Cursos / 1º Ciclo / Faculty of Economy and Business Management :: Economics

ANÁLISE DE DADOS - 2016/2017

1º curricular year
Semestralidade: 1st semester
ECTS: 6

Teachers

Leading Teacher: Prof. Doutora Paula Rodrigues
Assistant Professor: Prof. Doutora Paula Rodrigues

Class type and School hours

Investigação Assistida : 1 Horas
Teórico-prática : 2 Horas

Teaching Language

Portuguese

Main Aims/Objectives

The Data Analysis, to be framed in the curriculum of Bachelor of Economics, aims to give students an overview of the applied use of quantitative methods

Specific Aims/Objectives

It is intended to provide students the knowledge and enough instruments which relate to the use of logic and statistical methods in the quantitative study of the environment, based on the collection, interpretation and quantification of data.

Skills to be acquired

Understand the techniques that allow the collection of data in economics.
Understand the methods of quantification of data.
To understand the differences between the various techniques for data analysis.
Understand the use of the results.

Teaching Procedures

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

Programme

Introduction to Data Analysis
1.1. Population and Sample
1.2. Classification of Data
2 Introduction to SPSS Statistics Software
3 Construction of a database
4 subsequent procedures to build a database
4.1. Cleaning of variables
4.2. Calculation and transformation of variables
4.3. Analysis of missing values
5 Descriptive analysis of data - Basic concepts of descriptive statistics
5.1. Location measures
5.2. Measures of variability
5.3. graphical representations
6 Inferential Data Analysis
6.1. Assumptions of parametric tests
6.2. Nonparametric tests of hypotheses
7 Models of Contingency Association and Correlation
7.1. Relationship between dichotomous variables
7.2. odds Ratio
7.3. Qualitative relationship between other variables
7.4. correlation
8 Linear Regression Models
8.1. Estimation of Linear Regression Models
8.2. Estimation of Linear Regression Models
8.3. Variance of the error and Table of Analysis of Variance (ANOVA)
8.4. Coefficient of Determination Test and Global Significance of Model

Evaluation Type

Students will be assessed according to the assessment regime of Lusiada Universities.

Teaching Resources

The lectures will be given using electronic means and SPSS software. Will be provided a set of more practical exercises for students to acquire skills. All material support classes will be placed on the e-learning system at the University.

Sustainability Objectives

Keywords

data,
sample,
statistics
analysis

Main Bibliography

Complementary Bibliography