Analysis of the Rasch model on the development of quarter life crisis measurements
Bibliographic record
Abstract
A quarter life crisis is a condition in which individuals experience an identity crisis due to their inability to face the transition from adolescence to adulthood. The quarter life crisis phase causes negative feelings in the form of anxiety, failure, helplessness, fear, and even depression. Quarter-life crises in individuals can be identified through psychological measurements. However, the currently available quarter life crisis measurement toolcannot provide maximum results. This is because most of the psychological measuring tools were developed with classical test theory. The Rasch model is here to overcome the shortcomings of classical theory tests. The main objective of this research is to develop a quarter life crisis measurement tool using the Rasch model. The sampling technique used in this research is accidental sampling. In this study, the subjects involved were early adults aged 18-25 years, totaling 507 participants. Data analysis in this study used the Rasch model with the Winsteps program. Based on the results of the analysis, 29 items fit the model of 35 items. The resulting Cronbach alpha is 0.89 with an item reliability coefficient of 0.99 and a person coefficient of 0.87. Overall, it can be concluded that the measuring instrument for the quarter life crisis is valid and has good psychometric properties so that it can be used to measure the quarter life crisis in individuals.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".