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

Referencias bibliográficas

• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood, NJ: Prentice-Hall.
• Altman, D. G., Lausen, B., Sauerbrei, W., & Schumacher, M. (1994). Dangers of using "optimal" cutpoints in the evaluation of prognostic factors. Journal of the National Cancer Institute, 86, 829-835. http://dx.doi.org/10.1093/jnci/86.11.829 (Pubitemid 2100935)
• Ankarali, H., Canan, A., Akkus, Z., Bugdayci, R., & AH, M. (2007). Comparison of logistic regression model and classification tree: An application to postpartum depression data. Expert Systems with Applications, 32, 987-994. (Pubitemid 44821790)
• Bartfay, E., Mackillop, W. J., & Pater, J. L. (2006). Comparing the predictive value of neural network models to logistic regression models on the risk of death for small-cell lung cancer patients. European Journal of Cancer Care, 15, 115-124. http://dx.doi. Org/10.1111/j.1365-2354.2005.00638.x (Pubitemid 43542752)
• Bird, B. (1988). Implementing entrepreneurial ideas: The case for intention. Academy of Management Review, 13, 442-453. http://dx.doi.org/10.5465/ AMR. 1988.4306970
• Brehm, S. S., Kassin, S., & Fein, S. (2005). Social psychology (6th Ed.). New York, NY: Houghton Mifflin.
• Bull, S. B., Mak, C, & Greenwood, C. M. T. (2002). A modified score function estimator for multinomial logistic regression in small samples. Computational Statistics and Data Analysis, 39, 57-74. http://dx.doi.org/10. 1016/S0167-9473 (01) 00048-2
• Cano, C. J., García, J., & Gea, A. B. (2003). Actitudes emprendedoras & creación de empresas en los estudiantes universitarios. [Entrepreneurial attitudes and business creation in university students] Almería, Spain: Servicio de Publicaciones de la Universidad de Almería/Consejo Social de la Universidad de Almería.
• Chuang, H. L. (1997). High school youths' dropout and reenrollment behavior. Economics of Education Review, 16, 171-186. http://dx.doi.org/10.1016/ S0272-7757 (96) 00058-l
• Conati, C., Gertner, A., & Van Lehn, K. (2002). Using Bayesian networks to manage uncertainty in student modeling. Modeling and User-Adapted Interaction, 12, 371-417.
• Concato, J., Peduzzi, P., Holford, T. R., & Feinstein, A. R. (1995). Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy. Journal of Clinical Epidemiology, 48, 1495-1501. http://dx. doi.org/10.1016/0895-4356 (95) 00510-2 (Pubitemid 26035532)
• Conejo, R., Guzmán, E., Millán, E., Trella, M., Perez-de-la-Cruz, J. L., & Ríos, A. (2004). SIETTE: A web-based tool for adaptive testing. International Journal of Artificial Intelligence in Education, 14, 1-33.
• Conejo, R., Millan, E., Perez de la Cruz, J. L., & Trella, M. (2001). Modelado del alumno: Un enfoque bayesiano. [Modeling students: A Bayesian approach]. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 12, 50-58.
• Corman, J., Lussier, R., & Nolan, K. G. (1996). Factors that encourage entrepreneurial start-ups and existing firm expansion: A longitudinal study comparing recession and expansion periods. Academy of Entrepreneurship Journal, I, 43-55.
• Cowell, R. G., Dawid, A. P., Lauritzen, S. L., & Spiegelhalter, D. J. (1999). Probabilistic networks and expert systems. Harrisonburg, VA: Springer.
• Cusmille, F., & Bangdiwala, S. I. (2000). Categorización de variables en el análisis estadístico de datos: consecuencias sobre la interpretación de resultados. [Categorizing variables in the statistical analysis of data: Consequences for interpreting the results]. Revista Panamericana de Salud Público, 8, 348-354. (Pubitemid 32059482)
• Deaux, K., Dane, C. F., & Wrightsman, L. S. (1993). Social psychology in the 90s (6th Ed.). Pacific Grove, CA: Brooks/Cole.
