Universidade Nova de Lisboa

Universidade Nova de Lisboa

NOVA Information Management School

Quantitative Methods for Marketing - explanatory methods

Code

200093

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Tiago André Gonçalves Félix de Oliveira

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

  1. Develop and interpret the results of statistic tests;
  2. Develop and interpret the results of multiple regression analysis;
  3. Develop and interpret the results of regression models for categorical dependent variables (probit/logit);
  4. Develop and interpret the results of multiple regression analysis based on factors;
  5. Develop and interpret the results of structural equation models (SEM).

Prerequisites

NA

Subject matter

  1. Hypothesis testing;
  2. Multiple regression analysis;
  3. Regression models for categorical dependent variables (probit/logit);
  4. Multiple regression analysis based on factors;
  5. Structural equation models (SEM).

Bibliography

Greene, W. H. (2008) Econometric Analysis, Sixth edition. New Jersey: Prentince-Hall, Inc.

Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. (2010). Multivariate data analysis. Seventh edition, Upper Saddle River, NJ: Pearson Prentice Hall.

Hair, J. F., Hult G.T., Ringle C.M., & Sartedt M. (2016) A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.

Long J. S. (1997). Regression Models for Categirical and limited Dependemt Variables: Sage Publications.

Martins, C, Oliveira, T. & Popovi?, A. (2014) Understanding the Internet banking adoption: An unified theory of acceptance and use of technology and perceived risk application, International Journal of Information Management, 34(1), 1-13.

Oliveira, T. & M. F. Martins (2010) "Understanding e-business adoption across industries in European countries," Industrial Management & Data Systems (110) 8-9, pp. 1337-1354.

Oliveira, T. & M. F. Martins (2011) "Understanding the Determinant Factors of Internet Business Solutions Adoption: the Case of Portuguese firms," Applied Economics Letters (18), pp. 1769-1775.

Sharma, S., (1996) Applied Multivariate Techniques, John Wiley & Sons.

Oliveira, T. & M. F. Martins (2011) "Understanding the Determinant Factors of Internet Business Solutions Adoption: the Case of Portuguese firms," Applied Economics Letters (18), pp. 1769-1775.

Sharma, S., (1996) Applied Multivariate Techniques, John Wiley & Sons.

Vilares, J. M. & Coelho P. S. (2005) Satisfação e Lealdade do Cliente: Metodologias de avaliação, Gestão e Análise. Lisboa: Escolar Editora.

Teaching method

Theoretical and practical classes

Evaluation method

1st Period

Master students: Project (group with 4 students) with oral presentation (50%), participation and discussion (10%), and exam (40%).

Ph.D. students: Scientific paper (8000 words maximum) as individual work (90%), participation and discussion (10%).

 

2nd Period

Master students: Project (group with 4 students) with oral presentation (50%), and exam (50%).

Ph.D. students: Scientific paper (8000 words maximum) as individual work (100%).

Courses