Tomás Vargas-Halabí
Universidad de Costa Rica, Costa Rica
Ronald Mora-Esquivel
Instituto Tecnológico de Costa Rica, Costa Rica
Abstract
The present study aims to present the Cognitive Interview as a useful pre-test tool for adapting the Denison Organizational Culture Survey (DOCS) to the Costa Rican business context, it was previously adapted in Valencia, Spain by Bonavia, Prado & Barberá (2009). The DOCS scale was originally developed in English by Denison (1984), Denison & Mishra (1995) and Fey & Denison (2003). The Cognitive Interview was applied to a sample of 15 individuals with supervisory or managerial positions in organizations with 25 or more employees. Based on the results of the interviews the scale was adjusted to local parlance. It was then applied in two samples, with similar characteristics, but belonging two different populations: a) 314 students drawn from 445 active students enrolled in Master’s Programs (MBA and Project Management) at the Costa Rican Institute of Technology, whose prerequisite for admission stipulates experience in professional positions, preferably supervisory and managerial, and; b) 368 managers drawn from a sampling frame of 1743 companies from various business associations. Eight types of confirmatory factor analyses were performed using EQS 6.3 software in order to explore the dimensionality of the adapted scale and to debug the final version. The Cognitive Interview was confirmed as a valuable tool in this process and the final scale (denominated DOCSCR-V2) demonstrated adequate functioning in the Costa Rican organizational context.
Keywords: DOCS model, cognitive interview, scale adaptation, organizational culture, SEM, confirmatory factor analysis
Referencias
Álvarez, N., González, J., & Mangin, J. (2006). Normalidad y otros supuestos en el análisis de covarianzas. En J. Lévy Mangin & J. Varela Mallou (Eds.), Modelización con estructuras de covarianza en ciencias sociales: Temas esenciales, avanzados y aportaciones especiales (pp. 31-57). España: Netbiblo.
Sadegh Sharifirad, M., & Ataei, V. (2012). Organizational culture and innovation culture: exploring the relationships between constructs. Leadership & Organization Development Journal, 33(5), 494-517.
Baggini, J., & Fosl, P. (2010). The philosopher`s toolkit: A compendium of philosophical concepts and methods. Oxford: Wiley-Blackwell.
Baubeta, A., Mallou, J., Piñeiro, J., & Mangin, J. (2006). El análisis factoral confirmatorio. En J. Lévy Mangin & J. Varela Mallou (Eds.), Modelización con estructuras de covarianza en ciencias sociales: Temas esenciales, avanzados y aportaciones especiales (pp. 119-143). España: Netbiblo.
Bearden, W., Netemeyer, R., & Haws, K. (2011). Handbook of marketing scales. Multi-Item measures for marketing and consumer behavior research. California: SAGE.
Beatty, P., & Willis, G. (2007). Research synthesis: The practice of cognitive interviewing . Public Opinion Quaterly, 71(2), 287-311.
Bentler, P. (2006). EQS 6 Structural Equations Program Manual. California: Multivariate Software, Inc.
Blair, J., & Brick, P. D. (2010). Methods for the analysis of cognitive interviews. Proceedings of the Section on Survey Research Methods, 1-2, 3739-3748.
Bonavia, T., Prado, G. V., & Barberá, T. D. (2009). Adaptación al castellano y estructura factorial del Denison Organizational Culture Survey. Psicothema, 21(4), 633-638.
Boyce, A., Niemen, L., Gillespie, M., Ryan, A., & Denison, D. (2015). Which comes first, organizational culture or performance? A longitudinal study of causal priority with automobile dealerships. Journal of Orgnizational Behavior, 36(3), 339-359. doi:10.1002/job.1985
Byrne, B. (2006). Structural equations modeling with EQS: Basics concepts, applications, and programming. New York: Routledge.
Colton, D., & Covert, R. (2007). Designing and constructing instruments for social research and evaluation. California: John Wiley & Sons, Inc.
