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Self-derivation through memory integration: clusters of precursor sub-processes.

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Title: Self-derivation through memory integration: clusters of precursor sub-processes.
Authors: Cronin-Golomb, Lucy M. (AUTHOR), Lee, Katherine A. (AUTHOR), Spradling, Greer E. (AUTHOR), Bauer, Patricia J. (AUTHOR)
Source: Memory. Mar2026, Vol. 34 Issue 3, p329-348. 20p.
Subjects: Intellect, Repeated measures design, Task performance, Sensory stimulation, Data analysis, T-test (Statistics), Research funding, Universities & colleges, Eye movement measurements, Learning, Descriptive statistics, Experimental design, Memory, Analysis of variance, Statistics, Child psychology, Psychological tests, Data analysis software, Child behavior, Regression analysis, Children
Geographic Terms: Georgia
Abstract: Knowledge builds through direct experiences (e.g., teaching) and productive processes (e.g., analogy). There is variability in the specific productive process of self-derivation of new knowledge through integration of separate yet related episodes of new learning. The variability relates to each of four hypothesised precursor sub-processes: encoding, reactivation, integration (all three for both children and adults), and selection (tested in children only). However, relations between each sub-process and self-derivation have been investigated in separate samples. As such, how they work together to support self-derivation is unknown. In the current research, we investigated all four sub-processes in samples of 7–11-year-olds (Study 1) and college-age adults (Study 2). In the child sample and in the combined sample of children and adults, encoding, reactivation, and integration each were found to relate to self-derivation; selection was not related to self-derivation. In the children sample and in the combined sample of children and adults, cluster analyses revealed two paths to successful self-derivation, one of which was more prompt-independent and the other seemingly was dependent on prompts. There also were two paths to unsuccessful self-derivation, both characterised by low success at encoding. The results provide new insight into sources of variability in self-derivation through memory integration. [ABSTRACT FROM AUTHOR]
Copyright of Memory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
FullText Text:
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Self-derivation through memory integration: clusters of precursor sub-processes.
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  Data: <searchLink fieldCode="JN" term="%22Memory%22">Memory</searchLink>. Mar2026, Vol. 34 Issue 3, p329-348. 20p.
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  Data: Knowledge builds through direct experiences (e.g., teaching) and productive processes (e.g., analogy). There is variability in the specific productive process of self-derivation of new knowledge through integration of separate yet related episodes of new learning. The variability relates to each of four hypothesised precursor sub-processes: encoding, reactivation, integration (all three for both children and adults), and selection (tested in children only). However, relations between each sub-process and self-derivation have been investigated in separate samples. As such, how they work together to support self-derivation is unknown. In the current research, we investigated all four sub-processes in samples of 7–11-year-olds (Study 1) and college-age adults (Study 2). In the child sample and in the combined sample of children and adults, encoding, reactivation, and integration each were found to relate to self-derivation; selection was not related to self-derivation. In the children sample and in the combined sample of children and adults, cluster analyses revealed two paths to successful self-derivation, one of which was more prompt-independent and the other seemingly was dependent on prompts. There also were two paths to unsuccessful self-derivation, both characterised by low success at encoding. The results provide new insight into sources of variability in self-derivation through memory integration. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Memory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=191802243
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/09658211.2026.2619445
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 329
    Subjects:
      – SubjectFull: Intellect
        Type: general
      – SubjectFull: Repeated measures design
        Type: general
      – SubjectFull: Task performance
        Type: general
      – SubjectFull: Sensory stimulation
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Universities & colleges
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      – SubjectFull: Eye movement measurements
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      – SubjectFull: Learning
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      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Experimental design
        Type: general
      – SubjectFull: Memory
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Statistics
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      – SubjectFull: Child psychology
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      – SubjectFull: Psychological tests
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      – SubjectFull: Data analysis software
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      – SubjectFull: Children
        Type: general
      – SubjectFull: Georgia
        Type: general
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      – TitleFull: Self-derivation through memory integration: clusters of precursor sub-processes.
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              Text: Mar2026
              Type: published
              Y: 2026
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