Validation of the job performance scale in argentinean workers.

Authors

  • Sebastián Gabini Facultad de Psicología y Relaciones Humanas, Universidad Abierta Interamericana, Rosario.Facultad de Medicina y Ciencias de la Salud, Universidad Abierta Interamericana, Rosario.Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Author https://orcid.org/0000-0002-0997-1423
  • Solana Salessi Facultad de Derecho y Ciencias Sociales del Rosario, Pontificia Universidad Católica Argentina.Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Author https://orcid.org/0000-0001-9496-9493

DOI:

https://doi.org/10.35670/1667-4545.v16.n1.15714

Keywords:

Job Performance, Psychometric Properties, Internal Structure Evidence

Abstract

The aim  of  this  study  was  to  validate  and  analyze  psychometric  properties  of Koopmans et al. (2013) Individual Work Performance Scale. A pilot study with 31 postgraduate students was performed to assay the operational equivalence of  the  scale.  A  main  study  was  carried  out,  in  order  to  analyze  the psychometric properties of the scale adapted in the pilot study. This time, the non-probabilistic  sample  comprised  434  workers.  Factor  analyses (exploratory and confirmatory) were executed over the data obtained. Both of them  indicated  a  trifactorial  structure  with  adequate  internal  consistency (task  performance:  ?  =  .76,  counterproductive  behaviors:  ?  =  .76,  and contextual performance: ? = .72), composite reliability (CR greater than .70), and  convergent  validity  (AVE  greater  than  .50).  Argentinean  version  of  the instrument  was  conformed  by  13  items  and  proved  to  be  a  reliable  and parsimonious scale to measure perceived job performance.

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References

Aarabi, M. S., Subramaniam, I. D., Almintisir, A. B., & Akeel, A. B. (2013). Relationship between motivational factors and job performance of employees in malaysian service industry. Asian Social Science, 9(9), 301-310. doi: 10.5539/ass.v9n9p301

Aguinis, H., & Edwards, J. (2014). Methodological wishes for the next decade and how to make wishes come true. Journal of Management Studies, 51(1), 143-174. doi: 10.1111/joms.12058

Aguinis, H., Joo, H., & Gottfredson, R. K. (2011). Why we hate performance management - And why we should love it. Business Horizons, 54(6), 503-507. doi: 10.1016/j.bushor.2011.06.001

American Psychological Association. (2010). Publication manual of the American Psychological Association (6ª ed.). Washington, DC: American Psychological Association.

Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. doi: 10.6018/analesps.29.3.178511

Baglin, J. (2014). Improving your exploratory factor analysis for ordinal data: A demonstration using FACTOR. Practical Assessment, Research & Evaluation, 19(5), 2-15. Recuperado de http://pareonline.net/getvn.asp?v=19&n=5

Bagozzi, R., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8-34. doi: 10.1007/s11747-011-0278-x

Bentler, P. (2006). EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software.

Chiang, C., & Hsieh, T. (2012). The impacts of perceived organizational support and psychological empowerment on job performance: The mediating effects of organizational citizenship behavior. International Journal of Hospitality Management, 31(1), 180-190. doi: 10.1016/j.ijhm.2011.04.011

Consejo Nacional de Investigaciones Científicas y Técnicas, Comité de ética (2006). Lineamientos para el comportamiento ético en las Ciencias Sociales y Humanidades (Resolución No. 2857). Buenos Aires: Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).

Dalal, R. S., Baysinger, M., Brummel, B. J., & LeBreton, J. M. (2012). The relative importance of employee engagement, other job attitudes, and trait affect as predictors of job performance. Journal of Applied Social Psychology, 42(1), 295-325. doi: 10.1111/j.1559-1816.2012.01017.x

Díaz-Cabrera, D., Hernández-Fernaud, E., Isla-Díaz, R., Delgado-Rodríguez, N., Díaz-Vilela, L., & Rosales-Sánchez, C. (2014). Factores relevantes para aumentar la precisión, la viabilidad y el éxito de los sistemas de evaluación del desempeño laboral. Papeles del Psicólogo, 35(2), 115-121. Recuperado de http://www.redalyc.org/pdf/778/77831095004.pdf

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equations models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi: 10.2307/3151312

Gadermann, A. M., Guhn, M., & Zumbo, D. (2012). Estimating ordinal reliability for Likert-tipe and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17(3), 1-13. Recuperado de http://pareonline.net/pdf/v17n3.pdf

