Falsifying the Insufficient Adjustment Model: No Evidence for Unidirectional Adjustment From Anchors
DOI:
https://doi.org/10.15626/MP.2024.4137Keywords:
anchoring, TOTE, time pressure, two-alternative forced-choice, insufficient adjustmentAbstract
After considering a more or less random number (i.e., an anchor), people’s subsequent estimates are biased toward that number. Such anchoring phenomena have been explained via an adjustment process that ends too early. We present a formalized version of the insufficient adjustment model, which captures the idea that decreasing the time that people have to adjust from anchors draws their estimates closer to the anchors. In four independent studies (N = 898), we could not confirm this effect of time on anchoring. Moreover, anchoring effects vanished in the two studies that deviated from classical paradigms by using a visual scale or a two-alternative forced-choice paradigm to allow faster responses. Although we propose that the current version of the insufficient adjustment model should be discarded, we believe that adjustment models hold the most potential for the future of anchoring research, and we make suggestions for what these might look like.
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References
Ariely, D., Loewenstein, G., & Prelec, D. (2003). "coherent arbitrariness": Stable demand curves without stable preferences. The Quarterly Journal of Economics, 118(1), 73–106. https://doi.org/10.1162/00335530360535153
Arnold, A. T., & Evans, B. (2021). Bsda: Basic statistics and data analysis (r package version 1.2.1) [computer software].
Bahník, Š. (2021). Anchoring does not activate examples associated with the anchor value. Advance online publication. https://doi.org/10.31234/osf.io/4j5wb
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1). https://doi.org/10.18637/jss.v067.i01
Ben-Shachar, M., Lüdecke, D., & Makowski, D. (2020). Effectsize: Estimation of effect size indices and standardized parameters. Journal of Open Source Software, 5(56), 2815. https://doi.org/10.21105/joss.02815
Bergman, O., Ellingsen, T., Johannesson, M., & Svensson, C. (2010). Anchoring and cognitive ability. Economics Letters, 107(1), 66–68. https://doi.org/10.1016/j.econlet.2009.12.028
Bless, H., & Schwarz, N. (2010). Mental construal and the emergence of assimilation and contrast effects. In Advances in experimental social psychology (pp. 319–373, Vol. 42). https://doi.org/10.1016/s0065-2601(10)42006-7
Bogacz, R., Brown, E., Moehlis, J., Holmes, P., & Cohen, J. D. (2006). The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review, 113(4), 700–765. https://doi.org/10.1037/0033-295X.113.4.700
Bonaccio, S., & Dalal, R. S. (2006). Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences. Organizational Behavior and Human Decision Processes, 101(2), 127–151. https://doi.org/10.1016/j.obhdp.2006.07.001
Brodeur, A., Cook, N. M., Hartley, J. S., & Heyes, A. (2024). Do preregistration and preanalysis plans reduce p-hacking and publication bias? evidence from 15,992 test statistics and suggestions for improvement. Journal of Political Economy Microeconomics, 2(3), 527–561.
Bystranowski, P., Janik, B., Próchnicki, M., & Skórska, P. (2021). Anchoring effect in legal decisionmaking: A meta-analysis. Law and Human Behavior, 45(1), 1–23. https://doi.org/10.1037/lhb0000438
Champely, S. (2020). Pwr: Basic functions for power analysis. r package version 1.3-0 [computer software].
Chaxel, A.-S. (2014). The impact of procedural priming of selective accessibility on self-generated and experimenter-provided anchors. Journal of Experimental Social Psychology, 50, 45–51. https://doi.org/10.1016/j.jesp.2013.09.005
Claesen, A., Gomes, S. L. B. T., Tuerlinckx, F., & Vanpaemel, W. (2021). Comparing dream to reality: An assessment of adherence of the first generation of preregistered studies. Royal Society Open Science, 8, 211037. https://doi.org/10.1098/rsos.211037
Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgement. Journal of Abnormal Psychology, 51(3), 629–636. https://doi.org/10.1037/h0046408
Eisenberger, N. I., Lieberman, M. D., & Satpute, A. B. (2005). Personality from a controlled processing perspective: An fmri study of neuroticism, extraversion, and self-consciousness. Cognitive, Affective Behavioral Neuroscience, 5(2), 169–181. https://doi.org/10.3758/CABN.5.2.169
Englich, B., Mussweiler, T., & Strack, F. (2006). Playing dice with criminal sentences: The influence of irrelevant anchors on experts’ judicial decision making. Personality Social Psychology Bulletin, 32(2), 188–200. https://doi.org/10.1177/0146167205282152
Epley, N., & Gilovich, T. (2001). Putting adjustment back in the anchoring and adjustment heuristic: Differential processing of self-generated and experimenter-provided anchors. Psychological Science, 12(5), 391–396. https://doi.org/10.1111/1467-9280.00372
Epley, N., & Gilovich, T. (2004). Are adjustments insufficient? Personality Social Psychology Bulletin, 30(4), 447–460. https://doi.org/10.1177/0146167203261889
Epley, N., & Gilovich, T. (2005). When effortful thinking influences judgmental anchoring: Differential effects of forewarning and incentives on self-generated and externally provided anchors. Journal of Behavioral Decision Making, 18(3), 199–212. https://doi.org/10.1002/bdm.495
Epley, N., & Gilovich, T. (2006). The anchoring-andadjustment heuristic: Why the adjustments are insufficient. Psychological Science, 17(4), 311–318. https://doi.org/10.1111/j.1467-9280.2006.01704.x
Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251. https://doi.org/10.1037/0033-295X.87.3.215
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences [http://www.gpower.hhu.de/fileadmin/redaktion/Fakultaeten/Mathematisch-Naturwissenschaftliche _Fakultaet/Psychologie/AAP/gpower/GPower3-BRM - Paper. pdf]. Behavior Research Methods, 39(2), 175–191.
