The Origin of Illusory Correlations
Biased Judgments Converge With Inferences, Not With Biased Memory
Abstract
Abstract. If the distributions of two binary variables are skewed, people erroneously perceive a correlation even if the variables are actually uncorrelated. Specifically, people perceive a correlation between the variables’ infrequent (vs. frequent) levels. While such systematic Illusory Correlations (ICs) can account for important phenomena, including erroneous stereotypes linking minority groups with infrequent attributes, the theoretical explanation is still a matter of debate. As proposed in the distinctiveness-based account, ICs arise due to a memory advantage for infrequent events. Alternatively, it has been proposed that ICs reflect ad hoc inferences from univariate base rates. In two experiments, we tested the accounts’ predictions using a standard IC paradigm followed by (1) a contingency judgment task, asking participants to directly report contingencies, and (2) a trial-by-trial source assignment task of group membership and attribute. Bayesian-hierarchical model analysis revealed that ICs in contingency judgments were positively correlated to ad hoc inferences, but uncorrelated to exemplar memory in participants’ source assignments. Moreover, inducing a focus on infrequent events improved memory for distinct events, but did not result in stronger ICs. Thus, our results support the explanation of ICs as ad hoc inferences from base rates, rather than a memory advantage for distinctive item combinations.
References
1993). Human contingency judgments: Rule based or associative? Psychological Bulletin, 114, 435–448. https://doi.org/10.1037/0033-2909.114.3.435
(2013). Hierarchical modeling of contingency-based source monitoring: A test of the probability-matching account. Psychonomic Bulletin & Review, 20, 326–333. https://doi.org/10.3758/s13423-012-0342-7
(1990). Multinomial processing models of source monitoring. Psychological Review, 97, 548–564. https://doi.org/10.1037/0033-295X.97.4.548
(1996). Source discrimination, item detection, and multinomial models of source monitoring. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 197–215. https://doi.org/10.1037/0278-7393.22.1.197
(2006). Illusory correlation and cognitive processes: A multinomial model of source-monitoring. Review of Psychology, 13, 95–102.
(1967). Illusory correlation in observational report. Journal of Verbal Learning and Verbal Behavior, 6, 151–155. https://doi.org/10.1016/S0022-5371(67)80066-5
(2011). Illusory correlations revisited: The role of pseudocontingencies and working-memory capacity. The Quarterly Journal of Experimental Psychology, 64, 517–532. https://doi.org/10.1080/17470218.2010.509917
(2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191. https://doi.org/10.3758/BF03193146
(1991). The tricky nature of skewed frequency tables: An information loss account of distinctiveness-based illusory correlations. Journal of Personality and Social Psychology, 60, 24–36. https://doi.org/10.1037/0022-3514.60.1.24
(2004). Pseudocontingencies. Journal of Personality and Social Psychology, 87, 453–467. https://doi.org/10.1037/0022-3514.87.4.453
(2009). Pseudocontingencies: An integrative account of an intriguing cognitive illusion. Psychological Review, 116, 187–206. https://doi.org/10.1037/a0014480
(2013). Pseudocontingencies: Logically unwarranted but smart inferences. Current Directions in Psychological Science, 22, 324–329. https://doi.org/10.1177/0963721413480171
(1985). The formation of stereotypic beliefs: Further evidence for distinctiveness-based illusory correlations. Journal of Personality and Social Psychology, 48, 5–17. https://doi.org/10.1037/0022-3514.48.1.5
(1976). Illusory correlation in interpersonal perception: A cognitive basis of stereotypic judgments. Journal of Experimental Social Psychology, 12, 392–407. https://doi.org/10.1016/S0022-1031(76)80006-6
(2006). Beck Depressions-Inventar (BDI-II)
([Beck Depression Inventory (BDI-II)] . Frankfurt, Germany: Harcourt Test Services.2018). TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behavior Research Methods, 50, 264–284. https://doi.org/10.3758/s13428-017-0869-7
(1994). The statistical analysis of general processing tree models with the EM algorithm. Psychometrika, 59, 21–47. https://doi.org/10.1007/BF02294263
(1965). Judgment of contingency between responses and outcomes. Psychological Monographs: General and Applied, 79, 1–17. https://doi.org/10.1037/h0093874
(1994). Evidence for the accessibility of paired distinctiveness in distinctiveness-based illusory correlation in stereotyping. Personality and Social Psychology Bulletin, 20, 65–70. https://doi.org/10.1177/0146167294201006
(2008). When positive and negative expectancies disrupt performance: Regulatory focus as a catalyst. European Journal of Social Psychology, 38, 187–212. https://doi.org/10.1002/ejsp.452
(2010). Hierarchical multinomial processing tree models: A latent-trait approach. Psychometrika, 75, 70–98. https://doi.org/10.1007/S11336-009-9141-0
(2000). A source-monitoring analysis of illusory correlations. Personality and Social Psychology Bulletin, 26, 1074–1093. https://doi.org/10.1177/01461672002611005
(2011). A robust classic: Illusory correlations are maintained under extended operant learning. Experimental Psychology, 58, 443–453. https://doi.org/10.1027/1618-3169/a000112
(1993). Illusory correlation as accentuation of actual intercategory difference: Evidence for the effect with minimal stimulus information. European Journal of Social Psychology, 23, 391–410. https://doi.org/10.1002/ejsp.2420230406
(2003). Effects of processing strategy on episodic memory and contingency learning in group stereotype formation. Social Cognition, 21, 121–156. https://doi.org/10.1521/soco.21.2.121.21318
(2004). Cognitive processes in stereotype formation: The role of correct contingency learning for biased group judgments. Journal of Personality and Social Psychology, 87, 599–614. https://doi.org/10.1037/0022-3514.87.5.599
(2010). Contingency learning and stereotype formation: Illusory and spurious correlations revisited. European Review of Social Psychology, 21, 285–331. https://doi.org/10.1080/10463283.2010.543308
(1990). Distinctiveness-based illusory correlations and stereotyping: A meta-analytic integration. British Journal of Social Psychology, 29, 11–28. https://doi.org/10.1111/j.2044-8309.1990.tb00883.x
(2000). Are affective events richly recollected or simply familiar? The experience and process of recognizing feelings past. Journal of Experimental Psychology: General, 129, 242–261. https://doi.org/10.1037/0096-3445.129.2.242
(1990). Positive-negative asymmetry in evaluations: The distinction between affective and informational negativity effects. European Review of Social Psychology, 1, 33–60. https://doi.org/10.1080/14792779108401856
(1981).
(Memory processes and social beliefs . In D. L. HamiltonEd., Cognitive processes in stereotyping and intergroup behavior (pp. 145–181). Hillsdale, NJ: Erlbaum.2012). The attraction of social power: The influence of construing power as opportunity versus responsibility. Journal of Experimental Social Psychology, 48, 550–555. https://doi.org/10.1016/j.jesp.2011.11.008
(1953). The problem of “what is learned?”. Psychological Review, 60, 157–158. https://doi.org/10.1037/h0057364
(2017). Pseudocontingencies in consumer choice: Preference for prevalent product categories decreases with decreasing set quality. Journal of Behavioral Decision Making, 30, 1193–1205. https://doi.org/10.1002/bdm.2034
(2013). How majority members become associated with rare attributes: Ecological correlations in stereotype formation. Social Cognition, 31, 427–442. https://doi.org/10.1521/soco_2012_1002
(2014). Inferring correlations: From exemplars to categories. Psychonomic Bulletin & Review, 21, 1316–1322. https://doi.org/10.3758/s13423-014-0586-5
(