Statistics

Recommended Prerequisites

Not applicable.

Teaching Methods

In each class a theme is presented and each classe starts with a review of the syllabus presented previously, through a teacher' proposal to the students: to solve some data analysis problems on issues already presented. This activity occurs for about one hour teaching. In the next hour, the theme of this lecture is presented, talking with students and using small real data examples. Each lesson ends with the realization, in small groups of two or three students, of an exercise of data analysis on the new theme, under teacher supervision.

Learning Outcomes

Main objective:

- Provide the students with methodological skills of quantitative data analysis in order to develop their preferred areas of research in the field of the Psychology of Family.

Work Placement(s)

No

Syllabus

Introduction to IBM SPSS Statistical Software Statistical 19.

Exploratory Data Analysis:

- Review Part I: Univariate Analysis - Variables and distributions.

- Review Part II: Bivariate Analysis - The relations between variables.

Mean inference - Review Part I: A single sample.

Inference for populations comparisons: - Review Part II: Paired samples and independent samples, more than two

independent samples (One Factor ANOVA).

- Advanced ANOVA: Factorial Analysis of Variance; MANOVA.

Multiple Linear Regression: The model and the inference; Quality of Fit; Violation of assumptions, Detection of outliers.

Factor Analysis Methods: Factor Analysis; Principal Components Analysis, Rank Analysis; Polychoric Factor

Analysis.

Cluster Analysis: Hierarchical Models and Non Hierarchical Models.

Head Lecturer(s)

José Manuel Tomás Silva

Bibliography

Maroco, J. (2010). Análise estatística com o PASW Statistics (ex-SPSS). Pero Pinheiro: ReportNumber, ISBN: 9789899676305.

Moore, D. S. (2007). The basic practice of statistics (4th ed.). New York: W. H. Freeman and Company.

Pires, M. & Branco, J. A. (2007). Introdução aos métodos estatísticos robustos. Lisboa: Edições SPE.

Schafer, J. L., Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods. 7(2), 147–177.

Schawrz, N. (1999). Self reports: How the questions shape the answers. American Psychologist, 54 (2), 93-105.

Tabachnick, B. G. & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Pearson Education, Inc.

Tukey, J. W. (1977). Exploratory data analysis. Addison-Wesley: Reading, MA.

Wilcox, R. R. & Keselman, H. J. (2003). Measures of central tendency. Psychological Methods, 8(3), 254-274.

Wilcox, R. R. (2010). Fundamentals of modern statistical methods: Substantially improving power and accuracy (2nd ed.). New York: Springer.