Fletcher, T. D. (2022). Psychometric: Applied psychometric theory (r package version 2.3) [computer software].
Fox, J., & Weisberg, S. (n.d.). An r companion to applied regression (3rd edition) [https://socialsciences.mcmaster.ca/jfox/Books/Companion/index.html].
Frech, M.-L., Loschelder, D. D., & Friese, M. (2019). How and why different forms of expertise moderate anchor precision in price decisions. Experimental Psychology, 66(2), 165–175. https://doi.org/10.1027/1618-3169/a000441
Frech, M.-L., Loschelder, D. D., & Friese, M. (2020). How attribution-of-competence and scalegranularity explain the anchor precision effect in negotiations and estimations. Social Cognition, 38(1), 40–61. https://doi.org/10.1521/soco.2020.38.1.40
Frederick, S. W., Kahneman, D., & Mochon, D. (2010). Elaborating a simpler theory of anchoring. Journal of Consumer Psychology, 20(1), 17–19. https://doi.org/10.1016/j.jcps.2009.12.004
Frederick, S. W., & Mochon, D. (2012). A scale distortion theory of anchoring. Journal of Experimental Psychology. General, 141(1), 124–133. https://doi.org/10.1037/a0024006
Gagolewski, M. (2022). Stringi: Fast and portable character string processing in r. Journal of Statistical Software, 103(2). https://doi.org/10.18637/jss.v103.i02
Green, P., & MacLeod, C. J. (2016). Simr : An r package for power analysis of generalized linear mixed models by simulation. Methods in Ecology and Evolution, 7(4), 493–498. https://doi.org/10.1111/2041-210X.12504
Gryz, J., & Krauze, D. (2008). Mortality of vertebrates on a road crossing the biebrza valley (ne poland). European Journal of Wildlife Research, 54(4), 709–714. https://doi.org/10.1007/s10344-008-0200-0
Harrel, F. E. (2020). Hmisc: Harrell miscellaneous. r package version 4.4-0 [computer software].
Harris, A. J. L., Blower, F. B. N., Rodgers, S. A., Lagator, S., Page, E., Burton, A., Urlichich, D., & Speekenbrink, M. (2019). Failures to replicate a key result of the selective accessibility theory of anchoring [Advance online publication]. Journal of Experimental Psychology. General. https://doi.org/10.1037/xge0000644
Helson, H. (1948). Adaptation-level as a basis for a quantitative theory of frames of reference. Psychological Review, 55(6), 297–313. https://doi.org/10.1037/h0056721
Højsgaard, S., & Halekoh, U. (2018). Doby: Groupwise statistics, lsmeans, linear contrasts, [computer software].
Jacowitz, K. E., & Kahneman, D. (1995). Measures of anchoring in estimation tasks. Personality and Social Psychology Bulletin, 21(11), 1161–1166. https://doi.org/10.1177/01461672952111004
Kassambara, A. (2020). Ggpubr: ’ggplot2’ based publication ready plots. r package version 0.4.0 [computer software]. Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). Lmertest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13). https://doi.org/10.18637/jss.v082.i13
Kvarven, A., Strømland, E., & Johannesson, M. (2020). Comparing meta-analyses and preregistered multiple-laboratory replication projects. Nature Human Behaviour, 4(4), 423–434. https://doi.org/10.1038/s41562-019-0787-z
Lammers, J., & Burgmer, P. (2017). Power increases anchoring effects on judgment. Social Cognition, 35(1), 40–53. https://doi.org/10.1521/soco.2017.35.1.40
Lee, C.-Y., & Morewedge, C. K. (2021). Noise increases anchoring effects [9567976211024254]. Psychological Science. https://doi.org/10.1177/09567976211024254
Leiner, D. J. (2019). Sosci survey (version 3.1.06) [computer software].
