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Open AccessRegistered Report

Testing Hypotheses About Binding in Context Memory With a Hierarchical Multinomial Modeling Approach

A Preregistered Study

Published Online:May 17, 2019https://doi.org/10.1027/1618-3169/a000442

Abstract

Abstract. In experiments on multidimensional source memory, a stochastic dependency of source memory for different facets of an episode has been repeatedly demonstrated. This may suggest an integrated representation leading to mutual cuing in context retrieval. However, experiments involving a manipulated reinstatement of one source feature have often failed to affect retrieval of the other feature, suggesting unbound features or rather item-feature binding. The stochastic dependency found in former studies might be a spurious correlation due to aggregation across participants varying in memory strength. We test this artifact explanation by applying a hierarchical multinomial model. Observing stochastic dependency when accounting for interindividual differences would rule out the artifact explanation. A second goal is to elucidate the nature of feature binding: Contrasting encoding conditions with integrated feature judgments versus separate feature judgments are expected to induce different levels of stochastic dependency despite comparable overall source memory if integrated representations include feature-feature binding. The experiment replicated the finding of stochastic dependency and, thus, ruled out an artifact interpretation. However, we did not find different levels of stochastic dependency between conditions. Therefore, the current findings do not reveal decisive evidence to distinguish between the feature-feature binding and the item-context binding account.

References

  • Arnold, N. R., Bayen, U. J., Kuhlmann, B. G., & Vaterrodt, B. (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 First citation in articleCrossref Medline, Google Scholar

  • Arnold, N. R., Boywitt, C. D., & Bröder, A. (2014, November). Context memory and context binding: A hierarchical multinomial modeling approach. Poster at the 5th Annual Meeting of the Psychonomic Society (Psychonomics), Long Beach, CA First citation in articleGoogle Scholar

  • Bayen, U. J., Murnane, K., & Erdfelder, E. (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 First citation in articleCrossref, Google Scholar

  • Boywitt, C. D., & Meiser, T. (2012a). Bound context features are integrated at encoding. The Quarterly Journal of Experimental Psychology, 65, 1484–1501. https://doi.org/10.1080/17470218.2012.656668 First citation in articleCrossref, Google Scholar

  • Boywitt, C. D., & Meiser, T. (2012b). The role of attention for context-context binding of intrinsic and extrinsic features. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 1099–1107. https://doi.org/10.1037/a0026988 First citation in articleCrossref Medline, Google Scholar

  • Heck, D. W., Arnold, N. R., & Arnold, D. (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 First citation in articleCrossref Medline, Google Scholar

  • Hicks, J. L., & Starns, J. J. (2015). Using multidimensional encoding and retrieval contexts to enhance our understanding of stochastic dependence in source memory. In B. H. RossEd., The psychology of learning and motivation (Vol. 62, pp. 101–140). Cambridge, MA: Academic Press. https://doi.org/10.1016/bs.plm.2014.09.004 First citation in articleGoogle Scholar

  • Hicks, J. L., & Starns, J. J. (2016). Successful cuing of gender source memory does not improve location source memory. Memory & Cognition, 44, 650–659. https://doi.org/10.3758/s13421-016-0586-y First citation in articleCrossref Medline, Google Scholar

  • Johnson, M. K., Hashtroudi, S., & Lindsay, D. S. (1993). Source monitoring. Psychological Bulletin, 114, 3–28. https://doi.org/10.1037/0033-2909.114.1.3 First citation in articleCrossref Medline, Google Scholar

  • Klauer, K. C. (2006). Hierarchical multinomial processing tree models: A latent-class approach. Psychometrika, 71, 7–31. https://doi.org/10.1007/s11336-004-1188-3 First citation in articleCrossref, Google Scholar

  • Klauer, K. C. (2010). Hierarchical multinomial processing tree models: A latent-trait approach. Psychometrika, 75, 70–98. https://doi.org/10.1007/s11336-009-9141-0 First citation in articleCrossref, Google Scholar

  • Matzke, D., Dolan, C. V., Batchelder, W. H., & Wagenmakers, E.-J. (2015). Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika, 80, 205–235. https://doi.org/10.1007/s11336-013-9374-9 First citation in articleCrossref Medline, Google Scholar

