Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
Analyzing Dependent Variables with Multiple Surrogates in Accounting Research
preprintposted on 03.12.2018, 19:06 by Enyi Enyi
The paper contains details a research carried out to show that the use of geometric mean to unify multivariate dependent variables in financial performance studies gives better and more practical results than the multiple abstraction analysis provided using advanced econometric tools such as TLS, PLS, MCA, Canonical correlations etc.
The study used the logistic regression analysis to compare the a priori expectations of 30 Ph.D research theses with their actual outcomes using econometric tools and the actual outcome using geometric means. The study used Ph.D theses in accounting and finance sourced from the libraries of four universities in Nigeria.
The study was a desktop research using publicly available literary resources and as such requires no ethical clearance.
Declaration of conflicts of interestNo potential conflict of interest
Corresponding author firstname.lastname@example.org
Lead author countryNigeria
Lead author job roleCareer College Faculty
Lead author institutionBabcock University
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