Duffy, Sean and Smith, John (2018): On the Category Adjustment Model: Another look at Huttenlocher, Hedges, and Vevea (2000).
Preview |
PDF
MPRA_paper_86287.pdf Download (379kB) | Preview |
Abstract
Huttenlocher, Hedges, and Vevea (2000) (Why do categories affect stimulus judgment? Journal of Experimental Psychology: General, 129, 220-241) introduce the category adjustment model (CAM). Given that participants imperfectly remember stimuli (which we refer to as “targets”), CAM holds that participants maximize accuracy by using information about the distribution of the targets to improve their judgments. CAM predicts that judgments will be a weighted average of the imperfect memory of the target and the mean of the distribution of targets. Huttenlocher, Hedges, and Vevea (2000) report on three experiments and conclude that CAM is “verified.” We attempt to replicate Experiment 3 from Huttenlocher et al. (2000). We analyze judgment-level data rather than averaged data. We find evidence of a bias toward a set of recent targets rather than a bias toward the running mean. We also do not find evidence of the joint hypothesis that participants learned the distribution of targets and employed this information in their judgments. The judgments in our dataset are not consistent with CAM. We discuss how the apparent defects in HHV – including dividing by zero – went unnoticed and how such mistakes can be avoided in future research. Finally, we hope that the techniques that we employ will be used to test other datasets that are currently regarded as consistent with CAM or any Bayesian model of judgment.
Item Type: | MPRA Paper |
---|---|
Original Title: | On the Category Adjustment Model: Another look at Huttenlocher, Hedges, and Vevea (2000) |
Language: | English |
Keywords: | judgment; memory; category adjustment model; central tendency bias; recency effects; Bayesian judgments |
Subjects: | C - Mathematical and Quantitative Methods > C9 - Design of Experiments C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C91 - Laboratory, Individual Behavior |
Item ID: | 86287 |
Depositing User: | John Smith |
Date Deposited: | 22 Apr 2018 06:05 |
Last Modified: | 04 Oct 2019 06:13 |
References: | Allred, S., Crawford, L.E., Duffy, S., & Smith, J. (2016). Working memory and spatial judgments: Cognitive load increases the central tendency bias. Psychonomic Bulletin & Review, 23(6), 1825-1831. Ashourian, P., & Loewenstein, Y. (2011). Bayesian inference underlies the contraction bias in delayed comparison tasks. PloS ONE, 6(5), e19551. Bae, G. Y., Olkkonen, M., Allred, S. R., & Flombaum, J. I. (2015). Why some colors appear more memorable than others: A model combining categories and particulars in color working memory. Journal of Experimental Psychology: General, 144(4), 744-763. Barth, H., Lesser, E., Taggart, J., & Slusser, E. (2015). Spatial estimation: A non‐Bayesian alternative. Developmental Science, 18(5), 853-862. Blackwell, D., & Dubins, L. (1962). Merging of opinions with increasing information. Annals of Mathematical Statistics, 33, 882-886. Bowers, J. S., & Davis, C. J. (2012a). Bayesian just-so stories in psychology and neuroscience. Psychological Bulletin, 138(3), 389-414. Bowers, J. S., & Davis, C. J. (2012b). Is that what Bayesians believe? Reply to Griffiths, Chater, Norris, and Pouget (2012). Psychological Bulletin, 138(3), 423-426. Cassey, P., Hawkins, G. E., Donkin, C., & Brown, S. D. (2016). Using alien coins to test whether simple inference is Bayesian. