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Sources of interference in item and associative recognition memory: Insights from a hierarchical Bayesian analysis of a global matching model

Osth, Adam Frederick
http://rave.ohiolink.edu/etdc/view?acc_num=osu1397136173

Abstract Details

2014, Doctor of Philosophy, Ohio State University, Psychology.
A powerful theoretical framework for exploring recognition memory is the global matching framework, in which a cue's memory strength reflects the similarity of the retrieval cues being matched against all of the contents of memory simultaneously. Contributions at retrieval can be categorized as matches and mismatches to the item and context cues, including the self match (match on item and context), item noise (match on context, mismatch on item), context noise (match on item, mismatch on context), and background noise (mismatch on item and context). I present a model that directly parameterizes the matches and mismatches to the item and context cues, which enables estimation of the magnitude of each interference contribution (item noise, context noise, and background noise). The model was fit within a hierarchical Bayesian framework to ten recognition memory datasets that employ manipulations of strength, list length, list strength, word frequency, study-test delay, and stimulus class in item and associative recognition. Estimates of the model parameters revealed at most a small contribution of item noise that varies by stimulus class, with virtually no item noise for single words and scenes. Despite the unpopularity of background noise in recognition memory models, background noise estimates dominated at retrieval across nearly all stimulus classes with the exception of high frequency words, which exhibited equivalent levels of context noise and background noise. These parameter estimates suggest that the majority of interference in recognition memory stems from experiences acquired prior to the learning episode.
Per Sederberg, PhD (Advisor)
Roger Ratcliff, PhD (Committee Member)
Jay Myung, PhD (Committee Member)
118 p.
Psychology
recognition memory, associative recognition, memory models, computational modeling, hierarchical Bayesian analysis, global matching models

Recommended Citations

Citations

  • Osth, A. F. (2014). Sources of interference in item and associative recognition memory: Insights from a hierarchical Bayesian analysis of a global matching model [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397136173

    APA Style (7th edition)

  • Osth, Adam. Sources of interference in item and associative recognition memory: Insights from a hierarchical Bayesian analysis of a global matching model. 2014. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1397136173.

    MLA Style (8th edition)

  • Osth, Adam. "Sources of interference in item and associative recognition memory: Insights from a hierarchical Bayesian analysis of a global matching model." Doctoral dissertation, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397136173

    Chicago Manual of Style (17th edition)

osu1397136173
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© 2014, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.