Li, L., Maniadis, Z., & Sedikides, C. (2021). Anchoring in economics: A meta-analysis of studies on willingness-to-pay and willingness-toaccept. Journal of Behavioral and Experimental Economics, 90, 101629. https://doi.org/10.1016/j.socec.2020.101629
Lieder, F., Griffiths, T. L., M Huys, Q. J., & Goodman, N. D. (2018a). The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin Review, 25(1), 322–349. https://doi.org/10.3758/s13423-017-1286-8
Lieder, F., Griffiths, T. L., M Huys, Q. J., & Goodman, N. D. (2018b). Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin Review, 25(2), 775–784. https://doi.org/10.3758/s13423-017-1288-6
Long, J. A. (2020). Jtools: Analysis and presentation of social scientific data. r package version 2.1.0 [computer software].
Lüdecke, D. (2018a). Esc: Effect size computation for meta analysis [Advance online publication]. https://doi.org/10.5281/zenodo.1249218
Lüdecke, D. (2018b). Sjstats: Statistical functions for regression models (version 0.18.2) [computer software].
Miller, G. A., Galanter, E., & Pribram, K. H. (1986). Plans and the structure of behavior. Adams-Bannister-Cox.
Mochon, D., & Frederick, S. (2013). Anchoring in sequential judgments. Organizational Behavior and Human Decision Processes, 122(1), 69–79. https://doi.org/10.1016/j.obhdp.2013.04.002
Mussweiler, T., & Strack, F. (1999a). Comparing is believing: A selective accessibility model of judgemental anchoring. European Review of Social Psychology, 10(1), 135–167. https://doi.org/10.1080/14792779943000044
Mussweiler, T., & Strack, F. (1999b). Hypothesisconsistent testing and semantic priming in the anchoring paradigm: A selective accessibility model. Journal of Experimental Social Psychology, 35, 136–164. https://doi.org/10.1037/e413782005-562
Navarro, D. J. (2015). Learning statistics with r: A tutorial for psychology students and other beginners (Version 0.6). University of New South Wales. Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220. https://doi.org/10.1037/1089-2680.2.2.175
Northcraft, G. B., & Neale, M. A. (1987). Experts, amateurs, and real estate: An anchoring-andadjustment perspective on property pricing decisions. Organizational Behavior and Human Decision Processes, 39, 84–97.
Orr, D., & Guthrie, C. (2006). Anchoring, information, expertise, and negotiation: New insights from meta-analysis. Ohio State Journal on Dispute Resolution, 21(3), 597–628.
Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. K. (2019). Psychopy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y
Rader, C. A., Larrick, R. P., & Soll, J. B. (2017). Advice as a form of social influence: Informational motives and the consequences for accuracy. Social and Personality Psychology Compass, 11(8), e12329. https://doi.org/10.1111/spc3.12329
Rader, C. A., Soll, J. B., & Larrick, R. P. (2015). Pushing away from representative advice: Advice taking, anchoring, and adjustment. Organizational Behavior and Human Decision Processes, 130, 26–43. https://doi.org/10.1016/j.obhdp.2015.05.004
Reitsma-van Rooijen, M., & Daamen, D. D. L. (2006). Subliminal anchoring: The effects of subliminally presented numbers on probability estimates. Journal of Experimental Social Psychology, 42(3), 380–387. https://doi.org/10.1016/j.jesp.2005.05.001
Revelle, W. (2018). Psych: Procedures for personality and psychological research, version = 1.8.3 [computer software].
Röseler, L. (2021). Anchoring effects: Resolving the contradictions of personality moderator research [Doctoral dissertation, University of Bamberg] [https://osf.io/34sv6, https://doi.org/10.20378/irb-49951].
