking statistical theory to school situations;
- quantitatively evaluate pedagogical innovations.
Communication skills
- evaluate quantitatively the educational processes;
- report the results achieved.
Learning skills
- exercise availability for scientific research in school settings;
- access the statistical literature in education, identifying reliable sources.
Canali
teacher profile teaching materials
Mutuazione: 22910167 STATISTICA in Scienze dell'educazione per Educatori e Formatori L-19 A - L BOVE GIUSEPPE
teacher profile teaching materials
Arguments considered are: frequency distributions, graphics, measure of central tendency (mean, mode, median), measure of dispersion (standard deviation, variance, variation coefficient), statistical ratios , bivariate contingency tables, correlation analysis (covariance, correlation coefficient).
STATISTICS INTEGRATION (3 CFU)
Exercises on empirical data regarding statistical frequencies and percentages, tables, graphical representations, means and dispersion indices, variation percentages and index numbers, covariance and correlation.
BOVE G., Slide delle lezioni del Corso base di Statistica, (available on-line).
MARELLA D., Esercizi e domande di riepilogo di Statistica. (available on-line).
CORBETTA P., GASPERONI G., PISATI M., Statistica per la ricerca sociale, Il Mulino, Bologna, 2001.
CHAPTERS AND SECTIONS TO STUDY ON CORBETTA, GASPERONI E PISATI
Chap. 1: ALL Chap 2: ALL (EXCEPT: INDICE DI OMOGENEITÀ, Par. 6.) Chap 3: ALL (EXCEPT: Par. 4; Par 5.) Chap. 4: ALL Chap. 5: ALL (EXCEPT: Par. 2; Par 3; CHI-QUADRATO and V DI CRAMÉR; Subpar. 4.2; Subpar. 4.3 Subpar. 4.4; Par 5)
STATISTICS INTEGRATION (3 CFU)
Marella D., Dispensa Esercizi del Laboratorio di Statistica, pdf manuscript available on-line.
Programme
BASICS STATISTICS (6 CFU)Arguments considered are: frequency distributions, graphics, measure of central tendency (mean, mode, median), measure of dispersion (standard deviation, variance, variation coefficient), statistical ratios , bivariate contingency tables, correlation analysis (covariance, correlation coefficient).
STATISTICS INTEGRATION (3 CFU)
Exercises on empirical data regarding statistical frequencies and percentages, tables, graphical representations, means and dispersion indices, variation percentages and index numbers, covariance and correlation.
Core Documentation
BASICS STATISTICS (6 CFU)BOVE G., Slide delle lezioni del Corso base di Statistica, (available on-line).
MARELLA D., Esercizi e domande di riepilogo di Statistica. (available on-line).
CORBETTA P., GASPERONI G., PISATI M., Statistica per la ricerca sociale, Il Mulino, Bologna, 2001.
CHAPTERS AND SECTIONS TO STUDY ON CORBETTA, GASPERONI E PISATI
Chap. 1: ALL Chap 2: ALL (EXCEPT: INDICE DI OMOGENEITÀ, Par. 6.) Chap 3: ALL (EXCEPT: Par. 4; Par 5.) Chap. 4: ALL Chap. 5: ALL (EXCEPT: Par. 2; Par 3; CHI-QUADRATO and V DI CRAMÉR; Subpar. 4.2; Subpar. 4.3 Subpar. 4.4; Par 5)
STATISTICS INTEGRATION (3 CFU)
Marella D., Dispensa Esercizi del Laboratorio di Statistica, pdf manuscript available on-line.
Reference Bibliography
-Type of delivery of the course
Class. In the event of an extension of the health emergency from COVID-19, all the provisions governing the methods of carrying out teaching activities and student evaluation will be implemented.Attendance
-Type of evaluation
STATISTICS (9 CFU) Single final written examination, lasting 60 minutes, with 30 multiple-choice questions concerning the whole program. In the case of an extension of the health emergency from COVID-19, all the provisions that regulate the methods of carrying out the teaching activities and student assessment will be implemented. BASICS STATISTICS (6 CFU) Single final written examination, lasting 40 minutes, with 20 multiple-choice questions concerning the whole program. In the case of an extension of the health emergency from COVID-19, all the provisions that regulate the methods of carrying out the teaching activities and student assessment will be implemented. STATISTICS INTEGRATION (3 CFU) Single final written examination, lasting 20 minutes, with 10 multiple-choice questions concerning the whole program. In the case of an extension of the health emergency from COVID-19, all the provisions that regulate the methods of carrying out the teaching activities and student assessment will be implemented.