Data Analysis

Instance: 2013/2014 - 2S

Courses

Teaching - Hours Contact hours: 3 Type Teacher Classes Hours Contact hours Totals 1 3,00 Ana Jorge   3,00

Docência - Responsabilidades Teacher Responsability Célia Cristina Casaca Soares Head Ana Jorge Colaborador

Teaching language

Portuguese/English

Objectives, competences and learning Outcomes

The Data Analysis course aims to empower students to use techniques that ensure the proper statistical support for research in health (voice in particular), including identifying the technique of data analysis that should be used in a specific situation ; their proper use and especially the interpretation and discussion of results. Recourse to the use of statistical software (SPSS in particular) is systematic.

Main Contents

1. Parametric statistical inference
1.1. Hypothesis test: mean, difference of means, proportions, difference of proportions, two paired samples and correlation coefficient.
2. Non-parametric statistical inference
2.1. Location test: Test-Signal, Wilcoxon test, Kruskal-Wallis, and Adjustment Test (Chi - Square and Kolmogorov - Smirnov);
3. Analysis of variance
3.1. Simple classification (a factor).
3.2. Double classification (two factors).
3.3. Multiple comparisons: Tukey's test, Scheffé test, and Bonferroni test.
4. Contingency tables
4.1. Measures of association in contingency tables.
4.2. Independence tests
5. Factor Analysis
5.1. The model of factor analysis.
5.2. Estimation of common factors and specific factors (extraction of factors).
5.3. Factors rotation
6. Cluster analysis
6.1. Measures of similarity and dissimilarity.
6.2. Hierarchical clusters.
6.3. Correlation and linear regression, simple and multiple.

Teaching and Learning Strategies

Should be used methods for theoretical and practical learning that involve students in analyzing and applying theoretical concepts learned throughout the lessons to situations of real data analysis, whenever possible. The suggested problems will be solved using the SPSS, and the first applications designed live, for better monitoring by students.

Type of assessment

Assessment

The evaluation of the course is done by carrying out practical group work (30%) and a final exam (50%). Products: 80%. Processes (suggested problems in class): 20%

Pass Standard

The evaluation of the course is done by carrying out practical group work (30%) and a final exam (50%). Products: 80%. Processes (suggested problems in class): 20%

Assement and Attendance registers

Mandatory Bibliography