Lectures. Application of the contents learned to the empirical research issues. Discussion of results.
Seminars on specific topics included in the course.
Research activity: literature research and data collection.
Data analysis laboratories with training on statistical software.
Paper presentations on the topics of the course.
1. Cluster analysis - Multidimensional Scaling - Correspondence analysis: simple and multiple Factor Analysis: principal factors and principal components -
2. Multiple regression models - Nonlinear and logistics regression models - Structural equations models - Multilevel models -
Specialised topics on:
The main objective of the module is to provide the student with the fundamentals of evaluation logic, with particular reference to: the basic elements that characterize the evaluation process, the main evaluation theories; and the impact evaluation approaches, addressing the main methodological issues. Moreover, the module faces in key critical relationships the link between monitoring and evaluation, observing, in particular, the links between monitoring and evaluation indicators. Students will have the opportunity to identify key methodological issues to be considered in implementing monitoring systems effectively oriented to evaluation.
for the software training:
for the software training:
Specialised topics on:
Bezzi, C., Cannavò L., Palumbo M. (2010) Costruire indicatori nella Ricerca Sociale e nella Valutazione, Milano, FrancoAngeli: pp. 19-56.
Stame N., (2016) Valutazione pluralista. Milano, Franco Angeli, pp 23-111.
Stern E. (2016) La valutazione di impatto. Una guida per committenti e manager preparata per Bond. Milano, Franco Angeli, pp 13-65.
Mazzeo Rinaldi F., (2012) Il monitoraggio per la valutazione, Milano, FrancoAngeli: pp 17-43 pp 67-115.
Stame N. - a cura - (2007) Classici della valutazione. Milano, Franco Angeli, pp. 337-416.