• De Maris, A. (2002). Explained variance in logistic regression. A Monte Carlo study of proposed measures. Sociological Methods & Research, 31, 27-74. http://dx.doi.org/10.1177/0049124102031001002 (Pubitemid 36714502)
• Díaz, J. C. (2003). La creatión de empresas en Extremadura. Un analisis institutional. [Business creation in Extremadura. An institutional analysis]. (Unpublished doctoral dissertation) Universidad de Extremadura, Spain.
• Domingos, P., & Pazzni, M. (1996). Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In L. Saitta (Ed.), Proceedings of the 13th International Conference on Machine Learning (pp. 105-112). Bari, Italy: Morgan Kaufman.
• Dreisler, P., Blenker, P., & Nielsen, K. (2003). Promoting entrepreneurship - changing attitudes or behavior? Journal of Small Business and Enterprise Development, 10, 383-392. http://dx.doi. Org/10.1108/ 14626000310504693
• Eftekhar, B., Mohammad, K., Ardebili, H. E., Ghodsi, M., & Ketabchi, E. (2005). Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data. BMC Medical Informatics and Decision Making, 5(3), 1-8.
• Feldman, R. S. (1998). Social psychology (2nd Ed.). Upper Saddle River, NJ: Prentice Hall.
• Finch, H., & Schneider, M. K. (2007). Classification accuracy of neural networks vs. discriminant analysis, logistic regression, and classification and regression trees. Methodology, 3, 47-57. http://dx.doi.org/ 10.1027/1614-2241.3.2.47
• Fini, R., Grimaldi, R., Marzocchi, G. L., & Sobrero, M. (2012). The determinants of corporate entrepreneurial intention within small and newly established firms. Entrepreneurship Theory and Practise, 36, 387-114. http://dx.doi.org/10.1111/j.1540-6520.2010.00411.x
• Firth, D. (1993). Bias reduction of maximum likelihood estimates. Biometrika, 80, 27-38. http://dx.doi.org/10.2307/2336755
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
• Flegal, K. M., Keyl, P. M., & Nieto, F. J. (1991). Differential misclassification arising from nondifferential errors in exposure measurement. American Journal of Epidemiology, 134, 1233-1244.
• Franzoi, S. L. (2005). Social psychology (4th Ed.). New York, NY: McGraw Hill.
• Fuller-Love, N. (2006). Management development in small firms. International Journal of Management Reviews, 8(3), 175-190. http://dx.doi. Org/10.1111/j.1468-2370.2006.00125.x (Pubitemid 44393594)
• Fung, K. Y., & Howe, G. R. (1984). Methodological issues in case-control studies III: The effect of joint misclassification of risk factors and confounding factors upon estimation and power. International Journal of Epidemiology, 13, 366-370. http://dx.doi.org/10.1093/ije/133.366 (Pubitemid 14004411)
• García, J., Cano, C. J., & Gea, A. B. (2005). Actitudes emprendedoras en estudiantes universitarios y empresarios. Evidencias de validez de un instrumento [Entrepreneurial attitudes in students and business people. Evidence of the validity of an instrument]. Iberpsicologia, 10(8), art. 12.
• García, J., López, J., Cano, C. J., Gea, A. B., & De la Fuente, E. I. (2006, September). Aplicatión de las redes bayesianas al modelado de las actitudes emprendedoras. [Appling Bayesian networks to model entrepreneurial attitudes]. Communication presented at the IV Congress of Methodology of Surveys. Pamplona, Spain.
• García, J., Lopez, J., De la Fuente, L., Cano, C. J., & Gea, A. B. (2007, February). Modelos de ecuaciones estructurales & redes bayesianas. Una perspective confirmatoria aplicada a las actitudes emprendedoras [Structural equation models and Bayesian networks. A confirmatory perspective applied to entrepreneurial attitudes]. Communication presented at the X Congress of Methodology of Social and Health Sciences. Barcelona, Spain.
• Gartner, W. B. (1985). A conceptual framework for describing the phenomenon of new venture creation. Academy of Management Review, 10, 696-706. http://dx.doi.org/10.2307/258039
• Gartner, W. B. (1988). "Who is an entrepreneur?" is the wrong question. American Journal of Small Business, 12(4), 11-32.
• Genescá, E., & Capelleras, J. L. (2004). Un análisis comparativo de las caracteristicas de las microempresas en España [A comparative study of small businesses in Spain]. Universia Business Review, 2, 72-93.
