Pilot Testing and Preliminary Psychometric Validation of Situational Judgment Test of Resistance to Sunk Cost
Rahmat Hidayat(1*), Muhammad Dwirifqi Kharisma Putra(2)
(1) Faculty of Psychology, Universitas Gadjah Mada
(2) Faculty of Psychology, Universitas Gadjah Mada
(*) Corresponding Author
Abstract
Keywords
Full Text:
PDFReferences
Arkes, H. R., & Ayton, P. (1999). The sunk cost and concorde effects: are humans less rational than lower animals? Psychological Bulletin, 125(5), 591-600. https://doi.org/10.1037/0033-2909.125.5.591
Arkes, H. R., & Blumer, C. (1985). The psychology of sunk cost. Organizational Behavior and Human Decision Processes, 35(1), 124-140. https://doi.org/10.1016/0749-5978(85)90049-4
Cai, L., & Monroe, S. (2014). A new statistic for evaluating item response theory models for ordinal data (CRESST Report 839). University of California, National Center for Research on Evaluation, Standards, and Student Testing (CRESST). http://cresst.org/wp-content/uploads/R839.pdf Campion,
M. C., Ployhart, R. E., & MacKenzie, W. I. (2014). The state of research on situational judgment tests: a content analysis and directions for future research. Human Performance, 27(4), 283-310. https://doi.org/10.1080/08959285.2014.929693
Chalmers, R. P. (2012). mirt: a multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1-29. https://doi.org/10.18637/jss.v048.i06
Christensen, K. B., Makransky, G., & Horton, M. (2017). Critical values for Yen's Q3: Identification of local dependence in the Rasch model using residual correlations. Applied Psychological Measurement, 41(3), 178-194.
Coleman, M. D. (2010). Sunk cost and commitment to medical treatment. Current Psychology: A Journal for Diverse Perspectives on Diverse Psychological Issues, 29(2), 121-134. https://doi.org/10.1007/s12144-010-9077-7
Cook, K. F., Kallen, M. A., & Amtmann, D. (2009). Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption. Quality of Life Research, 18(4), 447–460. https://doi.org/10.1007/s11136-009-9464-4
Cunha, M., & Caldieraro, F. (2009). Sunk-cost effects on purely behavioral investments. Cognitive Science: A Multidisciplinary Journal, 33(1), 105-113. https://doi.org/10.1111/j.1551-6709.2008.01005.x
Davis, L. V., & Toseland, R. W. (1987). Group versus individual decision making. Social Work with Groups, 10(2), 95-110. https://doi.org/10.1300/J009v10n02_09
de Ayala, R. J. (2009). The theory and practice of item response theory. Guildford Press.
de Bruin, W. B., Parker, A. M., & Fischhoff, B. (2007). Individual differences in adult decision-making competence. Journal of Personality and Social Psychology, 9(5), 938-956. https://doi.org/10.1037/0022-3514.92.5.938
Dijkstra, K. A., & Hong, Y.-Y. (2019). The feeling of throwing good money after bad: the role of affective reaction in the sunk-cost fallacy. PLoS ONE, 14(1): e0209900. https://doi.org/10.1371/journal.pone.0209900
Fraley, C., Waller, N. G., & Brennan, K. A. (2000). An item response theory analysis of self-report measures of adult attachment. Journal of Personality and Social Psychology, 78(2), 350-365. https://doi.org/10.1037/0022-3514.78.2.350
Forero, C., & Maydeu-Olivares, A. (2009). Estimation of IRT graded response models: Limited versus full information methods. Psychological Methods, 14(3), 275–299. https://doi.org/10.1037/a0015825
Garland, H., & Newport, S. (1991). Effects of absolute and relative sunk costs on the decision to persist with a course of action. Organizational Behavior and Human Decision Processes, 48(1), 55-69. https://doi.org/10.1016/0749-5978(91)90005-E
Golubovich, J., Seybert, J., Martin-Raugh, M., Naemi, B., Vega, R. P., & Roberts, R. D. (2017). Assessing perceptions of interpersonal behavior with a video-based situational judgment test. International Journal of Testing, 17(3), 191-209. https://doi.org/10.1080/15305058.2016.1194275
Guenole, N., Chernyshenko, O. S., & Weekly, J. (2017). On designing construct driven situational judgement tests: some preliminary recommendations. International Journal of Testing, 17(3), 234-252. https://doi.org/10.1080/15305058.2017.1297817
Hafenbrack, A.C., Kinias, Z., & Barsade, S. G. (2014) Debiasing the mind through meditation: mindfulness and the sunk-cost bias. Psychological Science, 14(2), 369–376. https://doi.org/10.1177/0956797613503853
Haita-Falah, C. (2017). Sunk-cost fallacy and cognitive ability in individual decision-making. Journal of Economic Psychology, 58, 44-59. https://doi.org/10.1016/j.joep.2016.12.001 Heath, C. (1995). Escalation and de-escalation of commitment in response to sunk costs: the role of budgeting in mental accounting. Organizational behavior and human decision processes, 61(1), 38-54. https://doi.org/10.1006/obhd.1995.1029
Huggins-Manley, A. C. & Han, H. (2017). Assessing the sensitivity of weighted least squares model fit indexes to local dependence in item response theory models. Structural Equation Modeling: A Multidisciplinary Journal, 24(3), 331-340. https://doi.org/10.1080/10705511.2016.1247355
