Methods in Applied Statistics

Code:

MSIGOT023

Acronym:

MEA

Keywords
Classification	Keyword
OFICIAL	Database Management

Instance: 2013/2014 - 2S

Active?	Yes
Responsible unit:	Department of Geography
Course/CS Responsible:	Masters in Geographical Information Systems and Spatial Planning

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MRCOT	2	MRCOT - Study Plan	1	-	6	54	162
MSIGOT	30	MSIGOT - Study Plan	1	-	6	54	162

Teaching language

Portuguese

Objectives

The main goals of this subject are: to deepen and to consolidate statistical concepts in the treatment of information applied to social sciences, namely regarding practical examples in geographical analysis in its physical and human components.

Learning outcomes and competences

Learning skills By the end of the semestre, the student should demonstrate:

- Knowledge of basic techniques of data exploration and inferencial analysis of quantitative data applied to sociology;

- Critical and reflexive stand in data analysis.

Working method

Presencial

Program

Theoretical lessons ** 1. Introduction to statistical analysis. Data exploration (outliers, homogeneity, normality, missing cases, collinearity and independence). 2. Parametric (t-test, one-way and two-way ANOVA) and non-parametric statistics for independent and paired samples among others. 3. Regression methods. Foundations and concepts. Linear and multiple regression. 4. Logistic regression. 5. Cluster analysis (hierarchical and non-hierarchical methods). 6. Classification and regression trees (algorithm, recursive partitioning and model performance). 7. Principal componente analysis (covariance matrix, communallities, KMO and Bartlett tests, eigenvalues and screeplot).

Mandatory literature

Levin, Jack; Estatística aplicada a ciências humanas
Levin, Jack; Fundamentos de estadistica en la investigacíon social
Elifson, Kirk W.; Fundamentals of social statistics. ISBN: 0-07-115690-9
Blalock Jr., Hubert M.; Social statistics. ISBN: 0-07-Y66175-8
Pestana, Maria Helena; Análise de dados para ciências sociais. ISBN: 972-618-220-4

Complementary Bibliography

Zuur A.F., Ieno E.N. & Elphick C.S.; A protocol for data exploration to avoid common statistical problems, Methods in Ecology & Evolution, 2010
Walford N.; Practical Statistics for Geographers and Earth Scientists, Wiley-Blackwell, 2011
James G., Witten D., Hastie T. & Tibshirani R.; An Introduction to Statistical Learning with Applications in R, Springer, 2013

Teaching methods and learning activities

Theoretical expositive lessons and practical lessons, with an application of acquired knowledge.

Software

SPSS
R
Excel

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho escrito	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	130,00
Total:	130,00

Eligibility for exams

Not applicable

Calculation formula of final grade

Accordance with Assessment Regulations in force.

Examinations or Special Assignments

Accordance with Assessment Regulations in force.

Special assessment (TE, DA, ...)

Not applicable

Classification improvement

Accordance with Assessment Regulations in force.