Creswell, J. (2013). Qualitative Inquiry and Reseach Desing: Choosing Among Five Approaches (Third, ed.) California: Sage
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. (Fourth, ed.). California: Sage publications
Crook, R., Ketchen, D., Combs, J., & Todd, S. (2008). Strategic resources and performance: A Meta-analysis. Strategic Management Journal, 29, 1141-1154. doi:10.1002/smj
Denison, D. (1984). Bringing corporate culture to the bottom line. Organizational Dynamics, 13(2), 4-22.
Denison, D., & Mishra, A. (1995). Toward a theory of organizational culture and effectiveness. Organization Science, 6(2), 201-223.
Denison, D., Haaland, S., & Goelzer, P. (2003). Corporate culture and organizational efectiveness: is there a similar pattern around the world? En W. Mobley, & P. Dorfman, Advances in gobal leadership (Vol. 3, págs. 205-226). Bradford: Emerald Group Publishing Ltd.
Denison, D., Janovics, J., Young, J., & Cho, H. (2006). Diagnosing organizational cultures: validating a model and method. Lausanne: International Institute for Management Development.
Denison, D., Neiminen, L., & Kotbra, L. (2012). Diagnosing organizational culture: An conceptual and empirical review of effectiveness surveys. European Journal of Work and Organizational Psycology, 23(1), 1-17.
DesRoches, D. (2009). Establishment survey. En P. Lavrakas, Encyclopedia of survey research methods (pp. 239-243). California: SAGE.
Fey, C., & Denison, D. (2003). Organizational culture and efectiveness: Can american theory be applied in Rusia? Organization Science, 14(6), 686-706.
Gillespie, M., Denison, D., Haaland, S., Smerek, R., & Neale, W. (2008). Linking organizational culture and customer satisfaction: Results from two companies in different industries. European Journal of Work and Organizational Psychology, 17(1), 112-132.
Hair, J., Black, W., Babin, A., & Anderson, R. (2014). Multivariate Data Analysis: Pearson new international edition (Setima ed.). New Jersey, Essex: Pearson.
Highhouse, S., & Gillespie, J. (2009). Do Samples Really Matter That Much? En C. Lance, & R. Vandenberg, Statistical and Methodological Myths: Doctrine, Verity and Fable in the Organizational and Social Sciences (pp. 247-265). New York: Routledge.
Hunter, J., & DeMaio, T. (2003). Results & Recommendations from the Cognitive Pretesting of the 2003 Public School Questionnaire from the Schools and Staffing Survey. Washington D.C.: Statistical Research Division U.S. Bureau of the Census.
Iarossi, G. (2006). The power of survey desing: A user`s guide for managing survey, interpreting result, and influencing respondents. Washington, DC: World Bank .
Jung, T., Scott, T., Davies, H., Bower, P., Whalley, D., McNally, R., & Mannion, R. (November-December de 2009). Instruments for exploring organizational culture: A review of the literature. Public Administration Review, 69(6), 1087-1096.
Kast, F., & Rosenweing, J. (1972). General system theory: Applications for organizations and management. Academy of Management Journals, 15(4), 447- 465.
Keith, T. (2015). Multiple regression and beyond: An introduction to multiple regression and structural equation modeling. New York: Routledge.
Khan, S. (2014). Scholarly contributions of Daniel Denison in the field of learning organizations. International Journal of Organizational Learning and Change, 2(1), 6-10.
Kline, R. (2011). Principles and practice of structural equation modeling. (Third ed.). New York: The Guilford Press.
Krosnick, J. A., & Presser, S. (2010). Question and questionnaire design. In P. Mardsen, & J. Wright (Eds.), Handbook of survey research (Second ed., pp. 263-314). United Kingdom: Emerald Group Publishing Limited.
Lee, T., Cai, L., & MacCallum, R. (2012). Power analysis for tests of Structural Equation Models. En R. Hoyle, Handbook of structural equation modeling (pp. 181-194). New York : The Guilford Press.
Little, T., Cunningham, W., Shahar, G., & Widaman, K. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9(2), 151-173.
Little, T., Rhemtulla, M., Gibson, K., & Schoemann, A.M. (2015). Why the items versus parcels controversy needn’t be one. Psychological Methods, 28(3), 285-300. DOI: 10.1037/a0033266
MacCallum, R., Browne, M., & Sugawara, H. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149.
