Cursos / 2º Ciclo / Faculty of Economy and Business Management :: Management

MÉTODOS QUANTITATIVOS - 2018/2019

1º curricular year
Semestralidade: 1st semester
ECTS: 7.5

Teachers

Leading Teacher: Prof. Doutora Erika Laranjeira
Assistant Professor: Prof. Doutora Erika Laranjeira

Class type and School hours

Orientação Tutorial : 1 Horas
Teórico-prática : 1 Horas

Teaching Language

Portuguese

Main Aims/Objectives

The Quantitative Methods, to be framed in the curriculum of a Master in Management, designed to give students an overview of the use of quantitative methods in scientific research.

Specific Aims/Objectives

It is intended to provide students with sufficient knowledge and tools which relate to the use of logic and methods of mathematics and statistics in the quantitative study, based on the collection, interpretation and quantification of the data.

Skills to be acquired

Understand the techniques that allow the collection of data management.
Understand the differences between the various techniques of data analysis.
Understand the use of the results.

Teaching Procedures

Theoretical concepts are developed and solved exercises on the same application. Students will have a set of cases and exercises to practice skills.

Programme

1. Introduction to Quantitative Methods
1.1. Introductory concepts
1.2. Type of studies

2. Methods and Techniques
   2.1. Primary data collection - Questionnaires
   2.2. Secondary data

3. Advanced Topics of Quantitative Methods for Primary Data
   3.1. Factor Analysis
   3.2. Cluster Analysis
   3.3. Discriminant Analysis
   3.4. Structural Equations Model

4. Advanced Topics of Quantitative Methods for Secondary Data
   4.1. Simple Linear Regression Models
   4.2. Multiple Linear Regression Models
   4.3. Probability Models: Linear, Logit, Probit and Tobit
   4.4. Simultaneous Equations Models

Evaluation Type

Continuous assessment will be carried out according to the evaluation system of the University.

Teaching Resources

The lectures will be given using electronic means. Will be available a set of more practical exercises for students to acquire skills. All the material support classes will be loaded in the University´s e-learning.

Sustainability Objectives

Keywords

Population
Sample
Variable
Models
Factorial Analysis
Cluster
SEM

Main Bibliography