• Genesca, E., & Veciana, J. M. (1984). Actitudes hacia la creatión de empresas [Attitudes towards business creation]. Information Comercial Española, 611, 147-155.
• Glymour, C. (2001). The mind's arrows. Bayes nets and graphical causal models in psychology. Cambridge, MA: MIT Press.
• Glymour, C. (2003). Learning, prediction and causal Bayes nets. Trends in Cognitive Sciences, 7, 43-48. http://dx.doi.org/10. 1016/S1364-6613 (02) 00009-8 (Pubitemid 36051053)
• Gómez, J. M., Mira, I., & Martinez, J. (2007). Condicionantes de la actividad emprendedora e instituciones de apoyo desde el ambito local: El caso de la provincia de Alicante [Conditioners of the enterprising activity and institutions of support from the local sphere: The case of the province of Alicante]. Revista de Empresa, 20, 20-31.
• Gopnik, A., & Schulz, L. (2004). Mechanisms of theory formation in young children. Trends in Cognitive Sciences, 8, 371-377. http://dx.doi. Org/10.1016/j.tics.2004.06.005 (Pubitemid 39099463)
• Gopnik, A., Glymour, C., Sobel, D. M., Schulz, L. E., Kushnir, T, & Danks, D. (2004). A theory of causal learning in children: Causal maps and Bayes nets. Psychological Review, 111, 3-32. http://dx.doi. Org/10.1037/0033-295X. 111.1.3 (Pubitemid 38157072)
• Gopnik, A., Sobel, D. M., Schulz, L., & Glymour, C. (2001). Causal learning mechanisms in very young children: Two, three, and four-years-olds infer causal relations from patterns of variation and covariation. Developmental Psychology, 37, 620-629. http://dx.doi. Org/10.1037//0012-1649.37.5.620
• Gottfredson, L. S. (1998). The general intelligence factor. Scientific American Presents, 9(4), 24-29.
• Greiner, R., & Zhou, W. (2002). Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers. Proceedings of the Eighteenth Annual National Conference on Artificial Intelligence, Aug, 2002, 167-173.
• Greiner, R., Su, X., Shen, B., & Zhou, W. (2005). Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers. Machine Learning, 59, 297-322. http://dx.doi. org/10.1007/s 10994-005-0469-0 (Pubitemid 40890481)
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Englewood Cliffs, NY: Prentice Hall.
• Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29-36. (Pubitemid 12142173)
• Hanley, J. A., & McNeil, B. J. (1983). A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology, 148, 839-843. (Pubitemid 13033817)
• Harrel, F. E., Lee, K. E., Matchar, D. B., & Reichert, T. A. (1985). Regression models for prognostic prediction: Advantages, problems, and suggested solutions. Cancer Treatment Reports, 69, 1071-1077. (Pubitemid 15249118)
• Harris, M. L. & Gibson, S. G. (2008). Examining the entrepreneurial attitudes of US business students. Education and Training, 50, 568-581. http://dx.doi. Org/10.1108/00400910810909036
• Hay Group, & SAP AG. (2003). Factbook, recursos humanos. [Factbook, human resources]. Navarre, Spain: Aranzadi.
• Hayek, F. A. (1985). Richard Cantillon. The Journal of Libertarian Studies, 7, 217-247.
• Hébert, R. F., & Link, A. (1989). In search of the meaning of entrepreneurship. Small Business Economics, 1, 39-49. http://dx.doi.org/10.1007/ BF00389915
• Heckerman, D. (1995). A tutorial on learning with Bayesian networks (Technical Report S-TR-95-06). Redmon, WA: Microsoft Research.
• Hirji, K. F., Mehta, C. R., & Patel, N. R. (1987). Computing distributions for exact logistic regression. Journal of the American Statistical Association, 82, 1110-1117. http://dx.doi.org/10.2307/2289388
• Hsieh, F. Y. (1989). Sample size tables for logistic regression. Statistics in Medicine, 8, 795-802. http://dx.doi.org/10.1002/sim.4780080704 (Pubitemid 19178939)
• Hsieh, F. Y., Bloch, D. A., & Larsen, M. D. (1998). A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine, 17, 1623-1634. (Pubitemid 28367842)
• Huefner, J. C., Hunt, H. K., & Robinson, P. B. (1996). A comparison of four scales predicting entrepreneurship. Academy of Entrepreneurship Journal, 1, 56-80.
