Development of Affective and Cognitive Decision Making Inventory in Indian Work Setting
Keywords:
Affective Decision Making, Cognitive Decision Making, , Inventory, Indian Work SettingAbstract
Objective/Aim: The purpose of this study was to construct a decision making inventory to assess the level of decisional ability at work and to validate its psychometric properties respectively. The inventory was designed to measure two core indices i.e. Cognitive, which foresee the logical aspects of decision making and Affective, which foresee the emotional aspects of decision making at workplace. Method: Purposive sampling was used to gather data. For standardization of the items the scale was distributed amongst eminent scholars and OB practitioners. 504 working professionals completed the ACDMI. Result: Face validity, Content Validity and Construct Validity were found to be significant. ACDMI had good internal consistency. Conclusion: ACDMI is a 5 - point likert scale which consists of 28 items, 15 items in cognitive index and 13 items in affective index with positive and reversed scoring.
References
Bavol’ár, J., & Orosová, O. (2015). Decision-making styles and their associations with decision-making competencies and mental health. Judgment and Decision Making, 10(1), 115–122.
Beresford, B., & Sloper, T. (2008). Understanding the Dynamics of Decision-Making and Choice: A Scoping Study of Key Psychological Theories to Inform The Design and Analysis of the Panel Study. Social Policy Research Unit.
Blanchette, I., & Richards, A. (2009). The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning. Cognition and Emotion, 24(4), 561–595. https://doi.org/10.1080/02699930903132496
Bordley, R. F. (2001). Naturalistic decision making and prescriptive decision theory. Journal of Behavioral Decision Making, 14(5), 355–357. https://doi.org/10.1002/BDM.383
Bruch, E., & Feinberg, F. (2017). Decision-Making Processes in Social Contexts. Annual Review of Sociology, 43, 207. https://doi.org/10.1146/ANNUREV-SOC-060116-053622
Cannon-Bowers, J. A., Salas, E., & Pruitt, J. S. (1996). Establishing the boundaries of a paradigm for decision-making research. Human Factors, 38(2), 193–205. https://doi.org/10.1518/001872096779048066
Chaiken, S., & Trope, Y. (Eds.). (1999). Dual-Process Theories in Social Psychology (1st ed.). Guilford Press.
Edward, W. (1961). Behavioral Decision Theory. Annual Review of Psychology, 12, 473–498. https://doi.org/10.1146/ANNUREV.PS.12.020161.002353
Edwards, W. (1954). The theory of decision making. Psychological Bulletin, 51(4), 380–417. https://doi.org/10.1037/H0053870
Epstein, S. (1994). Integration of the cognitive and the psychodynamic unconscious. The American Psychologist, 49(8), 709–724. https://doi.org/10.1037//0003-066X.49.8.709
Fischhoff, B., & Broomell, S. B. (2020). Judgment and Decision Making. Annual Review of Psychology, 71, 331–355. https://doi.org/10.1146/ANNUREV-PSYCH-010419-050747
George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference 11.0 update (4th ed.). Boston: Allyn & Bacon
Gehani, R. R. (2002). Chester Barnard’s “executive” and the knowledgebased firm. Management Decision, 40(10), 980–991. https://doi.org/10.1108/00251740210452845/FULL/PDF
Gomez, R., Brown, T., Watson, S., & Stavropoulos, V. (2022). Confirmatory factor analysis and exploratory structural equation modeling of the factor structure of the Questionnaire of Cognitive and Affective Empathy (QCAE). PLoS ONE, 17(2). https://doi.org/10.1371/JOURNAL.PONE.0261914
Gosling, C. J., Caparos, S., & Moutier, S. (2020). The interplay between the importance of a decision and emotion in decision-making. Cognition and Emotion, 34(6), 1260–1270. https://doi.org/10.1080/02699931.2020.1741340
Grecucci, A., Giorgetta, C., Lorandini, S., Sanfey, A. G., & Bonini, N. (2020). Changing decisions by changing emotions: Behavioral and physiological evidence of two emotion regulation strategies. Journal of Neuroscience, Psychology, and Economics, 13(3), 178–189. https://doi.org/10.1037/NPE0000130
Kahneman, D. (2003). Maps of Bounded Rationality: Psychology for Behavioral Economics. American Economic Review, 93(5), 1449–1475. https://doi.org/10.1257/000282803322655392
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Ecnometrica, 47(2), 263–292. https://doi.org/10.2307/1914185
Landis, J. R., & Koch, G. G. (1977). A one-way components of variance model for categorical data. Biometrics, 671-679.
