Complementary Techniques of Data Analysis

Code:

P839

Acronym:

TCAD

Instance: 2010/2011 - 2S

Active?	Yes
Responsible unit:	Psychology
Course/CS Responsible:	Integrated Master Psychology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIPSI	29	Official Curricular Structure 2007/2008	3	-	3	-
			4

Teaching language

Portuguese

Objectives

The goals of the course are: to consolidate the knowledge of some of the techniques studied in previous Statistics courses; to introduce the students to a larger variety of techniques based on their knowledge from previous Statistics courses; to provide more familiarity with different research problems and their formulation in terms of data analysis.

Program

1. Associated research problems, application conditions, execution in the SPSS, interpretation and presentation of the results in the following techniques: Planned comparisons in One-way ANOVA; Analysis of co-variance; Multivariate analysis of variance and co-variance.
2. Moderation and mediation: concept and analysis techniques, interpreting and presenting the results.
3. Associated research problems, application conditions, execution in the SPSS, interpretation and presentation of the results in the Principal Components Analysis.
3. Associated research problems, application conditions, execution in the SPSS, interpretation and presentation of the results in Clusters Analysis.

Mandatory literature

Hair Joseph F. 070; Análise multivariada de dados. ISBN: 85-363-0482-0
Maroco João; Análise estatística com utilização do SPSS. ISBN: 972-618-331-6
Pestana Maria Helena; Análise de dados para ciências sociais. ISBN: 972-618-220-4
Howell David C.; Statistical methods for psychology. ISBN: 0-534-51993-8
Tabachnick Barbara G.; Using multivariate statistics. ISBN: 0-321-05677-9
Aiken Leona S.; Multiple regression. ISBN: 0-7619-0712-2

Teaching methods and learning activities

Theorectical and pratical

keywords

Social sciences > Psychological sciences > Psychology
Physical sciences > Mathematics > Statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	30,00
Group assignment	Trabalho escrito	30,00		2011-06-14
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Individual Study	Estudo autónomo	21	2011-06-14
	Total:	21,00

Eligibility for exams

Students should attend a minimum of 75% of classes

Calculation formula of final grade

The final mark is the sum of the individual work (weighted 30%) and the final exam (70%). A mark less than 8 (in a 0-20 scale) in any of the components results in repproval. Students with final marks of 8 and 9 must be examined in a second oral exam.

Examinations or Special Assignments

Individual research work involving at least one of the new techniques approached in the course.

Classification improvement

Through exam in one of the subsequent calls. The mark of the individual work is taken in consideration.