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Measuring Affect at Work Based on the Valence and Arousal CircumplexModel

Published online by Cambridge University Press:  08 July 2014

Hector P. Madrid*
Affiliation:
Pontificia Universidad Católica de Chile
Malcolm G. Patterson
Affiliation:
University of Sheffield (UK)
*
*Correspondence concerning this articleshould be addressed to Hector P. Madrid. Escuela de Psicología,Pontificia Universidad Católica de Chile, VicuñaMackenna 4860, Macul, Santiago 7820436 (Chile). E-mail: [email protected]

Abstract

Affective states have become a central topic of interest in research onorganizational behavior. Recently, scholars have been paying more attention tothe proposals of the Circumplex Model (Russell, 1980) in order to gain a finer grained understanding ofjob-related affect. However, the limited availability of well-validated measuresto test this model in work settings, particularly in non English-speakingpopulations, is still a major drawback. Using three samples of English-speakingand Spanish-speaking workers, this article offers the cross-validation of theMulti-Affect Indicator (Warr, 2007)between the original English version and its corresponding translation intoSpanish. Multi-group Structural Equation Modeling supported theinstrument’s structure and its invariance between the two languages(English: χ2 = 65.56, df= 48, p = .05; RMSEA = .06;CFI = .97; Spanish: χ2 = 68.68,df = 48, p = .03;RMSEA = .05; CFI = .97). Furthermore, Circular StochasticModeling supported the theoretically proposed circumplex representation(χ2 = 139.85, df= 51, p < .01;χ2/df = 2.74, RMSEA= .06). Thus, this study offers an instrument that provides a moreaccurate approximation to affect at work, both in English and in another of themajor language communities in the world, the Spanish-speaking population.

