{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/82160"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/82160","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Assessing the Relationship Between Item Recognition and Source Memory Using Multivariate Signal Detection Theory","abstract":"This paper develops a bivariate strength model that is able to simultaneously account for source memory and recognition memory performance. The model is grounded in the source monitoring framework, which suggests that the strength of a test probe depends upon what aspects of a memory representation are queried. In four experiments, the fit of the model to empirical data is assessed with respect to the current benchmark in the field, Yonelinas's (1994, 1999) dual-process model. In addition, the properties of the model are examined to better inform our understanding of the relationship between recognition and source memory. In all conditions, the bivariate strength model outperformed the dual-process model. The parameters from those fits suggest that the effects of encoding are not global: there are factors that selectively improve recognition performance and source memory performance (Experiments 1 and 2). Experiment 3 further suggested recognition memory may benefit primarily from the initial presentation of an item and, consistent with the one-shot hypothesis, this benefit is not enhanced by increasing study time. Experiment 4 found that the effects of forgetting do appear to be global: performance on recognition and source memory test decreased at proportional rates with time. Overall, it is demonstrated that a continuous strength model is a viable candidate to describe performance on different memory tasks simultaneously, and that it provides a unique means of gathering information about the underlying representations.","abstract_html":"This paper develops a bivariate strength model that is able to simultaneously account for source memory and recognition memory performance. The model is grounded in the source monitoring framework, which suggests that the strength of a test probe depends upon what aspects of a memory representation are queried. In four experiments, the fit of the model to empirical data is assessed with respect to the current benchmark in the field, Yonelinas's (1994, 1999) dual-process model. In addition, the properties of the model are examined to better inform our understanding of the relationship between recognition and source memory. In all conditions, the bivariate strength model outperformed the dual-process model. The parameters from those fits suggest that the effects of encoding are not global: there are factors that selectively improve recognition performance and source memory performance (Experiments 1 and 2). Experiment 3 further suggested recognition memory may benefit primarily from the initial presentation of an item and, consistent with the one-shot hypothesis, this benefit is not enhanced by increasing study time. Experiment 4 found that the effects of forgetting do appear to be global: performance on recognition and source memory test decreased at proportional rates with time. Overall, it is demonstrated that a continuous strength model is a viable candidate to describe performance on different memory tasks simultaneously, and that it provides a unique means of gathering information about the underlying representations.","abstract_has_math":false,"creators":["Diaz, Michael Lazaro"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Benjamin, Aaron S."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:39:24Z","date_published":"2015-09-25T20:39:24Z","updated_at":"2026-07-22T22:26:17Z","subjects":["Psychology, Cognitive"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3337748"],"render_values":[{"text":"(MiAaPQ)AAI3337748","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/82160","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Benjamin, Aaron S."]},{"key":"dc:creator","label":"Author","values":["Diaz, Michael Lazaro"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:39:24Z","10000-01-01","2008"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Psychology, Cognitive"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/82160","(MiAaPQ)AAI3337748"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This paper develops a bivariate strength model that is able to simultaneously account for source memory and recognition memory performance. The model is grounded in the source monitoring framework, which suggests that the strength of a test probe depends upon what aspects of a memory representation are queried. In four experiments, the fit of the model to empirical data is assessed with respect to the current benchmark in the field, Yonelinas's (1994, 1999) dual-process model. In addition, the properties of the model are examined to better inform our understanding of the relationship between recognition and source memory. In all conditions, the bivariate strength model outperformed the dual-process model. The parameters from those fits suggest that the effects of encoding are not global: there are factors that selectively improve recognition performance and source memory performance (Experiments 1 and 2). Experiment 3 further suggested recognition memory may benefit primarily from the initial presentation of an item and, consistent with the one-shot hypothesis, this benefit is not enhanced by increasing study time. Experiment 4 found that the effects of forgetting do appear to be global: performance on recognition and source memory test decreased at proportional rates with time. Overall, it is demonstrated that a continuous strength model is a viable candidate to describe performance on different memory tasks simultaneously, and that it provides a unique means of gathering information about the underlying representations.","Made available in DSpace on 2015-09-25T20:39:24Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337748.pdf: 1186255 bytes, checksum: 5de659f950e7bde4cc9ef4b9cda78c0d (MD5) Previous issue date: 2008","Embargo set by: Seth Robbins for item 83441 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","105 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008."]},{"key":"dc:title","label":"Title","values":["Assessing the Relationship Between Item Recognition and Source Memory Using Multivariate Signal Detection Theory"]}]}],"canonical_facts":{"dc:contributor":["Benjamin, Aaron S."],"dc:creator":["Diaz, Michael Lazaro"],"dc:date":["2015-09-25T20:39:24Z","10000-01-01","2008"],"dc:description":["This paper develops a bivariate strength model that is able to simultaneously account for source memory and recognition memory performance. The model is grounded in the source monitoring framework, which suggests that the strength of a test probe depends upon what aspects of a memory representation are queried. In four experiments, the fit of the model to empirical data is assessed with respect to the current benchmark in the field, Yonelinas's (1994, 1999) dual-process model. In addition, the properties of the model are examined to better inform our understanding of the relationship between recognition and source memory. In all conditions, the bivariate strength model outperformed the dual-process model. The parameters from those fits suggest that the effects of encoding are not global: there are factors that selectively improve recognition performance and source memory performance (Experiments 1 and 2). Experiment 3 further suggested recognition memory may benefit primarily from the initial presentation of an item and, consistent with the one-shot hypothesis, this benefit is not enhanced by increasing study time. Experiment 4 found that the effects of forgetting do appear to be global: performance on recognition and source memory test decreased at proportional rates with time. Overall, it is demonstrated that a continuous strength model is a viable candidate to describe performance on different memory tasks simultaneously, and that it provides a unique means of gathering information about the underlying representations.","Made available in DSpace on 2015-09-25T20:39:24Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3337748.pdf: 1186255 bytes, checksum: 5de659f950e7bde4cc9ef4b9cda78c0d (MD5) Previous issue date: 2008","Embargo set by: Seth Robbins for item 83441 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","105 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008."],"dc:identifier":["http://hdl.handle.net/2142/82160","(MiAaPQ)AAI3337748"],"dc:language":["eng"],"dc:subject":["Psychology, Cognitive"],"dc:title":["Assessing the Relationship Between Item Recognition and Source Memory Using Multivariate Signal Detection Theory"],"dc:type":["text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:17Z"}