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ISCTE-IUL  >  Education  >  DGEA

Quantitative Research Methods in Applied Business Management II (2 º Sem 2017/2018)

Code: 00355
Acronym: 00355
Level: 3rd Cycle
Basic: No
Teaching Language(s): English
Friendly languages:
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1 6.0 0.0 h/sem 20.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 0.0 h/sem 1.0 h/sem 21.0 h/sem 129.0 h/sem 0.0 h/sem 150.0 h/sem
Since year 2011/2012
Pre-requisites No.
Objectives . Understanding the most important concepts in multivariate statistics;
. Oral and written communication skills concerning work done within the scope of statistical analysis;
. Enhancing skills on the application of statistics in empirical research.
Program 1. Regression analysis
? Correlation and regression
? Simple linear regression
? Multiple linear regression

2: Discrete choice models
? Discrete choice models vs linear regression models
? Model specification
? Estimation and interpretation of results

3: Experimental analysis in management research (Conjoint analysis)
? Experimental design and model specification
? Data collection
? Model estimation and validation
? Applications in management sciences

Evaluation Method The evaluation consists in an individual written report to deliver at the end of the course (100%). The work is a critical analysis of an empirical paper focused on quantitative and empirical issues. The evaluation can be made through a final examination.
Teaching Method Doctoral students will be encouraged to search and read more advanced and specific references on the topics of their own research. Furthermore, students will be motivated in the use of the resources available at ISCTE in the search of scientific articles suited for their own research and illustrations of potential benchmarks in the use of statistical methods in the field of management sciences.
Observations
Basic Bibliographic Hair, J.F., Black, B., Babin, B., Anderson, R.E., Tatham, R.L. (2006), Multivariate Data Analysis, 6ª Edição, Prentice Hall.
Complementar Bibliographic Franses, P.H. e R. Paap (2001), Quantitative Models in Marketing Research, Cambridge: Cambridge University Press.
Lattin, J., D. Carroll e P. Green (2003), Analyzing Multivariate Data, Pacific Grove, CA: Thomson Learning.
Maroco, J. (2007) Análise Estatística com a utilização do SPSS. 3ª Ed. Silabo. Lisboa.
Reis, E. (2003). Estatística Descritiva 5ª ed., Lisboa: Sílabo.