Reliability, Validity and Factor Structure of Fitrah Scale
Bibliographic record
Abstract
Abstract Fitrah, in Islamic psychology, refers to the innate disposition or natural state with which humans are created. This concept encompasses the inherent qualities of purity, morality, and the instinctive inclination towards faith in God. Understanding and measuring fitrah is crucial as it plays a significant role in shaping individual behaviors and overall well-being. Despite its importance, there has been a lack of standardized tools to assess fitrah comprehensively. This study aims to standardize a self-report measure of fitrah with a theoretical and empirical foundation applicable to a diverse Muslim population across various contexts and rooted in the behavioral psychological tradition. The article described the development and preliminary psychometric properties (i.e., reliability and validity) of the Fitrah Scale, an 18-item measurement with a 5-factor structure comprising Beatitude, Moral Uprightness, Devoutness, Innate Goodness, and Faith in God. The Fitrah Scale has shown good content, factorial validity, and internal consistency reliability (i.e., Cronbach’s alpha).
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".