Info
Logo Bocconi

Course 2017-2018 a.y.

30280 - APPLICATIONS FOR MANAGEMENT


BIEM
Department of Social and Political Sciences

Course taught in English


Go to class group/s: 15 - 16 - 17 - 18

BIEM (6 credits - I sem. - OB  |  SECS-P/06)
Course Director:
ALESSIA MELEGARO

Classes: 15 (I sem.) - 16 (I sem.) - 17 (I sem.) - 18 (I sem.)
Instructors:
Class 15: ALESSIA MELEGARO, Class 16: LAURA CAVALLI, Class 17: NICOLETTA BALBO, Class 18: NICOLETTA BALBO


Course Objectives
The purpose of the course is to enable students to structure and conduct autonomously a research project based on the analysis of data sets concerning business, economics and in general the social sciences. The course presents a set of tools with an applied perspective, providing the methodological knowledge that is necessary to conduct such projects with a fair level of competence and with the ability to choose appropriate statistical methods for various problems. The course gives support for the use of the software program SPSS, a widely used software package in the social sciences.

Intended Learning Outcomes
Click here to see the ILOs of the course

Course Content Summary
  • Introduction to applied research, research design, research question, causality.
  • Sampling and data sources, finding data for research projects.
  • Regression analysis: the simple one regressor case, multivariate regression, assumptions and properties, violation of assumptions and remedies
  • One and two factors ANOVA.
  • Factor analysis: model, extraction, rotation, interpretation.
  • Scale construction and evaluation: reliability analysis and composite scores.
  • Cluster Analysis.
  • Regression analysis revisited: regression analysis in combination with factor analysis and cluster analysis.

Teaching methods
Click here to see the teaching methods

Assessment methods
Click here to see the assessment methods

Detailed Description of Assessment Methods
The written exam makes up 70% of the grade and the project 30%.
The exam is written and lasts two hours. It is possible to take the written exam in two partial parts. In this case, the first partial must be passed (18/30) to became eligible to do the second partial.
The exam and the project are valid until the end of the academic year.

Textbooks
  • P. Newbold, W.L. Carlson, B. Thorne, Statistics for Business and Economics and Students cd, Prentice Hall,  2007, 6th edition, international edition.
  • Lecture notes (sampling, data sources, research design, factor analysis, scale reliability and cluster analysis).

Prerequisites
Statistics, Mathematics, Computer skills for Economics.
In particular, students should have passed Statistics (cod. 30001) in previous exam sessions or in the same session as the Application exam. If not, the Application exam is considered null as taken in breach of the compulsory sequence.
Last change 12/05/2017 10:53