• Irala, J., Fernández-Crehuet, R., & Serrano, A. (1997). Intervalos de confianza anormalmente amplios en regresion logistica: Interpretaci6n de resultados de programas estadisticos [Abnormally broad confidence intervals in logistic regression: Interpretation of results of statistical programs]. Revista Panamericana de Salud Publico, I, 230-234. (Pubitemid 27321850)
• Jaimes, F., Farbiarz, J., Alvarez, D., & Martinez, C. (2005). Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room. Critical Care, 9, 150-156.
• Jovel, A. J. (1995). Análisis de regresión logistica [Logistic regression analysis]. Madrid, Spain: Centro de Investigaciones Sociológicas.
• Jurafsky, D. (1996). A probabilistic model of lexical and syntactic access and disambiguation. Cognitive Science, 20, 137-194. http://dx.doi.org/10. 1016/S0364-0213 (99) 80005-6 (Pubitemid 126171392)
• Kadie, C. M., Hovel, D., & Horvitz, E. (2001). MSBNx: A component-centric toolkit for modeling and inference with Bayesian networks (Technical Report MSTTR-2001-67). Redmond, WA: Microsoft Research.
• Kautonen, T., Tornikoski, E. T., & Kibler, E. (2011). Entrepreneurial intentions in the third age: The impact of perceived age norms. Small Business Economics, 37, 279-234. http://dx.doi.org/10.1007/s11187-009-9238-y
• King, E., & Ryan, T. P. (2002). A preliminary investigation of maximum likelihood logistic regression versus exact logistic regression. The American Statistician, 56, 163-170. http://dx. doi.org/10.1198/00031300283
• King, G., & Zeng, L. (2001a). Explaining rare events in international relations. International Organization, 55, 693-715. http://dx.doi.org/10.1162/ 00208180152507597 (Pubitemid 33584933)
• King, G., & Zeng, L. (2001b). Logistic regression in rare events data. Political Analysis, 9, 137-163. http://dx.doi.org/10.1093/oxfordjournals. pan. a004868
• Krueger, N. F., & Brazeal, D. V. (1994). Entrepreneurial potential and potential entrepreneurs. Entrepreneurship Theory and Practice, 18, 91-104.
• Krueger, N. F., & Carsrud, A. L. (1993). Entrepreneurial intentions: Applying the theory of planned behavior. Entrepreneurship and Regional Development, 5, 315-330. http://dx.doi.org/10. 1080/08985629300000020
• Krueger, N. F., Reilly, M. D., & Carsrud, A. L. (2000). Competing models of entrepreneurial intentions. Journal of Business Venturing, 15, 411-432. http://dx.doi.org/10.1016/S0883-9026 (98) 00033-0
• Krynski, T. R., & Tenenbaum, J. B. (2007). The role of causality in judgment under uncertainty. Journal of Experimental Psychology: General, 136, 430-450. http://dx.doi.org/10.1037/0096-3445.136.3.430
• Kumar, A., Rao, V. R., & Soni, H. (1995). An empirical comparison of neural network and logistic regression models. Marketing Letters, 6, 251-263. http://dx.doi.org/10.1007/BF00996189
• Lee, S. M., Abbott, P., & Johantgen, M. (2005). Logistic regression and Bayesian networks to study outcomes using large data sets. Nursing Research, 2, 133-138. http://dx.doi.org/10.1097/00 006199-200503000-00009 (Pubitemid 40528993)
• Licht, A. N., & Siegel, J. I. (2006). The social dimensions of entrepreneurship. In M. Casson, B. Yeung, A. Basu, & N. Wadeson (Eds.), The Oxford handbook of entrepreneurship (pp. 514-539). New York, NY: Oxford University Press.
• Lilienfeld, D. E., & Pyne, D. A. (1984). The logistic analysis of epidemiologic prospective studies: Investigation by simulation. Statistics in Medicine, 3, 15-26. http://dx.doi.org/10. I002/sim.4780030104 (Pubitemid 14142273)
• Liñán, F., Battistelli, A., & Moriano, J. A. (2008). Entrepreneurial intentions in Europe. In J. A. Moriano, M. Gorgievski, & M. Lukes (Eds.), Teaching psychology of entrepreneurship: Perspectives from six European countries (pp. 21-43). Madrid, Spain: National Open University (UNED).