Jarmolowicz, D. P., Bickel, W. K., Sofis, M. J., Hatz, L. E., & Mueller, E. T. (2016). Sunk costs, psychological symptomology, and help seeking. SpringerPlus, 5: 1699. https://doi.org/10.1186/s40064-016-3402-z
Kamata, A., & Bauer, D. J. (2008). A note on the relation between factor analytic and item response theory models. Structural Equation Modeling: A Multidisciplinary Journal, 15(1), 136-153. https://doi.org/10.1080/10705510701758406
Kang, T., & Chen, T. T. (2008). Performance of the generalized S-X2 item fit index for polytomous IRT models. Journal of Educational Measurement, 45(4), 391-406. https://doi.org/10.1111/j.1745-3984.2008.00071.x
Keasey, K., & Moon, P. (2000). Sunk cost effects: a test of the importance of context. Economic Letters, 66(1), 55-58. https://doi.org/10.1016/S0165-1765(99)00179-2
Keefer, Q. A. W. (2017). The sunk-cost fallacy in the National Football League: salary cap value and playing time. Journal of Sport Economics, 18(3), 282-297. https://doi.org/10.1177/1527002515574515
Keefer, Q. A. W. (2019). Decision-maker beliefs and the sunk-cost fallacy: Major League Baseball’s final-offer salary arbitration and utilization. Journal of Economic Psychology, 75: 102080. https://doi.org/10.1016/j.joep.2018.06.002
Lievens, F. (2017). Construct-driven SJTs: toward an agenda for future research. International Journal of Testing, 17(3), 269-276. https://doi.org/10.1080/15305058.2017.1309857
Macaskill, A. C., & Hackenberg, T. D. (2012). The sunk effect with pigeons: Some determinants of decisions about persistence. Journal of the Experimental Analysis of Behavior, 97(1), 85–100. https://doi.org/10.1901/jeab.2012.97-85
Mair, P. (2018). Modern psychometrics with R. Springer International Publishing AG. https://doi.org/10.1007/978-3-319-93177-7
McCarthy, A. M., Schoorman, F. D., & Cooper, A. C. (1993). Reinvestment decisions by entrepreneurs: rational decision-making or escalation of commitment? Journal of Business Venturing, 8(1), 9-24.
McDaniel, M. A., & Nguyen, N. T. (2001). Situational judgement tests: a review of practice and constructs assessed. International Journal of Selection and Assessment, 9, 103-113.
Meyers, E.A., Walker, A.C., Fugelsang, J.A., & Koehler, D.J. (2020). Reducing the number of nonnaïve participants in mechanical turk samples. Methods in Psychology, Advanced Online Publication. https://doi.org/10.1016/j.metip.2020.100032.
Moon, H. (2001). Looking forward and looking back: integrating completion and sunk-cost effects within an escalation-of-commitment progress decision. Journal of Applied Psychology, 86(1), 104–113. https://doi.org/10.1037/0021-9010.86.1.104
Motowidlo, S. J., & Tippins, N. (1993). Further studies of the low-fidelity simulations in the form of a situational inventory. Journal of Occupational and Organizational Psychology, 66(4), 337-344. https://doi.org/10.1111/j.2044-8325.1993.tb00543.x
Motowidlo, S. J., Lievens, F., & Ghosh, K. (2018). Prosocial implicit trait policies underlie performance on different situational judgment tests with interpersonal content. Human Performance, 31(4), 238-254. https://doi.org/10.1080/08959285.2018.1523909
Olaru, G., Burrus, J., MacCann, C., Zaromb, F. M., Wilhelm, O., & Roberts, R. D. (2019). Situational judgment tests as a method for measuring personality: development and validity evidence for a test of dependability. PLoS ONE, 14(2): e0211884. https://doi.org/10.1371/journal.pone.0211884
Oostrom, J. K., de Vries, R. E., & de Wit, M. (2019). Development and validation of a HEXACO situational judgement test. Human Performance, 32(1), 1-29. https://doi.org/10.1080/08959285.2018.1539856
Payne, J., & Wood, A. (2002). Individual decision making and group decision processes. The Journal of Psychology and Financial Markets, 3(2), 94-101. https://doi.org/10.1207/S15327760JPFM0302_04
Pilkonis, P. A., Kim, Y., Yu, L., & Morse, J. Q. (2014). Adult Attachment Ratings (AAR): An item response theory analysis. Journal of Personality Assessment, 96(4), 417-425. https://doi.org/10.1080/00223891.2013.832261
Rasch, G. (1966). An item analysis which takes individual differences into account. British Journal of Mathematical and Statistical Psychology, 19(1), 49–57. https://doi.org/10.1111/j.2044-8317.1966.tb00354.x
Rosenbaum, D. I., & Lamort, F. (1992). Entry, barriers, exit, and sunk costs: An analysis. Applied Economics, 24(3), 297-304. https://doi.org/10.1080/00036849200000142
Roth, S., Robbert, T., & Straus, L. (2014). On the sunk-cost effect in economic decision-making: a meta-analytic review. Business Research, 8, 99-138. https://doi.org/10.1007/s40685-014-0014-8
Rover, S., Wuerges, A. F. E., Tomazzia, E. C., & Borba, J. A. (2009). Sunk cost effect: does theoretical knowledge affects students’ decision processes? Brazilian Business Review, 6(3), 232-248.