Type
Research Article
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2014 

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References

Beal, D. J., Weiss, H. M., Barros, E., & MacDermid, S. M. (2005). An episodic process model of affective influences on performance. Journal of Applied Psychology, 90, 10541068. http://dx.doi.org/10.1037/0021-9010.90.6.1054 CrossRefGoogle ScholarPubMed
Benet-Martínez, V., & John, O. P. (1998). Los cinco grandes across cultures and ethnic groups: Multitrait method analyses of the big five in Spanish and English. Journal of Personality and Social Psychology, 75, 729750. http://dx.doi.org/10.1037//0022-3514.75.3.729 Google Scholar
Bindl, U., Parker, S. K., Totterdell, P., & Hagger-Johnson, G. (2012). Fuel of the self-starter: How mood relates to proactive goal regulation. Journal of Applied Psychology, 97, 134150. http://dx.doi.org/10.1037/a0024368 Google Scholar
Birnbaum, M. H. (2004). Human research and data collection via the internet. Annual Review of Psychology, 55, 803832. http://dx.doi.org/10.1146/annurev.psych.55.090902.141601 Google Scholar
Brief, A. P., & Weiss, H. M. (2002). Organizational behavior: Affect in the workplace. Annual Review of Psychology, 53, 279307. http://dx.doi.org/10.1146/annurev.psych.53.100901.135156 Google Scholar
Brislin, R. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1, 185216. http://dx.doi.org/10.1177/135910457000100301 Google Scholar
Browne, M. W. (1992). Circumplex models for correlation-matrices. Psychometrika, 57, 469497. http://dx.doi.org/10.1007/BF02294416 Google Scholar
Byrne, B. M. (2012). Structural equation modeling with mplus. New York, NY: Taylor & Francis Group.Google Scholar
Cifre, E., & Salanova, M. (2002). Multidimensionality and bipolarity of a Spanish version of Warr's (1990) well-being measures. Journal of Psychology, 136, 6974. http://dx.doi.org/10.1080/00223980209604139 CrossRefGoogle ScholarPubMed
DeNeve, K. M., & Cooper, H. (1998). The happy personality: A meta-analysis of 137 personality traits and subjective well-being. Psychological Bulletin, 124, 197229. http://dx.doi.org/10.1037//0033-2909.124.2.197 Google Scholar
Howell, R. T., Rodzon, K. S., Kurai, M., & Sanchez, A. H. (2010). A validation of well-being and happiness surveys for administration via the internet . Behavior Research Methods , 42, 775784. http://dx.doi.org/10.3758/brm.42.3.775 Google Scholar
Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain - Implications for job redesign. Administrative Science Quarterly, 24, 285308. http://dx.doi.org/10.2307/2392498 Google Scholar
Kline, R. (2011). Principles and practice of structural equation modeling. New York, NY: The Gilford Press.Google Scholar
Larsen, R. J., & Diener, E. (1992). Promises and problems with the circumplex model of emotion. In Clark, M. S. (Ed.), Review of personality and social psychology: Emotion (Vol. 13). Newburry Park, CA: Sage.Google Scholar
Lewis, M. P. (2009). Ethnologue languages of the world. Dallas, TX: SIL International Publications.Google Scholar
Mullarkey, S. , D. , W. T., Warr, P. B., Clegg, C. W., & Stride, C. (1999). Measures of job satisfaction, mental health and job-related well-being. Sheffield, UK: Institute of Work Psychology and ESRC Centre for Organization and Innovation.Google Scholar
Muthén, L. K., & Muthén, B. O. (1998–2010). Mplus user’s guide. Los Angeles, CA: Author.Google Scholar
Parker, S. K., Bindl, U., & Strauss, K. (2010). Making things happen: A model of proactive motivation. Journal of Management, 36, 827856. http://dx.doi.org/10.1177/0149206310363732 Google Scholar
Parkinson, B. (1996). Emotions are social. British Journal of Psychology, 87, 663683. http://dx.doi.org/10.1111/j.2044-8295.1996.tb02615.x Google Scholar
Parkinson, B. (2011). How social is the social psychology of emotion? British Journal of Social Psychology, 50, 405413. http://dx.doi.org/10.1111/j.2044-8309.2011.02034.x Google Scholar
Posner, J., Russell, J. A., & Peterson, B. S. (2005). The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology, 17, 715734. http://dx.doi.org/10.1017/S0954579405050340 Google Scholar
Remington, N. A., Fabrigar, L. R., & Visser, P. S. (2000). Reexamining the circumplex model of affect. Journal of Personality and Social Psychology, 79, 286300. http://dx.doi.org/10.1037//0022-3514.79.2.286 Google Scholar
Robles, R., & Paez, F. (2003). Study of Spanish translation and psychometric properties of the positive and negative affect scales (PANAS). Salud Mental, 26, 6975.Google Scholar
Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 11611178. http://dx.doi.org/10.1037/h0077714 Google Scholar
Sandin, B., Chorot, P., Lostao, L., Joiner, T. E., Santed, M. A., & Valiente, R. M. (1999). The PANAS scales of positive and negative affect: Factor analytic validation and cross-cultural convergence. Psicothema, 11, 3751.Google Scholar
