A comparative study on entrepreneurial attitudes modeled with logistic regression and Bayes nets

  1. López Puga, Jorge 1
  2. García García, Juan 1
  1. 1 Universidad de Almería
    info

    Universidad de Almería

    Almería, España

    ROR https://ror.org/003d3xx08

Revista:
The Spanish Journal of Psychology

ISSN: 1138-7416

Año de publicación: 2012

Volumen: 15

Número: 3

Páginas: 1147-1162

Tipo: Artículo

DOI: 10.5209/REV_SJOP.2012.V15.N3.39404 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: The Spanish Journal of Psychology

Objetivos de desarrollo sostenible

Resumen

Entrepreneurship research is receiving increasing attention in our context, as entrepreneurs are key social agents involved in economic development. We compare the success of the dichotomic logistic regression model and the Bayes simple classifier to predict entrepreneurship, after manipulating the percentage of missing data and the level of categorization in predictors. A sample of undergraduate university students (N = 1230) completed five scales (motivation, attitude towards business creation, obstacles, deficiencies, and training needs) and we found that each of them predicted different aspects of the tendency to business creation. Additionally, our results show that the receiver operating characteristic (ROC) curve is affected by the rate of missing data in both techniques, but logistic regression seems to be more vulnerable when faced with missing data, whereas Bayes nets underperform slightly when categorization has been manipulated. Our study sheds light on the potential entrepreneur profile and we propose to use Bayesian networks as an additional alternative to overcome the weaknesses of logistic regression when missing data are present in applied research.

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Fuente de los datos: Dialnet