Gruman, J. A., & Saks, A. M. (2011). Performance management and employee engagement. Human Resource Management Review, 21(2), 123-136. doi: 10.1016/j.hrmr.2010.09.004

Hair, J. E., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham R. L. (2010). Multivariate Data Analysis (6ª ed.). Upper Saddle River, NJ: Pearson-Prentice Hall.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115-135. doi: 10.1007/s11747-014-0403-8

Hoffmann, A., Stover, J., de la Iglesia, G., & Fernández-Liporace, M. (2013). Correlaciones policóricas y tetracóricas en estudios factoriales exploratorios y confirmatorios. Ciencias Psicológicas, 7(2), 151-164. Recuperado de http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S1688-42212013000200005

Kline, R. B. (2011). Principles and practice of structural equation modeling (3ª ed.). New York, NY: Guilford.

Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., Van Buuren, S., Van der Beek, A. J., & De Vet, H. C. (2013). Development of an individual work performance questionnaire. International Journal of Productivity and Performance Management, 62(1), 6-28. doi: 10.1108/17410401311285273

Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., De Vet, H. C., & Van der Beek, A. J. (2014). Measuring individual work performance: Identifying and selecting indicators. Work, 48(2), 229-238.

Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., Lerner, D., De Vet, H. C., & Van der Beek, A. J. (2016). Cross-cultural adaptation of the Individual Work Performance Questionnaire. Work, 53(3), 609-619.

LePine, J. A., Erez, A., & Johnson, D. E. (2002). The nature and dimensionality of organizational citizenship behavior: A critical review and meta-analysis. Journal of Applied Psychology, 87(1), 52-65. doi: 10.1037/0021-9010.87.1.52

Lloret-Segura, S., Ferreres, A., Hernández, A., & Tomás, I. (2014). El análisis factorial exploratorio de los ítems: Una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. doi: 10.6018/analesps.30.3.199361

Lorenzo-Seva, U., & Ferrando, P. J. (2013). FACTOR 9.2: A comprehensive program for fitting exploratory and semiconfirmatory factor analysis and IRT models. Applied Psychological Measurement, 37(6), 497-498. doi: 10.1177/0146621613487794

Muñiz, J., Elosua, P., & Hambleton, R. (2013). Directrices para la traducción y adaptación de los tests: Segunda edición. Psicothema, 25, 151-157. Recuperado de http://www.psicothema.com

Murphy, K. R. (1990). Job performance and productivity. En K. R. Murphy & F. E. Saal (Eds). Psychology in Organizations: Integrating science and practice (pp. 157-176). Hillsadle, NJ: Erlbaum.

O’Boyle, E. H., Humphrey, R. H., Pollack, J. M., Hawver, T. H., & Story, P. A. (2011/2010). The relation between emotional intelligence and job performance: A meta?analysis. Journal of Organizational Behavior, 32(5), 788-818. doi: 10.1002/job.714

Pablos-Teijeiro, J. M., & Biedma-Ferrer, J. M. (2013). La evaluación del rendimiento individual. Un instrumento válido para lograr la eficiencia en la gestión de recursos humanos en las administraciones públicas. Gestión y Análisis de Políticas Públicas, 10, 1-18. doi: 10.24965/gapp.v0i10.10115

Rich, B. L., LePine, J. A., & Crawford, E. R. (2010). Job engagement: Antecedents and effects on job performance. Academy of Management Journal, 53(3), 617-635. doi: 10.5465/amj.2010.51468988

Robbins, S., & Judge, T. (2009). Comportamiento organizacional (13ª ed.). México, DF: Pearson Educación.

Satorra, A. (2002). Asymptotic robustness in multiple group linear-latent variable models. Econometric Theory, 18(2), 297-312. doi: 10.1017.S0266466602182041

Schoorman, D. F. & Mayer, R. C. (2008). The value of common perspectives in self-reported appraisals: You get what you ask for. Organizational Research Methods, 11, 148-159. doi: 10.1177/1094428107307168

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Published

2016-06-01

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Section

Investigaciones originales

How to Cite

Validation of the job performance scale in argentinean workers. (2016). Revista Evaluar, 16(1). https://doi.org/10.35670/1667-4545.v16.n1.15714