Schermelleh-Engel, K., Moosbrugger, H., & Muller, H. (2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research, 8, 2374.Google Scholar
Schimmack, U., Oishi, S., & Diener, E. (2002). Cultural influences on the relation between pleasant emotions and unpleasant emotions: Asian dialectic philosophies or individualism-collectivism? Cognition & Emotion, 16, 705719. http://dx.doi.org/10.1080/02699930143000590 Google Scholar
Seo, M. G., Barrett, L. F., & Bartunek, J. M. (2004). The role of affective experience in work motivation. Academy of Management Review, 29, 423439. http://dx.doi.org/10.5465/AMR.2004.13670972 Google Scholar
Seo, M. G., Barrett, L. F., & Sirkwoo, J. (2008). The structure of affect: History, theory, and implications for emotion research in organizations. In Ashkanasy, N. & Cooper, C. D. (Eds.), Research companion to emotion in organizations. Cheltenham, UK: Edward Elgar Publishing.Google Scholar
Seo, M. G., Bartunek, J. M., & Barrett, L. F. (2010). The role of affective experience in work motivation: Test of a conceptual model. Journal of Organizational Behavior, 31, 951968. http://dx.doi.org/10.1002/job.655 Google Scholar
Skitka, L. J., & Sargis, E. G. (2006). The internet as psychological laboratory. Annual Review of Psychology, 57, 529555. http://dx.doi.org/10.1146/annurev.psych.57.102904.190048 Google Scholar
Schmukle, S. C., & Egloff, B. (2009). Exploring bipolarity of affect ratings by using polychoric correlations. Cognition & Emotion, 23, 272295. http://dx.doi.org/10.1080/02699930801987330 Google Scholar
Spector, P. E., & Fox, S. (2002). An emotion-centered model of voluntary work behavior. Some parallels between counterproductive work behavior and organizational citizenship behavior. Human Resource Management Review, 12, 269292. http://dx.doi.org/10.1016/S1053-4822(02)00049-9 Google Scholar
Totterdell, P., & Niven, K. (2012). Momentary affective states: Moods and discrete emotions. In Weiss, H. M. (Ed.), Handbook of work attitudes and affect. Oxford, UK: Oxford University Press.Google Scholar
Van Dyne, L., Ang, S., & Botero, I. C. (2003). Conceptualizing employee silence and employee voice as multidimensional constructs. Journal of Management Studies, 40, 13591392. http://dx.doi.org/10.1111/1467-6486.00384 Google Scholar
Van Katwyk, P. T., Fox, S., Spector, P. E., & Kelloway, E. K. (2000). Using the Job-Related Affective Well-Being Scale (JAWS) to investigate affective responses to work stressors. Journal Occupational Health Psychology, 5, 219230. http://dx.doi.org/10.1037//1076-8998.5.2.219 Google Scholar
Wall, T. D., Jackson, P. R., Mullarkey, S., & Parker, S. K. (1996). The demands-control model of job strain: A more specific test. Journal of Occupational and Organizational Psychology, 69, 153166. http://dx.doi.org/10.1111/j.2044-8325.1996.tb00607.x Google Scholar
Warr, P. (1990). The measurement of well-being and other aspects of mental-health. Journal of Occupational Psychology, 63, 193210. http://dx.doi.org/10.1111/j.2044-8325.1990.tb00521.x Google Scholar
Warr, P. (1999). Well-being and the workplace. In Kahneman, D., Diener, E., & Schwartz, N. (Eds.), Well-being: The foundations of hedonic psychology. New York, NY: Russell Sage Foundation.Google Scholar
Warr, P. (2007). Work, happiness and unhapiness. New Jersey, NJ: Lawrence Erlbaum Associates.Google Scholar
Warr, P. (2013). How to think about and measure psychological well-being. In Sinclair, R. R., Wang, M., & Tetrick, L. E. (Eds.), Research methods in occupational health psychology. New York, NY: Routledge.Google Scholar
Warr, P., Bindl, U., Parker, S. K. & Inceoglu, I. (2013). Four-quadrant investigation of job-related affects and behaviors. European Journal of Work and Organizational Psychology, 233, 342363. http://dx.doi.org/10.1080/1359432X.2012.744449 Google Scholar
Warr, P., & Parker, S. K. (2010). IWP multi-affect indicator. (Unpublished instrument). Sheffield, UK: Institute of Work Psychology, University of Sheffield.Google Scholar
Watson, D., & Clark, L. A. (1992). On traits and temperament - General and specific factors of emotional experience and their relation to the 5-factor model. Journal of Personality, 60, 441476. http://dx.doi.org/10.1111/j.1467-6494.1992.tb00980.x Google Scholar
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect - The PANAS scales. Journal of Personality and Social Psychology, 54, 10631070. http://dx.doi.org/10.1037//0022-3514.54.6.1063 Google Scholar
Weiss, H. M., & Cropanzano, R. (1996). Affective events theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. In Staw, B. M. & Cummings, L. L. (Eds.), Research in organizational behavior (Vol. 18, pp. 174). Greenwich, UK: JAI Press.Google Scholar
Yik, M., Russell, J. A., & Steiger, J. H. (2011). A 12-point circumplex structure of core affect. Emotion, 11, 705731. http://dx.doi.org/10.1037/a0023980 Google Scholar