• Liñán, F., Rodríguez-Cohard, J. C, & Rueda-Cantuche, J. M. (2011). Factors affecting entrepreneurial intention levels: A role for education. International Entrepreneurship Management Journal, 7, 195-218. http://dx.doi.org/10.1007/sll365-010-0154-z
• Long, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: SAGE.
• López, J. (2009). Modelos predictivos en actitudes emprendedoras: Análisis comparativo de las condiciones de ejecución de las redes bayesianas & la regresión logistica [Predictive models of entrepreneurial attitudes: Comparative performance analysis of Bayesian networks and logistic regression]. (Unpublished doctoral dissertation) Universidad de Almería, Spain.
• López, J., & García, J. (2007). Valores, actitudes y comportamiento ecológico modelados con una red bayesiana [Values, attitudes and ecologic behavior modeled with a Bayesian net]. Medio Ambiente & Comportamiento Humano, 8, 159-175.
• Lopez, J., & García, J. (2009). Asimetría en el razonamiento causal bayesiano bajo incertidumbre [Asymmetry in Bayesian causal reasoning under uncertainty]. Boletín de Psicología, 95, 43-58.
• López, J., & García, J. (2011). Utilidad de las redes bayesianas en psicología. [Utility of the Bayesian networks in psychology]. Almería, Spain: Editorial de la Universidad de Almería.
• Lopez, J., García, J., Cano, C. J., Gea, A. B., & De la Fuente, L. (2010). A definition of potential entrepreneur from a probabilistic point of view. In M. J. Blanca, R. Alarcón, & D. López-Montiel (Coords.), Actas del XI Congreso de Metodología de las Ciencias Sociales & de la Salud (pp. 577-581). Málaga: UMA-Tecnolex.
• López, J., García, J., De la Fuente, L., & De la Fuente, E. I. (2007). Las redes bayesianas como herramienta de modelado en psicología [Bayesian nets as modeling tools in psychology]. Anales de Psicología, 23, 307-316.
• López, J., Ramírez, A., & Casado, M. P. (2012). Modelling entrepreneurial attitudes in women entrepreneurs with bayesian networks. Psychology, 3, 265-271. http://dx.doi.org/10.4236/psych.2012.33037
• López, J., Ruiz-Ruano, A. M., & García, J. (2008, November). Relationship between self-assessment and marks in higher education: linear, logistic and Bayesian analysis. Communication presented at the International Conference of Education, Research and Innovation (ICERI 2008). Madrid, Spain.
• Martin, J., & Van Lehn, K. (1995). Student assessment using Bayesian nets. International Journal of Human-Computer Studies, 42, 575-591. http://dx.doi.org/10.1006/ijhc.1995.1025
• Martinez, I., & Rodríguez, C. (2003). Modelos graficos. [Graphical models]. In Y. del Águila et al. (Eds.), Técnicas estadisticas aplicadas al análisis de datos (pp. 217-257). Almería, Spain: Servicio de Publicaciones de la Universidad de Almería.
• McClelland, D. (1955). Some social consequences of achievement motivation. In M. R. Jones (Ed.), Nebraska Symposium on Motivation. Lincoln, NE: University of Nebraska Press.
• McClelland, D. (1961). The achieving society. New York, NY: Free Press.
• McKenzie, B., Ugbah, S., & Smothers, N. (2007). "Who is an entrepreneur?" Is it still the wrong question? Academy of Entrepreneurship Journal, 13, 23-43.
• Mehta, C. R., & Patel, N. R. (1995). Exact logistic regression: Theory and examples. Statistics in Medicine, 14, 2143-2160. http://dx.doi. Org/10.1002/sim.4780141908
• Miller, B. K., Bell, J. D., Palmer, M., & Gonzalez, A. (2009). Predictors of entrepreneurial intentions: A quasi-experiment comparing students enrolled in introductory management and entrepreneurship classes. Journal of Business and Entrepreneurship, 21(2), 39-62.
