Cuestionario de reserva cognitiva: propiedades psicométricas en población argentina
Bibliographic record
Abstract
INTRODUCTION: Cognitive reserve is the brain's capacity to actively overcome damage by means of pre-existing cognitive resources and compensatory processes. This capacity is enhanced by education, occupational attainment, learning languages and the habit of reading, among other important factors. This study aimed to investigate the psychometric properties of Rami et al's Cognitive Reserve Questionnaire in an Argentinian population. MATERIALS AND METHODS: The sample that participated in the study comprised 203 Argentinian adult volunteers from the general population (mean age, 66.1; standard deviation, 8.1). The Cognitive Reserve Questionnaire was administered together with the Montreal Cognitive Assessment. Confirmatory factor analysis was carried out to test the unidimensionality of the questionnaire. In addition, reliability was estimated by the categorical omega coefficient and associative validity was analysed by means of bivariate correlations. RESULTS: Factor analysis confirms the unidimensionality of the questionnaire with good fit indices. Items 5 (musical training) and 8 (intellectual games), however, show low factor loadings. The test has acceptable reliability, with a categorical omega coefficient = 0.72, although it should be noted that the average variance extracted (0.41) is below the recommended criterion of 0.5. Good associative validity is observed: r (200) = 0.4; p < 0.001. CONCLUSIONS: The Cognitive Reserve Questionnaire is an instrument with acceptable psychometric properties for use in an Argentinian population. More research is required to further investigate the low factor loadings of items 5 and 8 and to strengthen the evidence of reliability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".