Statistics II (271167)

Learning Outcomes

Acquiring the fundamental terminology and technical knowledge/use of non-parametric statistics.
Acquiring a proficiency level to use statistical software (SPSS, Statistical Package for Social Sciences), without, however, neglecting the underlying conceptual methodology of statistical techniques.

Study Program

1.    Statistical outliers and graphical representations.
2.    Kolmogorov-Smirnov and Shapiro-Wilk tests.
3.    Parametric versus Nonparametric Statistics – Differences
4.    Statistical techniques to explore relationships among variables and Statistical techniques to compare groups.
5.    Ordering results.
6.    Statistics Tests– one sample:
a.    Chi-Square and Goodness-of-Fit
7.    Statistics Tests – two independent samples:
a.    Chi-Square for independent Sample
b.    Fisher Exact Test
c.    Mann-Whitney U test
8.    Statistics Tests – two related samples:
a.    McNemar test.
b.    Wilcoxon Signed Rank test.
9.    Statistics Tests – K independent samples:
a.    Kruskal-Wallis test.
10.    Statistics Tests – K related samples:
a.    Cochran's Test.
b.    Friedman test.
11.    Correlation – Kendall's Tau and Spearman's Rank Correlation Coefficient
Summary Table of Statistical Tests.

Bibliography

Green, J., & Oliveira, M. (1991). Testes estatísticos em Psicologia. Lisboa: Editorial Estampa.
Maroco, J. (2003). Análise estatística com utilização do SPSS. Lisboa: Edições Sílabo.
Martinez, L., & Ferreira, A. (2007). Análise de dados com SPSS – Primeiros passos. Lisboa: Escolar Editora.
Pereira, A. (1999). SPSS – Guia prático de utilização - Análise de dados para Ciências Sociais e Psicologia. Lisboa: Edições Sílabo.
Pallant, J. (2001). SPSS Survival Manual – A Step by Step Guide to Data Analysis Using SPSS for Windows. Philadelphia: Open University Press.