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Importance of Hair’s Books in Brazilian Business Research

  • Diógenes S. Bido
  • Dirceu da SilvaEmail author
Chapter

Abstract

This concise report aims to show how positively, consistently, and influentially the publications of Professor Joseph Hair and his fellow researchers affected the applied social sciences research area in Brazil. Even before it was translated into Portuguese, the book entitled Multivariate Data Analysis was already a reference, because unlike many other publications, the book is very illustrative and allows readers with little experience in quantitative methods to carry out analyses of their data. The Essentials of Business Research Methods quickly became a benchmark for undergraduate and graduate courses, because it presents all business research stages and aspects concerning the research techniques. The book entitled A Primer on Partial Least Squares Structural Equation Modeling is a manual for the uses of SmartPLS software in which the author and his colleagues present the various characteristics of the partial least squares method in an illustrative way. We ultimately also recount some of the funniest events that involve the abovementioned publications. Based on that which has been stated, Professor Hair’s publications are “the” reference for researchers who use quantitative methods in Brazil.

Keywords

Joseph Hair Jr. Quantitative data analyses Business research methods Exploratory factor analysis PLS-SEM 

References

  1. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276.CrossRefGoogle Scholar
  2. Cattell, R. B., & Jaspers, J. (1967). A general plasmode (no. 30-10-5-2) for factor analytic exercises and research. Multivariate Behavioral Research Monographs, 67(3), 1–212.Google Scholar
  3. Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). New Jersey: Lawrence Erlbaum.Google Scholar
  4. Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). Thousand Oaks, CA: Sage.Google Scholar
  5. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Ohio: The University of Akron Press.Google Scholar
  6. Fornell, C. (Ed.). (1982). A second generation of multivariate analysis: Methods (Vol. 1). New York: Praeger Publishers.Google Scholar
  7. Gorsuch, R. L. (1974). Factor analysis. Philadelphia: W. B. Saunders Company.Google Scholar
  8. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Side River, NJ: Prentice Hall.Google Scholar
  9. Hair, J. F., Celsi, M., Money, A., Samouel, P., & Page, M. (2015). The essentials of business research methods (3rd ed.). New York: Routledge.Google Scholar
  10. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
  11. Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: Sage.Google Scholar
  12. Jöreskog, K. G., & Wold, H. O. (Eds.). (1982). Systems under indirect observations: Causality, structure, prediction. Netherlands: North-Holland Publishing.Google Scholar
  13. Lohmöller, J.-B. (1989). Latent variable path modeling with partial least squares. Heidelberger: Physica-Verlag.CrossRefGoogle Scholar
  14. Shipley, B. (2004). Cause and correlation in biology: A user’s guide to path analysis, structural equations and causal inference. Cambridge: Cambridge University Press.Google Scholar
  15. Tenenhaus, M., Esposito Vinzi, V., Chatelin, Y.-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Universidade Presbiteriana MackenzieSão PauloBrazil
  2. 2.University of CampinasCampinasBrazil

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