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Learning outcomes |
to provide a set of concepts, techniques and approaches as well as understanding the main issues that arise, either in preparing the proposal, or in structuring and carrying out research work: master's thesis
- Know the main strategies to be adopted in different research paradigms in the scientific area of management and entrepreneurship;
- Identify, define and understand the different concepts and approaches in a process of scientific investigation;
- Identify and understand the methodologies and techniques needed to develop a project or a research work;
- Apply statistical concepts and methods of data analysis, in business science, not addressed at the undergraduate level (first cycle);
- Analyze, evaluate, and articulate the implications of the statistical results in the field of business science.
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Main Bibliography |
Pinto, J. Carlos Castro e Curto, J. J. Dias, "Estatística para Economia e Gestão: Instrumentos de Apoio à Tomada de Decisão", Edições Silabo, Lda., Lisboa, 1999.
Hair, Joseph F., Bill Black, Barry Babin, Rolph E. Anderson, Ronald L. Tatham (2006) Multivariate Data Analysis, 6/e, Upper Saddle River, US: Prentice Hall,
Lisboa, João V., Augusto, Mário G. e Ferreira, Pedro L. (2012), “Estatística Aplicada à Gestão”, Vida Económica, Lisboa.
Malhotra, Naresh K. e David F. Birks (2010) Marketing Research – An Applied Approach (6th ed.), Edinburgh Gate, UK: Prentice Hall,
Marôco, J. (2011). Análise Estatística com o SPSS Statistics (5th ed.), Pero Pinheiro: Edições Silabo
Guimarães, Rui Campos e Cabral, José A. Sarsfield, “Estatística”, McGraw-Hill, Lisboa, 1997
Hicks, Charles R.; Kenneth V. TURNER, Fundamental Concepts in the Design of Experiments, Oxford University Press, New York, 1999, 5th Edition.
McClave, J.T, BEnson, P.G. e Sincich, T., Statistics for Business and Economics, 9th Edition, Pearson, Prenstice Hall, 2005.
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