Quantitative Methods

Base Knowledge

N/A

Teaching Methodologies

All classes will be theoretical-practical. In them, concepts of descriptive statistics and inferential statistics will be treated, resorting whenever possible to problematic situations. During the classes, the use of technology for data processing will also be provided, more specifically the SPSS computer software and the graphing calculator.

 

The assessment in this UC will be carried out by the students in one of two ways:

a) Continuous assessment

The classification obtained in the continuous assessment modality will result from the sum of the following components:

– two tests, each rated from 0 to 6 values (60%);

– a group work, rated from 0 to 8 values (40%).

b) Assessment by exam

Learning Results

Students should: – acquire and understand essential knowledge about both Descriptive Statistics and Inferential Statistics, demonstrating its usefulness in the context of Social Gerontology; – knowing how to equate the problem under study and intelligently apply Statistics, with emphasis on the exploration of statistical processes and interpretation of results within the scope of Social Gerontology; – to know appropriate statistical methods to solve problematic situations in the scope of Social Gerontology..

Program

.1. Purpose of Statistics. The statistical problem. Statistics Methodology. Population and Sample. Census and Survey. Sampling methods. 2. Descriptive Statistics – Measurement; types of scales; frequency distributions and graphical methods for summarizing data. Position measures (central tendency and others) and dispersion measures. Probability. The Normal curve and standard “scores”. 3. Correlation of variables. Spearman and Pearson correlation coefficients. Regression analysis: determination of the regression line equation. Association of categorical variables. 4. Introduction to Inferential Statistics. Hypothesis tests and confidence intervals.

Curricular Unit Teachers

Grading Methods

Continuing Evaluation
  • - Individual and/or Group Work - 40.0%
  • - Mini Tests - 60.0%
Exam
  • - Exam - 100.0%

Internship(s)

NAO

Bibliography

Barroso, M; Sampaio, E; Ramos, M.(2003). Exercícios de estatística descritiva para as ciências sociais. Lisboa: Edições Sílabo.

Bryman, A. (2012). Social research methods. Oxford : Oxford University Press.Hill, M. ;

Hill, A. (2009). Investigação por questionário. Lisboa : Edições Sílabo.

Laureano, R. (2011). Testes de hipótese com o SPSS: o meu manual de consulta rápida. Lisboa: Edições Sílabo.

Martins, C. (2011). Manual de análise de dados quantitativos com recurso ao IBM SPSS: saber decidir, fazer, interpretar e redigir. Braga : Psiquilíbrios.

Maroco, J. (2018). Análise Estatística com o SPSS Statistics. Lisboa: ReportNumber.

Moreira, A.; Moutinho, V.; Macedo, P.; Costa, M. C. (2011). Exercícios de Estatística – Com Recurso ao SPSS. Lisboa:Edições Sílabo.

Pinto, R. (2012). Introdução à análise de dados: com recurso ao SPSS. Lisboa: Edições Sílabo.