• Mislevy, R. J., & Gitomer, D. H. (1996). The role of probabilitybased inference in an intelligent tutoring system. User-Mediated and User-Adapted Interaction, 128, 253-282. http://dx.doi.org/10.1007/BF01126112
• Morales, J. F., Rebolloso, E., & Moya, M. (1994). Actitudes [Attitudes]. In J. F. Morales (Ed.), Psicologia social [Social psychology], (pp. 495-524). Madrid, Spain: McGraw-Hill.
• Morales, M. E. (2006). Modelización & predictión en estadística universitaria [Modeling and prediction in university statistics]. (Unpublished doctoral dissertation). Universidad de Almeria, Spain.
• Moriano, J. A., Gómez, A., Laguna, M., & Roznowski, B. (2008). Validación de un cuestionario para medir la intencion emprendedora. Una aplicación en España & Polonia [Validation of a questionnaire to measure the entrepreneurial intention. An application in Spain and Poland]. In J. F. Morales, C. Huici, A. Gómez, E. Gaviria (Coords.), Método, teoría e investigatión en psicología social [Methot, theory and research in social psychology] (pp. 101-121). Madrid, Spain: Pearson.
• Morillas, J. J. (2009). Los nuevos yacimientos de empleo entre las estrategias para el apoyo a emprendedores en el marco de los programas de desarrollo local: Situatión actual en Andalucía [The new sources of employment between the strategies supporting entrepreneurs within the framework of the programs of local development: Current situation in Andalusia]. (Unpublished doctoral dissertation) Universidad de Almeria, Spain.
• Narayan, S., & Jurafsky, D. (1998, August). Bayesian models of human sentence processing. Communication presented at the XX Annual Meeting of the Cognitive Science Society. Madison, WI.
• Narayan, S., & Jurafsky, D. (2002). A Bayesian model predicts human parse preference and reading times in sentence processing. Advances in Neural Information Processing, 14, 59-65.
• Ng, A. Y, & Jordan, M. I. (2002). On discriminative vs. generative classifiers: A comparation of logistic regression and naive Bayes. Advances in Neural Information Processing Systems, 14, 841-848.
• Ortega, M., & Cayuela, A. (2002). Regresion logistica no condicionada & tamaiio de muestra: Una revisi6n bibliografica [Unconditioned logistic regression and sample size: A reference source review]. Revista Española de Salud Público, 76, 85-93.
• Othman, N. H., & Ishak, S. B. (2009). Attitude choosing a career in entrepreneurship amongst graduates. European Journal of Social Sciences, 10. 419-434.
• Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995). Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. Journal of Clinical Epidemiology, 48, 1503-1510. http://dx.doi.org/10.1016/0895-4356 (95) 00048-8 (Pubitemid 26035533)
• Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996). A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology, 49, 1373-1379. http://dx.doi.org/10.1016/S0895-4356 (96) 00236-3 (Pubitemid 27028925)
• Peñas, M. J., & Quijano, J. (2008, April). ¿Es posible fomentar el caracter emprendedor desde la universidad? Un diseno de la asignatura «Empresa Familiar» [Is it possible to promote entrepreneurial disposition from the university? Design of the subject «Familiar Business»]. Communication presented at the International Congress of Entrepreneurs of the City of Salamanca. Salamanca, Spain.
• Peng, C. Y. J., & So, T. S. H. (2002). Logistic regression analysis and reporting: a premier. Understanding Statistics, I, 31-70.
• Phan, P. H., & Butler, J. E. (2003). Entrepreneurs' attitudes, strategy choices, and firm performance. Journal of Business and Entrepreneurship, 15, 74-91.
• Polopolus, L. C, & Emerson, R. D. (1991). Entrepreneurship, sanctions, and labor contracting. Southern Journal of Agricultural Economics, 12, 57-68.
• Ragland, D. R. (1992). Dichotomizing continuous outcome variables: Dependence of the magnitude of association and statistical power of the cutpoint. Epidemiology, 3, 434-410. http://dx.doi. Org/10.1097/00001648- 199209000-00009
• Reade, S., & Kupper, L. L. (1995). On the effects of predictor misclassification in multiple linear regression analysis. Communications in Statistics: Theory and Methods, 24, 13-37.
• Robinson, P. B., Stimpson, D. V., Huefner, J. C, & Hunt, H. K. (1991). An attitude approach to the prediction of entrepreneurship. Entrepreneurship Theory and Practice, 15, 13-31.
