Publication in the Diário da República: Despacho n.º 6419/2017, de 24-07-2017
6 ECTS; 1º Ano, 2º Semestre, 20,0 T + 20,0 TP , Cód. 92999.
Lecturer
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Not applicable.
Objectives
Provide students with knowledge about bi and multivariate data analysis, specifically in terms of inferential models and experimental planning.
Program
I. Advanced Research Methods
1.1. Development of research topics and bases of the research process
1.2. Methodological advantages and difficulties associated with the choice of specific types of study and methodological approach
1.3. Preparation of a research project
1.4. Publishing process: preparation, submission and revision of papers and scientific research studies
1.5. Public presentation of a scientific research project
II. Advanced Methods of Data Analysis
2.1. Parametric and non-parametric inferential analyses
2.2. Simple linear regression and multiple regression models
2.3. Structural Equation model
2.4. Models of Moderation and Mediation
2.5. Reporting results and SPSS applications
Evaluation Methodology
Proof of evaluation of knowledge and work (conception of a research project).
Bibliography
- Barañano, A. (2008). Métodos e Técnicas de Investigação em Gestão: Manual de Apoio à Realização de Trabalhos de Investigação. Lisboa: Edições Sílabo
- Bryman, A. e Bell, E. (2011). Business research methods. New York: Oxford University Press
- Bryman, A. e Buchanan, D. (2011). The SAGE: handbook or organizational research methods. London, England: SAGE
- Maroco, J. (2011). Análise de Equações Estruturais: Fundamentos teóricos, Software e Aplicações. Lisboa: ReportNumber
Teaching Method
The expository method of the theoretical contents is favored, always seeking to stimulate the reflection and the debate of the same, supported in literature and recent and pertinent evidence that serves as an illustration to the main models, methods
Software used in class
IBM SPSS
