Psychometric Performance of the Memory Complain Scale among Colombian Individuals of 60 Years and Older
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: The Memory Complaint Scale (MCS-15) is a 15-item instrument to explore frequent forgetfulness in daily life in people with possible cognitive impairment. However, knowledge about its psychometric performance is limited. OBJECTIVE: The objective of this study was to know the dimensionality and internal consistency of the MCS-15 in Colombian older adults. METHODS: A probabilistic sample of 1,957 older adults from the general Colombian population was taken, aged between 60 and 98 years (mean = 71.0 ± 7.9), and 62.2% were women. Internal consistency (Cronbach's alpha and McDonald's omega) and dimensionality (exploratory and confirmatory factor analysis) were calculated for the original and ten-item versions. RESULTS: The 15-item version showed Cronbach's alpha and McDonald's omega of 0.91, and one dimension accounted for 45.3% of the variance. A version of ten items showed Cronbach's alpha and McDonald's omega of 0.89 and a single factor that explained 50.9% of the variance with better indicators in the confirmatory factor analysis. Convergence with the shortened Mini-Mental State Examination was rs = 0.43 (p < 0.001), and the Montreal Cognitive Assessment test was rs = 0.38 (p < 0.001). The nomological validity with the geriatric depression scale was rs = 0.44 (p < 0.001), and women scored higher than men (p < 0.001). CONCLUSIONS: The MCS-15 shows high internal consistency with poor dimensionality. However, a ten-item version shows high internal consistency and a clear one-dimensional structure. More research is needed: testing the performance against a structured interview for major cognitive impairment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it