Cognitive Reflection, Life Satisfaction, Emotional Balance and Job Performance

  1. Mario Lado 1
  2. Inmaculada Otero 1
  3. Jesús F. Salgado 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Journal:
Psicothema

ISSN: 0214-9915 1886-144X

Year of publication: 2021

Volume: 33

Issue: 1

Pages: 118-124

Type: Article

More publications in: Psicothema

Abstract

Background: The validity of individual difference variables for predicting important life phenomena, such as job performance, has been studied for over a century. However, the relationships between some of them have scarcely been investigated. This paper presents a study on the relationship between cognitive reflection (CR), satisfaction with life (SWL), and emotional balance (EB) with job performance. Method: The participants were 245 managers (140 men and 105 women) working in companies in various economic sectors. Results: The results showed that CR was not significantly related to job performance but that SWL and EB were valid predictors. Moreover, CR correlated significantly with SWL and EB. Multiple regression analysis showed that neither CR nor EB showed incremental validity over SWL in predicting job performance. Conclusions: These findings suggest that CR may not be an important variable in the workplace, at least regarding job performance, and that it is not a fully cognitive construct because some degree of its variance may be shared with motivational and personality traits.

Funding information

This research was partially supported by grant PSI2017-87603-P from the Spanish Ministry of Education to Jesús F. Salgado.

