Self-report measures of prospective memory are reliable but not valid.
Bibliographic record
Abstract
Are self-report measures of prospective memory (ProM) reliable and valid? To examine this question, 240 undergraduate student volunteers completed several widely used self-report measures of ProM including the Prospective Memory Questionnaire (PMQ), the Prospective and Retrospective Memory Questionnaire (PRMQ), the Comprehensive Assessment of Prospective Memory (CAPM) questionnaire, self-reports of retrospective memory (RetM), objective measures of ProM and RetM, and measures of involvement in activities and events, memory strategies and aids use, personality and verbal intelligence. The results showed that both convergent and divergent validity of ProM self-reports are poor, even though we assessed ProM using a newly developed, reliable continuous measure. Further analyses showed that a substantial proportion of variability in ProM self-report scores was due to verbal intelligence, personality (conscientiousness, neuroticism), activities and event involvement (busyness), and use of memory strategies and aids. ProM self-reports have adequate reliability, but poor validity and should not be interpreted as reflecting ProM ability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".