Cognitive Processes Underlying the Weapon Identification Task: A Comparison of Models Accounting for Both Response Frequencies and Response Times
Published Online:April 2023https://doi.org/10.1521/soco.2023.41.2.137
Abstract
The weapon identification task (WIT) is a sequential priming paradigm designed to assess effects of racial priming on visual discrimination between weapons (guns) and innocuous objects (tools). We compare four process models that differ in their assumptions on the nature and interplay of cognitive processes underlying prime-related weapon-bias effects in the WIT. All four models are variants of the process dissociation procedure, a widely used measurement model to disentangle effects of controlled and automatic processes. We formalized these models as response time-extended multinomial processing tree models and applied them to eight data sets. Overall, the default interventionist model (DIM) and the preemptive conflict-resolution model (PCRM) provided good model fit. Both assume fast automatic and slow controlled process routes. Additional comparisons favored the former model. In line with the DIM, we thus conclude that automatically evoked stereotype associations interfere with correct object identification from the outset of each WIT trial.
REFERENCES
- (2016). Fractal scaling and implicit bias: A conceptual replication of Correll (2008). In Papafragou A., , Grodner D., , Mirman D., , & Trueswell J. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 1553–1558). Cognitive Science Society. https://cognitivesciencesociety.org/wp-content/uploads/2019/03/cogsci2016_proceedings.pdf Google Scholar
- (2009). Multinomial process tree models of control and automaticity in weapon misidentification. Journal of Experimental Social Psychology, 45(3), 524–534. https://doi.org/10.1016/j.jesp.2008.11.002 Crossref, Google Scholar
- (2004). Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research, 33(2), 261–304. https://doi.org/10.1177/0049124104268644 Crossref, Google Scholar
- (2005). Separating multiple processes in implicit social cognition: The quad model of implicit task performance. Journal of Personality and Social Psychology, 89(4), 469–487. https://doi.org/10.1037/0022-3514.89.4.469 Crossref, Google Scholar
- (2008). 1/f noise and effort on implicit measures of bias. Journal of Personality and Social Psychology, 94(1), 48–59. https://doi.org/10.1037/0022-3514.94.1.48 Crossref, Google Scholar
- (2004). Separable neural components in the processing of black and white faces. Psychological Science, 15(12), 806–813. https://doi.org/10.1111/j.0956-7976.2004.00760.x Crossref, Google Scholar
- (2007). On the resolution of conflict in dual process theories of reasoning. Thinking & Reasoning, 13(4), 321–339. https://doi.org/10.1080/13546780601008825 Crossref, Google Scholar
- (2006). Ego-depletion and prejudice: Separating automatic and controlled components. Social Cognition, 24(2), 111–136. https://doi.org/10.1521/soco.2006.24.2.111 Link, Google Scholar
- (2018). TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling. Behavior Research Methods, 50(1), 264–284. https://doi.org/10.3758/s13428-017-0869-7 Crossref, Google Scholar
- (2016). Extending multinomial processing tree models to measure the relative speed of cognitive processes. Psychonomic Bulletin & Review, 23(5), 1440–1465. https://doi.org/10.3758/s13423-016-1025-6 Crossref, Google Scholar
- (2009). Affective regulation of implicitly measured stereotypes and attitudes: Automatic and controlled processes. Journal of Experimental Social Psychology, 45(3), 560–566. https://doi.org/10.1016/j.jesp.2009.01.007 Crossref, Google Scholar
- (2015). Toward a comprehensive understanding of executive cognitive function in implicit racial bias. Journal of Personality and Social Psychology, 108(2), 187–218. https://doi.org/10.1037/a0038557 Crossref, Google Scholar
- (2010). Person categorization and automatic racial stereotyping effects on weapon identification. Personality and Social Psychology Bulletin, 36(8), 1073–1085. https://doi.org/10.1177/0146167210375817 Crossref, Google Scholar
- (2020). The social psychology of racially biased policing: Evidence-based policy responses. Policy Insights from the Behavioral and Brain Sciences, 7(2), 107–114. https://doi.org/10.1177/2372732220943639 Crossref, Google Scholar
- (2010). Hierarchical multinomial processing tree models: A latenttrait approach. Psychometrika, 75(1), 70–98. https://doi.org/10.1007/s11336-009-9141-0 Crossref, Google Scholar
- (2015). The invariance assumption in process-dissociation models: An evaluation across three domains. Journal of Experimental Psychology: General, 144(1), 198–221. https://doi.org/10.1037/xge0000044 Crossref, Google Scholar
- (2018). RT-MPTs: Process models for response-time distributions based on multinomial processing trees with applications to recognition memory. Journal of Mathematical Psychology, 82, 111–130. Crossref, Google Scholar
