Quantitative Methods

Base Knowledge

NA

Teaching Methodologies

All classes will be theoretical and practical. In them will be learned basic concepts of Descriptive and Inferential Statistics, using whenever possible real situations.

Throughout the classes will be further provided the use of technology for data processing, specifically the SPSS computer software and graphing calculator.

The assessment will respect the provisions of the Internal Regulation of the Higher School of Education, so that students can choose one of two ways: frequency or examination.

a) Evaluation by frequency

The marks obtained the frequency result from the sum of the following components:

– two tests quoted 0-8,5 values.

– a work group quoted 0-3 values.

b) Evaluation by exam (100%) will be made through written and oral test (only if the classification 8 or 9 points).

Learning Results

Students must:

– Acquire and understend the essential knowledge on Descriptive Statistics and Inferential Statistics demonstrating its usefulness on Social Gerontology context;

– learn how to project and to apply intelligently Statistics, with emphasis on the exploration of statistical procedures and interpretation of results of the Social Gerontology;

– know appropriate statistical methods to solve problematic situations in the Social Gerontology context.

Program

1. Purpose of Statistics. The Statistical problem. Statistical Methodology. Sample. Sampling methods.

2. Descriptive Statistics – Measurement; types of scales, frequency distributions and graphical methods for summarizing data. Measurements of position (and other central tendency) and measures of dispersion. Probability. Normal Curve and “scores” standard.

3. Correlation variables. Spearman and Pearson correlation coefficients. Regression Analysis: determining the equation of the regression line.

4. Introduction to Inferential Statistics. Hypothesis testing and confidence intervals.

Curricular Unit Teachers

Grading Methods

Continuing Evaluation
  • - tests - 85.0%
  • - group work - 15.0%
Exam
  • - test - 100.0%

Internship(s)

NAO

Bibliography

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

Maroco, J. (2011). Análise Estatística com ultização do SPSS Statistics. Lisboa: ReportNumber.

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

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

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