Factor structures of the Korean version of the Need for Cognition Scale Short Form (K-NfC-S) among Korean older adults
Bibliographic record
Abstract
Objectives This study examined the factor structure of the short-form Korean version of the Need for Cognition Scale (K-NfC-S) among older adults in South Korea.Method Drawn from the 2020 Korean Media Panel Study, a total of 2,281 adults aged 65 years and older were analysed. We measured the need for cognition using the 15-item K-NfC-S. The sample was randomly assigned to distinguish between Sample 1 (n = 1,117) for exploratory factor analysis (EFA) and Sample 2 (n = 1,164) for confirmatory factor analysis (CFA). We conducted EFA and CFA using SPSS version 26.0 and AMOS 26.Results EFA results showed that the K-NfC-S demonstrated a two-factor structure of positively and negatively phrased items. However, CFA results revealed that both the one-factor model with correlated uniqueness among positively phrased items (TLI = 0.945, CFI = 0.972, RMSEA = 0.051) and the one-factor model with only positively phrased items (TLI = 0.924, CFI = 0.939, RMSEA = 0.072) exhibited good fit.Conclusion The findings suggest that method effects may influence the factor structure of the K-NfC-S among older adults. This study highlights the importance of using appropriate methodological approaches for measuring the need for cognition, with implications for future research.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".