Evidence map›Paper›PMID 36944860›Full record

ArticleBehavior research methods2024

Taking stock of the past: A psychometric evaluation of the Autobiographical Interview.

Amber W Lockrow, Roni Setton, Karen A P Spreng, Signy Sheldon, Gary R Turner, R Nathan Spreng

Abstract read
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Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Self-Protection Motivation and Its Psychological Construction: A Process Model Distinguishing Two Unique Motivational Orientations.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026
    Review
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  9. A smartphone intervention that enhances real-world memory and promotes differentiation of hippocampal activity in older adults.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amber W LockrowDepartment of Neurology and Neurosurgery, Laboratory of Brain and Cognition, Montréal Neurological Institute, McGill University, Montréal, QC, H3A 2B4, Canada.
Roni SettonDepartment of Neurology and Neurosurgery, Laboratory of Brain and Cognition, Montréal Neurological Institute, McGill University, Montréal, QC, H3A 2B4, Canada.
Karen A P SprengConcordia University, Montréal, QC, Canada.
Signy SheldonDepartment of Psychology, McGill University, Montréal, QC, Canada.
Gary R TurnerDepartment of Psychology, York University, Toronto, ON, Canada.
R Nathan SprengDepartment of Neurology and Neurosurgery, Laboratory of Brain and Cognition, Montréal Neurological Institute, McGill University, Montréal, QC, H3A 2B4, Canada. nathan.spreng@gmail.com.ORCID 0000-0003-1530-8916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autobiographical memory (AM) involves a rich phenomenological re-experiencing of a spatio-temporal event from the past, which is challenging to objectively quantify. The Autobiographical Interview (AI; Levine et al. Psychology and Aging, 17(4), 677-689, 2002) is a manualized performance-based assessment designed to quantify episodic (internal) and semantic (external) features of recalled and verbally conveyed prior experiences. The AI has been widely adopted, yet has not undergone a comprehensive psychometric validation. We investigated the reliability, validity, association to individual differences measures, and factor structure in healthy younger and older adults (N = 352). Evidence for the AI's reliability was strong: the subjective scoring protocol showed high inter-rater reliability and previously identified age effects were replicated. Internal consistency across timepoints was robust, suggesting stability in recollection. Central to our validation, internal AI scores were positively correlated with standard, performance-based measures of episodic memory, demonstrating convergent validity. The two-factor structure for the AI was not well supported by confirmatory factor analysis. Adjusting internal and external detail scores for the number of words spoken (detail density) improved trait estimation of AM performance. Overall, the AI demonstrated sound psychometric properties for inquiry into the qualities of autobiographical remembering.

Indexed as

Memory, EpisodicMental RecallAgedAgingHumansPsychometricsReproducibility of ResultsAgingAutobiographical memoryEpisodic memoryIndividual differencesSemantic memory

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.