Röseler, L., Bögler, H. L., Koßmann, L., Krueger, S., Bickenbach, S., Bühler, R., Della Guardia, J., Köppel, L.-M., Ponader, S., Roßmaier, K., & Sing, J. (2022). Replicating epley and gilovich: Need for cognition, cognitive load, and forewarning do not moderate anchoring effects. Advance online publication. https://doi.org/10.31234/osf.io/bgp3m
Röseler, L., & Schütz, A. (2022). Hanging the anchor off a new ship: A meta-analysis of anchoring effects. Advance online publication. https://doi.org/10.31234/osf.io/wf2tn
Röseler, L., Schütz, A., Blank, P. A., Dück, M., Fels, S., Kupfer, J., Scheelje, L., & Seida, C. (2021). Evidence against subliminal anchoring: Two close, highly powered, preregistered, and failed replication attempts. Journal of Experimental Social Psychology, 92, 104066. https://doi.org/10.1016/j.jesp.2020.104066
Röseler, L., Schütz, A., Dolling, I. K., Friedinger, K.,Hösch, Y., Hügel, J. C., Igna, E., Karg, A., Kühling, S., Schäffer, D., Zhou, A., & Röseler, J. J. (2020). The stepwise anchoring paradigm: Measuring reliable components of anchoring and adjustment as the next step in moderator research. Advance online publication. https://doi.org/10.31234/osf.io/hjbwp
Röseler, L., Weber, L., Stich, E., Helgerth, K., Günther, M., Wagner, F.-S., & Schütz, A. (2022). Measurements of susceptibility to anchoring are unreliable: Meta-analytic evidence from more than 50,000 anchored estimates [https://doi.org/10.31234/osf.io/b6t35].
Schauberger, P., & Walker, A. (2021). Openxlsx: Read, write and edit xlsx files (version r package version 4.2.5) [computer software].
Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the life orientation test. Journal of Personality and Social Psychology, 67(6), 1063–1078. https://doi.org/10.1037/0022-3514.67.6.1063
Schultze, T., & Loschelder, D. D. (2020). How numeric advice precision affects advice taking [Advance online publication]. Journal of Behavioral Decision Making. https://doi.org/10.1002/bdm.2211
Schwarz, N., & Bless, H. (1992). Constructing reality and its alternatives: An inclusion/ exclusion model of assimilation and contrast effects in social judgement [http://nbn-resolving.de/urn:nbn:de:0168- ssoar-68883]. In L. L. Martin & A. Tesser (Eds.), The construction of social judgments. Lawrence Erlbaum Associates.
Shanks, D. R., Barbieri-Hermitte, P., & Vadillo, M. A. (2020). Do incidental environmental anchors bias consumers’ price estimations?Collabra: Psychology, 6(1), 19. https://doi.org/10.1525/collabra.310
Simmons, J. P., LeBoeuf, R. A., & Nelson, L. D. (2010). The effect of accuracy motivation on anchoring and adjustment: Do people adjust from provided anchors? Journal of Personality and Social Psychology, 99(6), 917–932. https://doi.org/10.1037/a0021540
Song, A., Faugeras, O., & Veltz, R. (2019). A neural field model for color perception unifying assimilation and contrast. PLoS Computational Biology, 15(6), e1007050. https://doi.org/10.1371/journal.pcbi.1007050
Spicer, J., Zhu, J.-Q., Chater, N., & Sanborn, A. N. (2022). Perceptual and cognitive judgments show both anchoring and repulsion. Psychological Science, 33(9), 1395–1407. https://doi.org/10.1177/09567976221089599
Sweeny, T. D., Grabowecky, M., & Suzuki, S. (2011). Simultaneous shape repulsion and global assimilation in the perception of aspect ratio. Journal of Vision, 11(1), 16. https://doi.org/10.1167/11.1.16
Team, R. C. (2018). R [computer software] [https :// www.R-project.org/]. R Foundation for Statistical Computing.
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science (New York, N.Y.), 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
Viechtbauer, W. (2010). Conducting meta-analyses in r with the metafor package. Journal of Statistical Software, 36(3). https://doi.org/10.18637/jss.v036.i03
Wickham, H. (2016). Ggplot2: Elegant graphics for data analysis (Second edition). Springer.
Wickham, H., Averick, M., Bryan, J., Chang, W., Mc-Gowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T., Miller, E., Bache, S., Müller, K., Ooms, J., Robinson, D., Seidel, D., Spinu, V., & Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
Wickham, H., Francois, R., Henry, L., & Müller, K. (2018). Dplyr: A grammar of data manipulation. r package version 0.7.6 [computer software].
Wickham, H., & Girlich, M. (2022). Tidyr: Tidy messy data. r package version 1.2.0 [computer software].
Yaniv, I., & Kleinberger, E. (2000). Advice taking in decision making: Egocentric discounting and reputation formation. Organizational Behavior and Human Decision Processes, 83(2), 260–281. https://doi.org/10.1006/obhd.2000.2909
Yik, M., Wong, K. F. E., & Zeng, K. J. (2019). Anchoring and adjustment during affect inferences. Frontiers in Psychology, 9, 2567. https://doi.org/10.3389/fpsyg.2018.02567
Zhang, Z., & Mai, Y. (2022). Webpower: Basic and advanced statistical power analysis (r package version 0.7) [computer software].
Zong, Y., & Guo, X. (2022). An experimental study on anchoring effect of consumers’ price judgment based on consumers’ experiencing scenes. Frontiers in Psychology, 13, 794135. https://doi.org/10.3389/fpsyg.2022.794135
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