Using retrieval contingencies to understand memory integration and inference.

Past work has yielded mixed insights into how people draw upon their memories to make new inferences. While some studies have shown memories can be combined during encoding to store never-experienced, inferential associations, others have emphasized a retrieval-based mechanism in which separate, hig...

Full description

Bibliographic Details
Published in:Memory & Cognition Vol. 53; no. 8; pp. 2597 - 2621
Main Authors: Yu, Wangjing, Duncan, Katherine D., Schlichting, Margaret L.
Format: Article
Published: Springer Nature Nov2025
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=189934414&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 189934414
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        0090502X
        MEG
      jtl: Memory & Cognition
      issn: 0090502X
      maglogo: N
    pubinfo:
      dt: Nov2025
      vid: 53
      iid: 8
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        189934414
        10.3758/s13421-025-01727-8
      ppf: 2597
      ppct: 24
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 4.2MB
      tig:
        atl: Using retrieval contingencies to understand memory integration and inference.
      aug:
        au:
          Yu, Wangjing
          Duncan, Katherine D.
          Schlichting, Margaret L.
        affil:
          https://ror.org/03dbr7087 Department of Psychology, University of Toronto, Toronto, Canada
          https://ror.org/0190ak572 Department of Psychology, New York University, New York, NY, USA
      su:
        Recognition (Psychology)
        Task performance
        Episodic memory
        Memory
        Affect (Psychology)
        Cognitive testing
        Research funding
        T-test (Statistics)
        Descriptive statistics
        Experimental design
        Simulation methods in education
        One-way analysis of variance
        Comparative studies
        Semantic memory
        Confidence intervals
        Associative memory (Psychology)
        Thought & thinking
        Regression analysis
      sug:
        subj:
          Recognition (Psychology)
          Task performance
          Episodic memory
          Memory
          Affect (Psychology)
          Cognitive testing
          Research funding
          T-test (Statistics)
          Descriptive statistics
          Experimental design
          Simulation methods in education
          One-way analysis of variance
          Comparative studies
          Semantic memory
          Confidence intervals
          Associative memory (Psychology)
          Thought & thinking
          Regression analysis
      keyword:
        Associative memory
        Cross-episode binding
        Integrative encoding
        Psychology and Cognitive Sciences Psychology
        Retrieval contingency
        Source memory
        Associative memory
        Cross-episode binding
        Integrative encoding
        Psychology and Cognitive Sciences Psychology
        Retrieval contingency
        Source memory
      ab: Past work has yielded mixed insights into how people draw upon their memories to make new inferences. While some studies have shown memories can be combined during encoding to store never-experienced, inferential associations, others have emphasized a retrieval-based mechanism in which separate, high-quality memories are recombined as inferences are needed. We hypothesized that there might be important individual differences to consider when reconciling these seemingly disparate findings. We set out to quantify these differences by measuring contingencies in people's memory recall behaviour. In Experiment 1, we first compared the performance of three memory contingency metrics using simulations and data from a task known to induce dependency. In doing so, we developed a correction to remove biases associated with general memory performance to isolate the representational structure of memories, and we selected the highest-fidelity option – corrected dependency – for subsequent analyses. Experiment 2 tested the sensitivity of our chosen metric: We manipulated the similarity across experiences to encourage integration for half of the memories. Consistent with prior work, we found reliable recall dependency in the high similarity condition. Finally, in Experiment 3, we used memory dependencies to reveal individual differences in inference approaches in exploratory analyses: While "separators" relied upon high-fidelity individual memories to make speeded inferences, "integrators" drew inferences faster than separators, but their judgements were not sped by recalling constituent experience details. Together, these findings highlight the importance of considering individual differences in memory representations when characterizing the mechanisms underlying memory-based inference.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N