Samejima, F. (1969). Estimation of ability using a response pattern of graded scores (Psychometrika Monograph No. 17). Psychometric Corporation. https://doi.org/10.1007/BF03372160
Schmitt, N., & Chan, D. (2006). Situational judgement tests: Method or construct? In J. A. Weekley, & R. E. Ployhart (Eds.), Situational judgement tests: theory, measurement and application (pp. 135-155). Lawrence Erlbaum Associates. Soman, D., &
Cheema, A. (2001). The effect of windfall gains on the sunk-cost effect. Marketing Letters, 12, 51-62. https://doi.org/10.1023/A:1008120003813
Stemler, S. E., & Sternberg, R. J. (2006). Using situational judgment tests to measure practical intelligence. In J. A. Weekley & R. E. Ployhart (Eds.), Situational judgment tests: theory, measurement, and application (p. 107–131). Lawrence Erlbaum Associates Publishers.
Strough, J., Mehta, C. M., McFall, J. P., & Schuller, K. L. (2008). Are older adults less subject to the sunk-cost fallacy than younger adults? Psychological Science, 19(7), 650–652. https://doi.org/10.1111/j.1467-9280.2008.02138.x
Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior & Organization, 1(1), 39-60. https://doi.org/10.1016/0167-2681(80)90051-7
Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453-458. https://doi.org/10.1126/science.7455683
Wang, J., & Keil, M. (2007). A meta-analysis comparing the sunk cost effect for IT and non-IT projects. Information Resources Management Journal, 20(3), 1-18.
Wang, J. ,& Wang, X. (2019). Structural equation modeling: applications using mplus (2nd ed.), John Wiley & Sons Ltd. https://doi.org/10.1002/9781119422730
Whitely, S. E., & Dawis, R. V. (1974). The nature objectivity with the Rasch model. Journal of Educational Measurement, 11(3), 163-178. https://doi.org/10.1111/j.1745-3984.1974.tb00988.x
Wirth, R. J., & Edwards, M. C. (2007). Item factor analysis: current approaches and future directions. Psychological Methods, 12(1), 58-79. https://doi.org/10.1037/1082-989X.12.1.58.
Yáñez, N., Bouzas, A., & Orduña, V. (2017). Rats behave optimally in a sunk cost task. Behavioural Processes, 140, 47–52. https://doi.org/10.1016/j.beproc.2017.04.003
Yen, W. M. (1984). Effects of local item dependence on the fit and equating performance of the three-parameter logistic model. Applied Psychological Measurement, 8(2), 125-145. https://doi.org/10.1177/014662168400800201
Zeelenberg, M., & van Dijk, E. (1997). A reverse sunk cost effect in risky decision making: Sometimes we have too much invested to gamble. Journal of Economic Psychology, 18(6), 677-691. https://doi.org/10.1016/S0167-4870(97)00029-9 Zeng,
J., Zhang, Q., Chen, C., Yu, R., & Gong, Q. (2013). An fMRI study on sunk cost effect. Brain Research, 1519, 63-70. https://doi.org/10.1016/j.brainres.2013.05.001
Zultan, R., Bar-Hillel, M., & Guy, N. (2010). When being wasteful appears better than feeling wasteful. Judgment and Decision Making, 5(7), 489–496.
DOI: https://doi.org/10.22146/jpsi.73737
Article Metrics
Abstract views : 2297 | views : 1791Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Jurnal Psikologi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Published by Faculty of Psychology Universitas Gadjah Mada, Indonesia Building D-6th Floor No. D-606. Jl. Sosio Humaniora No. 1, Bulaksumur Yogyakarta, 55281 Email: jurnalpsikologi@ugm.ac.id Phone/whatsApp: +6289527548628 |