• Rogoff, E. G., & Lee, M. S. (1996). Does firm origin matter? An empirical examination of types of small business owners and entrepreneurs. Academy of Entrepreneurship Journal, 1, 1-17.
• Ross, T., Wettig, H., Grünwald, P., Myllymäki, P., & Tirri, H. (2005). On discriminative Bayesian networks classifiers and logistic regression. Machine Learning, 59, 267-296. (Pubitemid 40890480)
• Ruiz, J., Rojas, A., & Suárez, A. (2008). Actitudes de los estudiantes universitarios de Andalucía ante la creación de empresas [Attitudes of the university students of Andalusia about the creation of companies]. Cádiz, Spain: Servicio de Publicaciones de la Universidad de Cádiz.
• Samuelson, P. A. (1970). Economics (8th Ed.). New York, NY: McGraw-Hill.
• Sinchez, M. L. (2003). El perfil psicologico del autoempleado [The self-employed psychological profile]. (Electronically published doctoral dissertation). Universidad Complutense de Madrid, Spain.
• Shapero, A., & Sokol, L. (1982). The social dimensions of entrepreneurship. In C. Kent, D. Sexton, & K. H. Vesper (Eds.), The encyclopedia of entrepreneurship (pp. 72-90). Englewood Cliffs, NJ: Prentice-Hall.
• Shapero, A. (1975). The displaced, uncomfortable entrepreneur. Psychology Today, 9, 83-133.
• Shapero, A. (1985). Why entrepreneurship? A worldwide perspective. Journal of Small Business Management, 23(4), 1-5.
• Shen, B., Su, X., Greiner, R., Musilek, P., & Cheng, C. (2003, November). Discriminative parameter learning of general bayesian network classifiers. Communication presented at the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-03). Sacramento, CA.
• Silva, L. G, & Barroso, I. M. (2004). Regresión logistica [Logisticregression]. Madrid, Spain: La Muralla/Hespérides.
• Stanworth, J., Stanworth, C., Granger, B., & Blyth, S. (1989). Who becomes an entrepreneur? International Small Business Journal, 8, 11-22. http://dx.doi.org/10.1177/026624268900800101
• Steensma, H. K., Marino, L., & Weaver, K. M. (2000). Attitudes toward cooperative strategies: A cross-cultural analysis of entrepreneurs. Journal of International Business Studies, 31, 591-609. http://dx.doi.org/10.1057/palgrave. jibs.8490924
• Terrin, N., Schmid, C. H., Griffith, J. L., D'Agostino, R., & Selker, H. P. (2003). External validity of predictive models: A comparison of logistic regression, classification trees, and neural networks. Journal of Clinical Epidemiology, 56, 721-729. http://dx.doi.org/10.1016/S0895-356 (03) 00120-3 (Pubitemid 37040807)
• Thompson, J. L. (2004). The facets of the entrepreneur: Indentifying entrepreneurial potential. Management Decision, 42, 243-258. http://dx.doi.org/10.1108/0025l740410515861 (Pubitemid 38334695)
• Vails, F. (1996). Programa autoaplicable de asesoramiento vocacional [Self-applied program of vocational counseling]. Almeria, Spain: Editorial Universidad de Almeria.
• Veciana, J. M. (1989). Caracteristicas del empresario en Espafia [Characteristics of the entrepreneur in Spain]. Papeles de Economia Espanola, 39, 19-36.
• Veciana, J. M., Aponte, M., & Urbano, D. (2005). University students' attitudes towards entrepreneurship: A two countries comparison. International Entrepreneurship and Management Journal, I, 165-182. http://dx.doi.org/10.1007/s 11365-005-1127-5
• Walker, S. H., & Duncan, D. B. (1967). Estimation of the probability of an event as function of several independent variables. Biometrika, 54, 167-179. http://dx.doi.org/10. 2307/2333860
• Whittermore, A. S. (1981). Sample size for logistic regression with small response probability. Journal of American Statistical Association, 76, 27-32.
• Zhao, L. P., & Kolonel, L. (1992). Efficiency loss from categorizing quantitative exposures into qualitative exposures in case-control studies. American Journal of Epidemiology, 136, 464-414.