The development and evaluation of a brief form of the Normative Male Alexithymia Scale (NMAS-BF).
Bibliographic record
Abstract
= 505 men) were from Amazon Mechanical Turk participants. First, dimensionality was reassessed using exploratory factor analysis, which supported the unidimensional structure. Second, based on these results, three 6-item models of the NMAS-Brief Form (NMAS-BF) were developed, based on classical test theory (CTT), CTT optimized to avoid item redundancy, and item response theory (IRT). Third, the relative fits of these versions were assessed using confirmatory factor analysis on a separate part of the sample, finding that the IRT version was the best fitting model. Fourth, evidence for reliability for the NMAS-BF items (α = .80) and validity was found. Convergent evidence for validity was supported by a significant, moderate, positive correlation between the latent constructs of the NMAS-BF and Toronto Alexithymia Scale-20 (TAS-20), which measures clinical alexithymia. Concurrent evidence for validity of the latent factor of the NMAS-BF was assessed in a structural regression model which found that the NMAS-BF uniquely predicted RE scores when TAS-20 scores were included in the model. Finally, incremental evidence for validity was examined using hierarchical multiple regression, finding that NMAS-BF scores significantly predicted variance in RE scores above and beyond that predicted by TAS-20 scores. The results are discussed in relation to prior literature, future research directions, applications to counseling practice, and limitations. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.002 | 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".