Embracing life's challenges: Developing a tool for assessing resilient mindset in second wave positive Psychology
Bibliographic record
Abstract
The purpose of this study is to develop and validate the Resilient Mindset Scale (RMS), a brief tool designed to measure resilient mindset among Turkish individuals. Additionally, the study aims to explore the relationship between resilient mindset and mental well-being among adolescents and young adults, providing further evidence in this domain. The exploratory factor analysis, conducted with a sample of 327 participants, revealed that the RMS has a unidimensional structure consisting of six items that effectively measure core indicators of a resilient mindset. Subsequent confirmatory factor analysis, conducted with a sample of 338 participants, confirmed the one-factor structure, demonstrating a good-data model fit with strong factor loadings and internal reliability estimates. Further analyses demonstrated moderate to strong correlations between resilient mindset and mental well-being indicators. Moreover, the latent variables path model revealed that the measurement model had a moderate to strong predictive effect on positive academic functioning, psychological well-being, and psychological distress. These findings establish the psychometric reliability and validity of the RMS as a measurement tool for assessing a resilient mindset among adolescents and young adults. Mental health providers can integrate the concept of a resilient mindset into therapeutic approaches and interventions to foster resilience and enhance mental well-being.
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 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) | 0.001 | 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".