Funders

Bibliographic References

  • Ahmed, N., & Malik, B. (2019). Impact of psychological empowerment on job performance of teachers: Mediating role of psychological wellbeing. Review of Economics and Development Studies, 5(3), 451-460.https://doi.org/10.26710/reads.v5i3.693
  • Baron, J., Scott, S., Fincher, K., & Metz, S. E. (2015). Why does the cognitive reflection test (sometimes) predict utilitarian moral judgment (and other things)? Journal of Applied Research in Memory and Cognition, 4(3), 265-284. https://doi.org/10.1016/j.jarmac.2014.09.003
  • Black, J. S., & Porter, L. W. (1991). Managerial behaviors and job performance: A successful manager in Los Angeles may not succeed in Honk Kong. Journal of International Business Studies, 22(1), 99-113. https://doi.org/10.1057/palgrave.jibs.8490294
  • Browne, M. W. (1975). Predictive validity of a linear regression equation. British Journal of Mathematical and Statistical Psychology, 28(1), 79-87. https://doi.org/10.1111/j.2044-8317.1975.tb00550.x
  • Busseri, M. A. (2015). Toward a resolution of the tripartite structure of subjective well-being. Journal of Personality, 84(4), 413-428. https://doi.org/10.1111/jopy.12116
  • Busseri, M. A. (2018). Examining the structure of subjective well-being through meta-analysis of the associations among positive affect, negative affect, and life satisfaction. Personality and Individual Differences, 122, 68-71. https://doi.org/10.1016/j.paid.2017.10.003
  • Busseri, M. A., & Sadava, S. W. (2011). A review of the tripartite structure of subjective well-being: Implications for conceptualization, Cognitive Reflection, Life Satisfaction, Emotional Balance, and Job Performance operationalization, analysis, and synthesis. Personality and Social Psychology Review, 15(3), 290-314. https://doi.org/10.1177/1088868310391271
  • Castellano, E., Muñoz Navarro, R., Toledo, M. S., Spontón, C., & Medrano, L. A. (2019). Cognitive processes of emotional regulation, burnout and work engagement. Psicothema, 31(1), 73-80. https://doi.org/10.7334/psicothema2018.228
  • Cattin, P. (1980). Estimation of the predictive power of a regression model. Journal of Applied Psychology, 65(4), 407-414. https://doi.org/10.1037/0021-9010.65.4.407
  • Cesarini, D., Johannesson, M., Magnusson, P. K., & Wallace, B. (2012). The behavioral genetics of behavioral anomalies. Management Science, 58(1), 21-34. https://doi.org/10.1287/mnsc.1110.1329
  • Corgnet, B., Hernán-Gonzalez, R. H., & Mateo, R. (2015) Cognitive reflection and the diligent worker: An experimental study of millennials. PLoS ONE, 10, e0141243. https://doi.org/10.1371/journal.pone.0141243
  • Cotter, K. L., & Raju, N. S. (1982). An evaluation of formula-based population squared cross-validity estimates and factor score estimates in prediction. Educational and Psychological Measurement, 42(2), 493-519. https://doi.org/10.1177/001316448204200213
  • Cropanzano, R., & Wright, T. A. (1999). A 5-year study of change in the relationship between well-being and job performance. Consulting Psychology Journal: Practice and Research, 51(4), 252-265. https://doi.org/10.1037/1061-4087.51.4.252
  • Cropanzano, R., & Wright, T. A. (2001). When a “happy” worker is really a “productive” worker: A review and further refi nement of the happy productive worker thesis. Consulting Psychology Journal: Practice and Research, 53(3), 182-199. https://doi.org/10.1037/1061-4087.53.3.182
  • Diener, E. (2000). Subjective well-being: The science of happiness, and a proposal for a national index. American Psychologist, 55, 34-43. https://doi.org/10.1037/0003-066X.55.1.34
  • Diener, E. (2006). Guidelines for national indicators of subjective wellbeing and ill-being. Journal of Happiness Studies, 7(4), 397-404. https://doi-org/10.1007/s10902-006-9000-y
  • Diener, E., & Biswas-Diener, R. (2008). Happiness: Unlocking the mysteries of psychological wealth. Blackwell.
  • Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71-75. https://doi.org/10.1207/s15327752jpa4901_13
  • Diener, E., Oishi, S., & Lucas, R. (2003). Personality, culture, and subjective well-being: Emotional and cognitive evaluations of life. Annual Review of Psychology, 54(1), 403-425. https://doi.org/10.1146/annurev.psych.54.101601.145056
  • Diener, E., Wirtz, D., Tov, W., Kim-Prieto, C., Choi, D., Oishi, S., & Biswas-Diener, R. (2009). New measures of well-being: Flourishing and positive and negative feelings. Social Indicators Research, 97(2), 143-156. https://doi.org/10.1007/s11205-.009-9493-y
  • Finucane, M. L., & Gullion, C. M. (2010). Developing a tool for measuring the decision-making competence of older adults. Psychology and Aging, 25(2), 271-288. https://doi.org/10.1037/a0019106
  • Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25-42. https://doi.org/10.1257/089533005775196732