- (2008). Effects of race on responses and response latencies in the weapon identification task: A test of six models. Personality and Social Psychology Bulletin, 34(8), 1124–1140. https://doi.org/10.1177/0146167208318603 Crossref, Google Scholar
- (2014). The control-freak mind: Stereotypical biases are eliminated following conflict-activated cognitive control. Journal of Experimental Psychology. General, 143(2), 498–503. https://doi.org/10.1037/a0033047 Crossref, Google Scholar
- (2004). Representing parametric order constraints in multi-trial applications of multinomial processing tree models. Journal of Mathematical Psychology, 48(4), 215–229. https://doi.org/10.1016/j.jmp.2004.03.002 Crossref, Google Scholar
- (2003). Stereotypes as dominant responses: On the “social facilitation” of prejudice in anticipated public contexts. Journal of Personality and Social Psychology, 84(2), 277–295. https://doi.org/10.1037/0022-3514.84.2.277 Crossref, Google Scholar
- (2015). Making sense of the noise: Replication difficulties of Correll's (2008) modulation of 1/f noise in a racial bias task. Psychonomic Bulletin & Review, 22(4), 1135–1141. https://doi.org/10.3758/s13423-014-0757-4 Crossref, Google Scholar
- (2001). Prejudice and perception: The role of automatic and controlled processes in misperceiving a weapon. Journal of Personality and Social Psychology, 81(2), 181–192. https://doi.org/10.1037/0022-3514.81.2.181 Crossref, Google Scholar
- (2005). Conceptualizing control in social cognition: How executive functioning modulates the expression of automatic stereotyping. Journal of Personality and Social Psychology, 89(4), 488–503. https://doi.org/10.1037/0022-3514.89.4.488 Crossref, Google Scholar
- (2002). Best laid plans: Effects of goals on accessibility bias and cognitive control in race-based misperceptions of weapons. Journal of Experimental Social Psychology, 38(4), 384–396. https://doi.org/10.1016/S0022-1031(02)00006-9 Crossref, Google Scholar
- (2005). Mental control and visual illusions: Toward explaining race-biased weapon misidentifications. Journal of Experimental Social Psychology, 41(1), 36–47. https://doi.org/10.1016/j.jesp.2004.05.001 Crossref, Google Scholar
- (1991). Statistical inference for multinomial processing tree models. In Doignon J.-P., & Falmagne J.-C. (Eds.), Mathematical psychology: Current developments (pp. 313–335). Springer. https://doi.org/10.1007/978-1-4613-9728-1_18 Crossref, Google Scholar
- (2017). The weapons identification task: Recommendations for adequately powered research. PLoS One, 12(6), e0177857. https://doi.org/10.1371/journal.pone.0177857 Crossref, Google Scholar
- (2023). How to develop, test, and extend multinomial processing tree models: A tutorial. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000561 Google Scholar
- (1977). Controlled and automatic human information processing: I. detection, search, and attention. Psychological Review, 84(1), 1–66. https://doi.org/10.1037/0033-295X.84.1.1 Crossref, Google Scholar
- (2006). On building a better process model: It's not only how many, but which ones and by which means? Psychological Inquiry, 17(3), 173–184. Crossref, Google Scholar
- (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychological Review, 84(2), 127–190. https://doi.org/10.1037/0033-295X.84.2.127 Crossref, Google Scholar
- (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64(4), 583–639. https://doi.org/10.1111/1467-9868.00353 Crossref, Google Scholar
- (2014). The deviance information criterion: 12 years on. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(3), 485–493. https://doi.org/10.1111/rssb.12062 Crossref, Google Scholar
- (2008). Bringing automatic stereotyping under control: Implementation intentions as efficient means of thought control. Personality and Social Psychology Bulletin, 34(10), 1332–1345. https://doi.org/10.1177/0146167208321269 Crossref, Google Scholar
- (2017). The psychological science of racial bias and policing. Psychology, Public Policy, and Law, 23(4), 398–409. https://doi.org/10.1037/law0000130 Crossref, Google Scholar
- (2021). Category salience and racial bias in weapon identification: A diffusion modeling approach. Journal of Personality and Social Psychology, 120(3), 672–693. https://doi.org/10.1037/pspi0000279 Crossref, Google Scholar
- (2017). Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27(5), 1413–1432. https://doi.org/10.1007/s11222-016-9696-4 Crossref, Google Scholar
- (2020). Dissociating automatic associations: Comparing two implicit measurements of race bias. European Journal of Social Psychology, 50(4), 876–888. https://doi.org/10.1002/ejsp.2655 Crossref, Google Scholar
- (2010). Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. Journal of Machine Learning Research, 11, 3571–3594. Google Scholar