Martin, E. (2006). Survey Questionnaire Construction. In M. E, Survey Questionnaire Construction (pp. 1-12). Washington: Director’s Office U.S. Census Bureau.
Martínez, M., Hernández, M., & Hernández, M. (2006). Psicometría. Madrid: Alianza Editorial, S.A.
Meadows, D. H., & Wright, D. (2008). Thinking in Systems: A primer. Chelsea: Green Publishing.
Possakoff, P., MacKenzie, S., Lee, J., & Podsakoff, N. (2013). Common method biases in behavioral research: A critical review of literature and recommended remedies. Journal of Applied Psycholoy, 88(1), 879-903.
Preacher, K. J., & Coffman, D. L. (Mayo de 2006). Computing power and minimum sample size for RMSEA [Computer software]. Retrieved from http://www.quantpsy.org/rmsea/rmsea.htm
Presser, S., & Blair, J. (1994). Survey pretesting: Do different methods produce different results?. Sociological methodology, 24, 73-104. DOI: 10.2307/270979.
Rencher, A., & Christensen, W. (2012). Methods of multivariate analysis. New Jersey: John Wiley & Sons, Inc.
Roth, A., Schroeder, R., Huang, X., & Murat, M. (2008). Handbook of Metrics for research in operations Management: Multi-item Measurement scales and objetive items. California: SAGE.
Solís, M. (2015). The dilemma of combining positive and negative items in scales. Psicothema, 27(2), 192-200.
Santisteban, C. (2009). Principios de pscicometría. Madrid: Sïntesis.
Schumacker, E., & Lomax, R. (2010). A beginner’s guide to structural equation modeling. New York: Routledge Taylor & Francis Group.
Slavec, A., & Drnovšek, M. (2012). A perspective on scale development in entrepreneurship research. Economic and Business Review, 14(19), 39-62.
Smith-Castro, V., & Molina, M. (2011). La entrevista cognitiva: Guía para su aplicación en la evaluación y mejoramiento de instrumentos de papel y lápiz. San José, Costa Rica: Instituto de Investigaciones Psicológicas, Universidad de Costa Rica.
Soper, Daniel. (2015). A-priori Sample Size Calculator for Structural Equation Models. [Programa de Cómputo]. Retrieved from www.danielsoper.com/statcalc
Stevens, J. (2009). Applied multivariate statistics for the social sciences (Fifth ed.). New Jersey: Routledge.
Tourangeau, R., & Bradburn, N.M. (2010). The Psychology of Survey Response. In P. Mardsen , & J. Wright (Eds.), Handbook of survey research (Seconded., pp. 263-314). United Kingdom: Emerald Group Publishing Limited.
Tran, T. (2009). Developing Cross-Cultural Measurement. New York: Oxford University Press, Inc.
Ullman, J. (2013). Structural equation modeling. In B. Tabachnick, & L. Fidell (Eds.), Using Multivariate Statistics (pp. 676-780). Boston: Pearson.
Vargas-Halabí, T., & Mora-Esquivel, R. (2016). Efecto de la cultura organizativa en la innovacion: Un estudio empírico. Revista de Ciencias Económicas, 2(34), 9-46.
Vargas-Halabí, T., Mora-Esquivel, R. & Ortiz, C. (2015). Cultura organizativa e innovación: un análisis temático en empresas de Costa Rica. Revista Tec Empresarial, 9(2), 7-18.
Vercellotti, T. (2008). Comprehension. In P. Lavrakas, Encyclopedia of survey research methods (pp. 117-118). California: SAGE.
Westland, Christopher. (2015). Structural Equation Models: From paths to networks. New York: Springer.
Williams, L., Vandenberg, R., & Edwards, J. (2009). Structural equation modeling in management research: A guide for improved analysis. The Academy of Management Annals, 3(1), 543-604.
Yang, Y., & Green, S. B. (2011). Coefficient alpha: A reliability coefficient for the 21st century?. Journal of Psychoeducational Assessment, 29(4), 377-392.
Yin, R. (2011). Qualitative research from start to finish. New York: The Guilford Press.