Lee, D. (2013). Decision Making: from Neuroscience to Psychiatry. Neuron, 78(2), 233. https://doi.org/10.1016/J.NEURON.2013.04.008
Lochner, K. (2016). Affect and Cognition. In K. Lochner (Ed.), Successful Emotions: How Emotions Drive Cognitive Performance (1st ed., Vol. 1, pp. 69–123). Springer Wiesbaden.
March G., J., & Simon Alexander, H. (1958). Organizations (Vol. 1). Wiley.
Mellers, B. A., Schwartz, A., & Cooke, A. D. J. (1998). Judgment and decision making. Annual Review of Psychology, 49, 447–477. https://doi.org/10.1146/ANNUREV.PSYCH.49.1.447
Meredith, S., & Francis, D. (2000). Journey towards agility: The agile wheel explored. TQM Magazine, 12(2), 137–143. https://doi.org/10.1108/09544780010318398
Nisbett, R. E., & Ross, L. (1980). Human inference: strategies and shortcomings of social judgment (1st ed., Vol. 1). Prentice Hall.
Patel, V. L., Kaufman, D. R., & Arocha, J. F. (2002). Emerging paradigms of cognition in medical decision-making. Journal of Biomedical Informatics, 35(1), 52–75. https://doi.org/10.1016/S1532-0464(02)00009-6
Plessner, H., Betsch, C., & Betsch, T. (2007). Intuition: In judgment and decision making. In H. Plessner, C. Betsch, & T. Betsch (Eds.), Intuition: In Judgment and Decision Making (1st ed., Vol. 1). Psychology Press. https://doi.org/10.4324/9780203838099
Rattray, J., Ed RGN, C., Jones, M. C., Psychol, C., Dip Ed, R., Nbs, D., & E S M C, J. N. (2007). Essential elements of questionnaire design and development. Journal of Clinical Nursing, 16(2), 234–243. https://doi.org/10.1111/J.1365-2702.2006.01573.X
Sanfey, A. G., Loewenstein, G., McClure, S. M., & Cohen, J. D. (2006). Neuroeconomics: cross-currents in research on decision-making. Trends in Cognitive Sciences, 10(3), 108–116. https://doi.org/10.1016/J.TICS.2006.01.009
Sauter, V. L. (1999). Intuitive decision-making. Communications of the ACM, 42(6), 109–115. https://doi.org/10.1145/303849.303869
Scherbaum, S., Lade, S. J., Siegmund, S., Goschke, T., & Dshemuchadse, M. (2022). From single decisions to sequential choice patterns: Extending the dynamics of value-based decision-making. PloS One, 17(4). https://doi.org/10.1371/JOURNAL.PONE.0267249
Tetlock, P. E. (1990). Some Thoughts on Fourth-Generational Models of Social Cognition. Psychological Enquiry, 1(3), 212–214. https://doi.org/10.1207/S15327965PLI0103_9
Trafton, A. (2019, May 16). How we make complex decisions. Massachusetts Institute of Technology, News.
Turpin, S., & Marais, M. (2004). Decision-making: Theory and practice. ORiON, 20(2). https://doi.org/10.5784/20-2-12
Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124–1131. https://doi.org/10.1126/SCIENCE.185.4157.1124
Zsambok, C. E., & Klein Gary. (1997). Naturalistic Decision Making (C. E. Zsambok & G. Klein (Eds.); 1st ed., Vol. 1). Psychology Press. https://doi.org/10.4324/9781315806129
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Indian Journal of Clinical Psychology
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.