  • Gervais, W. M., van Elk, M., Xygalatas, D., McKay, R. T., Aveyard, M., Buchtel, E. E., Dar-Nimrod, I., Klocova, E. K., Ramsay, J. E., Riekki, T., Svedholm-Hakkinen, A. M., & Bulbulia, J. (2018). Analytic atheism: A cross-culturally weak and fi ckle phenomenon? Judgment and Decision Making, 13(3), 268-274. https://doi.org/10.31234/osf.io/92r8x
  • Guthrie, C., Rachlinski, J. J., & Wistrich, A. J. (2008). Blinking on the bench: How judges decide cases. Cornell Law Review, 93(1), 1-44.
  • Haider, S., Jabeen, S., & Ahmad, J. (2018). Moderated mediation between work life balance and employee job performance: The role of psychological wellbeing and satisfaction with coworkers. Journal of Work and Organizational Psychology, 34(1), 29-33. https://doi.org/10.5093/jwop2018a4
  • Hernández, G. P., Rovira, T., Quirin, M., & Edo, S. (2020). A Spanish adaptation of the implicit positive and negative affect test (IPANAT). Psicothema, 32(2), 268-274. https://doi.org/10.7334/psicothema2019.297
  • Insler, M., Compton, J., & Schmitt, P. (2015). The investment decisions of young adults under relaxed borrowing constraints. Journal of Behavioral and Experimental Economy, 64, 106-121. https://doi.org/10.1016/j.socec.2015.07.004
  • Kahneman, D. (2011). Thinking, fast and slow. Farrar, Strauss, and Giroux.
  • Kahneman, D., & Frederick, S. (2002). Representativeness revisited: Attribute substitution in intuitive judgment. In T. Gilovich, D., Griffi n, & D., Kahneman (Eds.), Heuristics of intuitive judgment: Extensions and applications (pp. 49-81). Cambridge University Press.
  • Kromrey, J. D., & Hines, C. V. (1996). Estimating the coefficient of crossvalidity in multiple regression: A comparison of analytical and empirical methods. Journal of Experimental Education, 64(3), 240-266. https://doi.org/10-1080/00220973.1996.9943806
  • Larsen, R. (2009). The contributions of positive and negative affect to emotional well-being. Psychological Topics, 18(2), 247-266.
  • Lautenschlager, G. J. (1990). Sources of imprecision in the formula of cross-validated multiple correlation. Journal of Applied Psychology, 75(4), 460- 462. https://doi.org/10.1037/0021-910.75.4.460
  • Moradi, S., Nima, A. A., Rapp Ricciardi, M., Archer, T., & García, D. (2014). Exercise, character strengths, well-being, and learning climate in the prediction of performance over a 6-month period at a call center. Frontiers in Psychology, 5, 497. https://doi.org/10.3389/fpsyg.2014.00497
  • Moscoso, S. Salgado, J. F., & Anderson, N. (2017). How do I get a job, what are they looking for? Personnel selection and assessment. In N. Chmiel, F. Fraccaroli, & M. Sverke (Eds.), An introduction to work and organizational psychology (pp. 25-47). Wiley.
  • Ones, D. S., Dilchert, S., Viswesvaran, C., & Salgado, J. F. (2017). Cognitive ability: Measurement and validity for employee selection. In N. Tippins & J. L. Farr (Eds.), Handbook of employee selection (2nd ed., pp. 251-276). Routledge.
  • Otero, I. (2019). Construct and criterion validity of cognitive reflection [Unpublished doctoral dissertation]. University of Santiago de Compostela.
  • Otero, I., Salgado, J. F., & Moscoso, S. (2020). Cognitive reflection, cognitive abilities, and academic performance: A meta-analytic study [Manuscript submitted for publication]. Department of Political Science and Sociology, University of Santiago de Compostela.
  • Pennycook, G., Cheyne, J. A., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2014a). Cognitive style and religiosity: The role of conflict detection. Memory & Cognition, 42(1), 1-10. https://doi.org/10.3758/s13421-013-0340-7
  • Pennycook, G., Cheyne, J. A., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2014b). The role of analytic thinking in moral judgments and values. Thinking & Reasoning, 20(2), 188-214. https://doi.org/10.1080/13546783.2013.865000
  • Piazza, J., & Sousa, P. (2014). Religiosity, political orientation, and consequentialist moral thinking. Social Psychological and Personality Science, 5(3), 334-342. https://doi.org/10.1177/1948550613492826
  • Reyna, V. F., Helm, R. K., Weldon, R. B., Shah, P. D., Turpin, A. G., & Govindgari, S. (2018). Brain activation covaries with reported criminal behaviors when making risky choices: A fuzzy-trace theory approach. Journal of Experimental Psychology: General, 147(7), 1094-1109. https://doi.org/10.1037%2Fxge0000434
  • Reyna, V. F., & Wilhelms, E. A. (2017). The gist of delay of gratification: Understanding and predicting problem behaviors. Journal of Behavioral Decision Making, 30(2), 610-625. https://doi.org/10.1002/bdm.1977
  • Salgado, J. F. (2014). Cognitive Reflection Test (CRT-10) Technical Report [Unpublished manuscript]. Department of Work and Organizational Psychology, University of Santiago de Compostela.
