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Learning outcomes |
Using quantitative techniques of data analysis in scientific research.
The students should understand the connection between the research problem, methodology, data collection and quantitative data analysis. To choose the appropriate quantitative data analyses according to the research methodology, nature and purpose. To perform analyses in statistical software, namely SPSS, AMOS and SmartPLS. To interpret, discuss and report analyses’ results.
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Main Bibliography |
Easterby-Smith, M.; Thorpe, R. & Jackson, Paul R. (2008) Management Research 3rd ed., Londres, UK: Sage
Hair, Joseph F., Bill Black, Barry Babin, Rolph E. Anderson (2010) Multivariate Data Analysis, 7/e, Upper Saddle River, US: Prentice Hall, ISBN13: 9780138132637
Bollen, K.A. (1989); Structural Equations with Latent Variables; New York, NY, US: John Wiley & Sons
Dunbar, R. (1996). What is This Thing Called Science? In The trouble with science (pp. 12-33). Harvard University Press.
Hunt, S. D. (2002). The Morphology of Theory. In Foundations of marketing theory: Toward a General Theory of Marketing (pp. 191-221). Armonk, New York: US: ME Sharpe.
Nunnaly, Jum C.; Bernstein, Ira H. (1994); Psychometric Theory, 3rd. Ed.; New York, NY, US: McGraw Hill
Putnam, H. (1987). The Many Faces of Realism. Open Court. ISBN: 0812690435
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