  • Meiser, T. (2014). Analyzing stochastic dependence of cognitive processes in multidimensional source recognition. Experimental Psychology, 61, 402–415. https://doi.org/10.1027/1618-3169/a000261 First citation in articleLink, Google Scholar

  • Meiser, T., & Bröder, A. (2002). Memory for multidimensional source information. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 116–137. https://doi.org/10.1037/0278-7393.28.1.116 First citation in articleCrossref Medline, Google Scholar

  • Meiser, T., Sattler, C., & Weisser, K. (2008). Binding of multidimensional context information as a distinctive characteristic of remember judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 32–49. https://doi.org/10.1037/0278-7393.34.1.32 First citation in articleCrossref Medline, Google Scholar

  • Meng, X.-L. (1994). Posterior predictive p-values. The Annals of Statistics, 22, 1142–1160. https://doi.org/10.1214/aos/1176325622 First citation in articleCrossref, Google Scholar

  • Milne, A. A. (1973). Winnie-the-pooh. London, UK: Methuen Children’s Books. First citation in articleGoogle Scholar

  • Moshagen, M. (2010). multiTree: A computer program for the analysis of multinomial processing tree models. Behavior Research Methods, 42, 42–54. https://doi.org/10.3758/BRM.42.1.42 First citation in articleCrossref Medline, Google Scholar

  • Murnane, K., & Bayen, U. J. (1996). An evaluation of empirical measures of source identification. Memory & Cognition, 24, 417–428. https://doi.org/10.3758/BF03200931 First citation in articleCrossref Medline, Google Scholar

  • Plummer, M. (2003). JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. In M. PlummerK. HornikF. LeischA. ZeileisEds., Proceedings of the 3rd International Workshop on Distributed Statistical Computing (Vol. 124, pp. 125–134). Vienna, Austria: Technical University. First citation in articleGoogle Scholar

  • Rouder, J. N., & Lu, J. (2005). An introduction to Bayesian hierarchical models with an application in the theory of signal detection. Psychonomic Bulletin & Review, 12, 573–604. https://doi.org/10.3758/BF03196750 First citation in articleCrossref Medline, Google Scholar

  • Smith, J. B., & Batchelder, W. H. (2008). Assessing individual differences in categorical data. Psychonomic Bulletin & Review, 15, 713–731. https://doi.org/10.3758/PBR.15.4.713 First citation in articleCrossref Medline, Google Scholar

  • Smith, J. B., & Batchelder, W. H. (2010). Beta-MPT: Multinomial processing tree models for addressing individual differences. Journal of Mathematical Psychology, 54, 167–183. https://doi.org/10.1016/j.jmp.2009.06.007 First citation in articleCrossref, Google Scholar

  • Starns, J. J., & Hicks, J. L. (2005). Source dimensions are retrieved independently in multidimensional monitoring tasks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 1213–1220. https://doi.org/10.1037/0278-7393.31.6.1213 First citation in articleCrossref Medline, Google Scholar

  • Starns, J. J., & Hicks, J. L. (2008). Context attributes in memory are bound to item information, but not to one another. Psychonomic Bulletin & Review, 15, 309–314. https://doi.org/10.3758/PBR.15.2.309 First citation in articleCrossref Medline, Google Scholar

  • Tulving, E. (1985). Memory and consciousness. Canadian Psychology, 26, 1–12. https://doi.org/10.1037/h0080017 First citation in articleCrossref, Google Scholar

  • Vogt, V., & Bröder, A. (2007). Independent retrieval of source dimensions: An extension of results by Starns and Hicks (2005) and a comment on the ACSIM measure. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 443–450. https://doi.org/10.1037/0278-7393.33.2.443 First citation in articleCrossref Medline, Google Scholar

  • von Hecker, U., & Meiser, T. (2005). Defocused attention in depressed mood: Evidence from source monitoring. Emotion, 5, 456–463. https://doi.org/10.1037/1528-3542.5.4.456 First citation in articleCrossref Medline, Google Scholar