  • Salgado, J. F. (2015). Estimating coefficients of equivalence and stability for job performance ratings: The importance of controlling for transient error on criterion measurement. International Journal of Selection and Assessment, 23(1), 37-44. https://doi.org/10.1111/ijsa.12093
  • Salgado, J. F. (2017). Using ability tests in selection. In H. Goldstein, E. Pulakos, J. Passmore, & C. Semedo (Eds.), The Wiley-Blackwell handbook of psychology of recruitment, selection, and employee retention (pp. 113-150). Wiley.
  • Salgado, J. F., & Moscoso, S. (1996). Meta-analysis of interrater reliability of job performance ratings in validity studies of personnel selection. Perceptual and Motor Skills, 83, 1195-1201. https://doi.org/10.2466/pms.1996.83.3f.1195
  • Salgado, J. F., & Moscoso, S. (2019a). Meta-analysis of interrater reliability of supervisory performance ratings: Effects of the appraisal purpose, scale type, and range restriction. Frontiers of Psychology, 10, 2281. https://doi.org/10.3389/fpsyg.2019.02281
  • Salgado, J. F., Blanco, S., & Moscoso, S. (2019). Subjective well-being and job performance: Testing of a suppressor effect. Journal of Work and Organizational Psychology, 35(2), 213-216. https://doi.org/10.5093/jwop2019a9
  • Salgado, J. F., & Moscoso, S. (2019b). Meta-analysis of the validity of general mental ability for five performance criteria: Hunter and Hunter (1984) revisited. Frontiers of Psychology, 10, 2227. https://doi.org/10.3389/fpsyg.2019.02227
  • Salgado, J. F., Otero, I., & Moscoso, S. (2019). Cognitive reflection and general mental ability as predictors of job performance. Sustainability, 11(22), 6498. https://doi.org/10.3390/su11226498
  • Singh, P., Suar, D., & Leiter, M. P. (2011). Antecedents, work-related consequences, and buffers of job burnout among Indian software developers. Journal of Leadership & Organizational Studies, 19(1), 83-104. https://doi.org/10.1177/1548051811429572
  • Staw, B. M., & Barsade, S. G. (1993). Affect and managerial performance: A test of the sadder-but-wiser vs. happier-and-smarter hypotheses. Administrative Science Quarterly, 38(2), 304-331. https://doi.org/10.2307/2393415
  • Taylor, M. P. (2013). Bias and brains: Risk aversion and cognitive ability across real and hypothetical settings. Journal of Risk and Uncertain, 46(3), 299-320. https://doi.org/10.1007/s11166-013-9166-8
  • Taylor, M. P. (2016). Are high-ability individuals really more tolerant of risk? A test of the relationship between risk aversion and cognitive ability. Journal of Behavioral and Experimental Economics, 63, 136-147. https://doi.org/10.1016/j.socec.2016.06.001
  • Teovanović, P., Knežević, G., & Stankov, L. (2015). Individual differences in cognitive biases: Evidence against one-factor theory of rationality. Intelligence, 50, 75-86. https://doi.org/10.1016/j.intell.2015.02.008
  • Toplak, M. E., West, R. F., & Stanovich, K. E. (2011). The cognitive reflection test as a predictor of performance on heuristics-and-biases tasks. Memory & Cognition, 39, 1275-1289. https://doi.org/10.3758/s13421-011-0104-1
  • Toplak, M. E., West, R. F., & Stanovich, K. E. (2014). Assessing miserly information processing: An expansion of the cognitive reflection test. Thinking and Reasoning, 20(2), 147-168. https://doi.org/10.1080/13546783.2013.844729
  • Vigil-Coletm A., Navarro-González, D., Morales-Vives, F. (2020). To reverse or to not reverse Likert-type items: That is the question. Psicothema, 32, 108-114. https://doi.org/10.7334/psicothema2019.286
  • Viswesvaran, C., Ones, D. S., & Schmidt, F. L. (1996). Comparative analysis of the reliability of job performance ratings. Journal of Applied Psychology, 81(5), 557. https://doi.org/10.1037/0021-9010.81.5.557
  • Walker, A. G. (2013). The relationship between the integration of faith and work with life and job outcomes. Journal of Business Ethics, 112, 453-461. https://doi.org/10.1007/s10551-012-1271-0
  • Welsh, M., Burns, N., & Delfabbro, P. (2013, July 31-August 3). The cognitive reflection test: How much more than numerical ability? [Conference session]. The 35th Annual meeting of the Cognitive Science Society, Berlin, Germany. https://cloudfront.escholarship.org/dist/prd/content/qt68n012fh/qt68n012fh.pdf
  • Wright, T. A., & Bonett, D. G. (2007). Job satisfaction and psychological well-being as nonadditive predictors of workplace turnover. Journal of Management, 33(2), 141-160. https://doi.org/10.1177/0149206306297582
  • Yılmaz, O., & Sarıbay, S. A. (2016). An attempt to clarify the link between cognitive style and political ideology: A non-western replication and extension. Judgment and Decision Making, 11(3), 287-300.
  • Yılmaz, O., & Sarıbay, S. A. (2017). The relationship between cognitive style and political orientation depends on the measures used. Judgment and Decision Making, 12(2), 140-147.