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(3), 497-503. Chater, N., Goodman, N., Griffiths, T. L., Kemp, C., Oaksford, M., & Tenenbaum, J. B. (2011). The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science. Behavioral and Brain Sciences, 34(4), 194-196. Chater, N., Tenenbaum, J. B., & Yuille, A. (2006). Probabilistic models of cognition: Conceptual foundations. Trends in Cognitive Sciences, 10(7), 287-291. Choplin, J. M., & Hummel, J. E. (2002). Magnitude comparisons distort mental representations of magnitude. Journal of Experimental Psychology: General, 131(2), 270-286. Corbin, J. C., Crawford, L. E., & Vavra, D. T. (2017). Misremembering emotion: Inductive category effects for complex emotional stimuli. Memory & Cognition, 45(5), 691-698. Corneille, O., Huart, J., Becquart, E., & Brédart, S. (2004). When memory shifts toward more typical category exemplars: Accentuation effects in the recollection of ethnically ambiguous faces. Journal of Personality and Social Psychology, 86(2), 236-250. Crawford, L. E., & Duffy, S. (2010). Sequence effects in estimating spatial location. Psychonomic Bulletin & Review, 17(5), 725-730. Crawford, L. E., Huttenlocher, J., & Engebretson, P. H. (2000). Category effects on estimates of stimuli: Perception or reconstruction? Psychological Science, 11(4), 280-284. DeCarlo, L. T., & Cross, D. V. (1990). Sequential effects in magnitude scaling: Models and theory. Journal of Experimental Psychology: General, 119(4), 375-396. Duffy, S., Gussman, S., & Smith, J. (2018). Judgments of extent in the economics laboratory: Are there brains in choice? Working paper, Rutgers University-Camden. Duffy, S., Huttenlocher, J., Hedges, L. V., & Crawford, L. E. (2010). Category effects on stimulus estimation: Shifting and skewed frequency distributions. Psychonomic Bulletin & Review, 17, 224-230. Duffy, S., & Smith, J. (2018). Category effects on stimulus estimation: Shifting and skewed frequency distributions-A reexamination. Psychonomic Bulletin & Review, forthcoming Eberhart, A. C., Maxwell, W. F., & Siddique, A. R. (2004). An examination of long‐term abnormal stock returns and operating performance following R&D increases. Journal of Finance, 59(2), 623-650. Edwards, W., Lindman, H., & Savage, L. J. (1963). Bayesian statistical inference for psychological research. Psychological Review, 70(3), 193-242. Elqayam, S., & Evans, J. S. B. (2011). Subtracting “ought” from “is”: Descriptivism versus normativism in the study of human thinking. Behavioral and Brain Sciences, 34(5), 233-248. Eriksson, K. (2012). The nonsense math effect. Judgment and Decision Making, 7(6), 746-749. Estes, W. K. (1956). The problem of inference from curves based on group data. Psychological Bulletin, 53(2), 134-140. Feldman, N. H., Griffiths, T. L., & Morgan, J. L. (2009). The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference. Psychological Review, 116(4), 752-782. Fugate, J. M. (2013). Categorical perception for emotional faces. Emotion Review, 5(1), 84-89. Goodman, N. D., Frank, M. C., Griffiths, T. L., Tenenbaum, J. B., Battaglia, P. W., & Hamrick, J. B. (2015). Relevant and robust: A response to Marcus and Davis (2013). Psychological Science, 26(4), 539-541. Griffiths, T. L., Chater, N., Norris, D., & Pouget, A. (2012). How the Bayesians got their beliefs (and what those beliefs actually are): Comment on Bowers and Davis (2012). Psychological Bulletin, 138(3), 415-422. Griffiths, T. L., & Tenenbaum, J. B. (2006). Optimal predictions in everyday cognition. Psychological Science, 17(9), 767-773. Hahn, U. (2014). The Bayesian boom: Good thing or bad? Frontiers in Psychology, 5, 765. Hayes, K. J. (1953). The backward curve: A method for the study of learning. Psychological Review, 60(4), 269-275. Hemmer, P., & Steyvers, M. (2009a). Integrating episodic memories and prior knowledge at multiple levels of abstraction. Psychonomic Bulletin & Review, 16(1), 80-87. Hemmer, P., & Steyvers, M. (2009b). A Bayesian account of reconstructive memory. Topics in Cognitive Science, 1, 189-202. Hemmer, P., Tauber, S., & Steyvers, M. (2015). Moving beyond qualitative evaluations of Bayesian models of cognition. Psychonomic Bulletin & Review, 22(3), 614-628. Hertwig, R., Pachur, T., & Kurzenhäuser, S. (2005). Judgments of risk frequencies: Tests of possible cognitive mechanisms. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(4), 621-642. Holden, M. P., Curby, K. M., Newcombe, N. S., & Shipley, T. F. (2010). A category adjustment approach to memory for spatial location in natural scenes. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36(3), 590-604. Hollingworth, H. L. (1910). The central tendency of judgment. The Journal of Philosophy, Psychology and Scientific Methods, 7(17), 461-469. Hund, A. M., & Spencer, J. P. (2003). Developmental changes in the relative weighting of geometric and experience-dependent location cues. Journal of Cognition and Development, 4(1), 3-38. Huttenlocher, J., Hedges, L. V., & Vevea, J. L. (2000). Why do categories affect stimulus judgment? Journal of Experimental Psychology: General, 129, 220-241. Jesteadt, W., Luce, R. D., & Green, D. M. (1977). Sequential effects in judgments of loudness. Journal of Experimental Psychology: Human Perception and Performance, 3(1), 92-104. Jones, M., Curran, T., Mozer, M. C., & Wilder, M. H. (2013). Sequential effects in response time reveal learning mechanisms and event representations. Psychological Review, 120(3), 628-666. Jones, M., & Love, B. C. (2011a). Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences, 34(4), 169-188. Jones, M., & Love, B. C. (2011b). Pinning down the theoretical commitments of Bayesian cognitive models. Behavioral and Brain Sciences, 34(4), 215-231. Kahneman, D., & Frederick, S. (2002). Representativeness revisited: Attribute substitution in intuitive judgment. In Gilovich, T., Griffin, D., & Kahneman, D. (Eds.), Heuristics and biases: The psychology of intuitive judgment, Cambridge University Press, 49-81. Kahneman, D., & Tversky, A., (1973). On the psychology of prediction. Psychological Review, 80(4), 237-251. Laming, D. (1984). The relativity of ‘absolute’judgements. British Journal of Mathematical and Statistical Psychology, 37(2), 152-183. Lewandowsky, S., Griffiths, T. L., & Kalish, M. L. (2009). The wisdom of individuals: Exploring people’s knowledge about everyday events using iterated learning. Cognitive Science, 33(6), 969-998. Marcus, G. F., & Davis, E. (2013). How robust are probabilistic models of higher-level cognition? Psychological Science, 24(12), 2351-2360. Marcus, G. F., & Davis, E. (2015). Still searching for principles: A response to Goodman et al. (2015). Psychological Science, 26(4), 542-544. McCullough, S., & Emmorey, K. (2009). Categorical perception of affective and linguistic facial expressions. Cognition, 110(2), 208-221. Moore, D. A., & Healy, P. J. (2008). The trouble with overconfidence. Psychological Review, 115(2), 502–517. Mozer, M. C., Pashler, H., & Homaei, H. (2008). Optimal predictions in everyday cognition: The wisdom of individuals or crowds? Cognitive Science, 32(7), 1133-1147. Norris, D., & McQueen, J. M. (2008). Shortlist B: A Bayesian model of continuous speech recognition. Psychological Review, 115(2), 357-395. Olkkonen, M., & Allred, S. R. (2014). Short-term memory affects color perception in context. PloS ONE, 9(1), e86488. Olkkonen, M., McCarthy, P. F., & Allred, S. R. (2014). The central tendency bias in color perception: Effects of internal and external noise. Journal of Vision, 14(11), 1-15. Perfors, A., Tenenbaum, J. B., Griffiths, T. L., & Xu, F. (2011). A tutorial introduction to Bayesian models of cognitive development. Cognition, 120(3), 302-321. Persaud, K., & Hemmer, P. (2014). The influence of knowledge and expectations for color on episodic memory. Proceedings of the Cognitive Science Society, 36, 1162-1167. Petzold, P. (1981). Distance effects on sequential dependencies in categorical judgments. Journal of Experimental Psychology: Human Perception and Performance, 7(6), 1371-1385. Petzold, P., & Haubensak, G. (2004). The influence of category membership of stimuli on sequential effects in magnitude judgment. Perception & Psychophysics, 66(4), 665-678. Petzschner, F. H., Glasauer, S., & Stephan, K. E. (2015). A Bayesian perspective on magnitude estimation. Trends in Cognitive Sciences, 19(5), 285-293. Poulton, E. C. (1979). Models for biases in judging sensory magnitude. Psychological Bulletin, 86(4), 777-803. Psychology Software Tools, Inc. [E-Prime 2.0]. (2012). Retrieved from http://www.pstnet.com. Rahnev, D. & Denison, R. N. (2018). Suboptimality in Perceptual Decision Making. Behavioral and Brain Sciences, forthcoming. Roberson, D., Damjanovic, L., & Pilling, M. (2007). Categorical perception of facial expressions: Evidence for a “category adjustment” model. Memory & Cognition, 35(7), 1814-1829. Sailor, K. M., & Antoine, M. (2005). Is memory for stimulus magnitude Bayesian? Memory & Cognition, 33, 840-851. Sampson, R. J., & Raudenbush, S. W. (2004). Seeing disorder: Neighborhood stigma and the social construction of “broken windows.” Social Psychology Quarterly, 67(4), 319-342. Savage, L.J. (1954). The Foundations of Statistics. Wiley, New York. Reprinted in 1972 by Dover, New York. Schutte, A. R., & Spencer, J. P. (2009). Tests of the dynamic field theory and the spatial precision hypothesis: Capturing a qualitative developmental transition in spatial working memory. Journal of Experimental Psychology: Human Perception and Performance, 35(6), 1698-1725. Sidman, M. (1952). A note on functional relations obtained from group data. Psychological Bulletin, 49(3), 263-269. Siegler, R. S. (1987). The perils of averaging data over strategies: An example from children's addition. Journal of Experimental Psychology: General, 116(3), 250-264. Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359-1366. Spencer, J. P., & Hund, A. M. (2002). Prototypes and particulars: Geometric and experience-dependent spatial categories. Journal of Experimental Psychology: General, 131(1), 16-37. Spencer, J. P., & Hund, A. M. (2003). Developmental continuity in the processes that underlie spatial recall. Cognitive Psychology, 47(4), 432-480. Sperber, D. (2010). The guru effect. Review of Philosophy and Psychology, 1(4), 583-592. Staddon, J. E., King, M., & Lockhead, G. R. (1980). On sequential effects in absolute judgment experiments. Journal of Experimental Psychology: Human Perception and Performance, 6(2), 290-301. Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing transparency through a multiverse analysis. Perspectives on Psychological Science, 11(5), 702-712. Stevens, S. S., & Greenbaum, H. B. (1966). Regression effect in psychophysical judgment. Perception & Psychophysics, 1(5), 439-446. Stewart, N., Brown, G. D., & Chater, N. (2002). Sequence effects in categorization of simple perceptual stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(1), 3-11. Tauber, S., Navarro, D. J., Perfors, A., & Steyvers, M. (2017). Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory. Psychological Review, 124(4), 410-441. Tenenbaum, J. B., Griffiths, T. L., & Kemp, C. (2006). Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences, 10(7), 309-318. Twedt, E., Crawford, L. E., & Proffitt, D. R. (2015). Judgments of others’ heights are biased toward the height of the perceiver. Psychonomic Bulletin & Review, 22(2), 566-571. Vines, T. H., Albert, A. Y., Andrew, R. L., Débarre, F., Bock, D. G., Franklin, M. T., Gilbert, K. J., Moore, J. S., Renaut, S., & Rennison, D. J. (2014). The availability of research data declines rapidly with article age. Current Biology, 24(1), 94-97. Wagenmakers, E. J., Wetzels, R., Borsboom, D., & Maas, H. L. J. (2011). Why psychologists must change the way they analyze their data: The case of psi. Journal of Personality and Social Psychology, 100(3), 426-432. Wicherts, J. M., Veldkamp, C. L., Augusteijn, H. E., Bakker, M., van Aert, R. C., & Van Assen, M. A. (2016). Degrees of freedom in planning, running, analyzing, and reporting psychological studies: A checklist to avoid p-hacking. Frontiers in Psychology, 7, 1832. Wilder, M., Jones, M., & Mozer, M. C. (2009). Sequential effects reflect parallel learning of multiple environmental regularities. Advances in Neural Information Processing Systems, 22, 2053-2061. Woods, A. T., Poliakoff, E., Lloyd, D. M., Dijksterhuis, G. B., & Thomas, A. (2010). Flavor expectation: The effect of assuming homogeneity on drink perception. Chemosensory Perception, 3(3-4), 174-181. Young, S. G., Hugenberg, K., Bernstein, M. J., & Sacco, D. F. (2009). Interracial contexts debilitate same-race face recognition. Journal of Experimental Social Psychology, 45(5), 1123-1126. Yu, A. J., & Cohen, J. D. (2009). Sequential effects: Superstition or rational behavior? Advances in Neural Information Processing Systems, 21, 1873-1880. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/86287 |