THE PSYCHOMETRIC FEATURES OF THE QUIET EGO SCALE AND THE CONSTRUCT VALIDITY OF THE QUIET EGO
Bibliographic record
Abstract
The concept of quiet ego is conceived as a personal identity that transcends selfishness without ignoring personal interest at the same time. It is measured through a scale consisting of 14 items. The limited scope of research on this concept in psychological literature, as well as the absence of research for the Macedonian population, is the main motive for this research. This research aims to examine the psychometric properties of the Quiet Ego Scale and the validity of the construct of Quiet Ego (Quiet Ego Scale, Waymet, Bauer & Slaskia, 2014). Two studies were conducted for the purposes of the study. The first study is a correlational one, in which, in addition to the Quiet Ego Measurement Scale, instruments for measuring of narcissism (Narcissism Measurement Inventory, Raskin & Terry, 1988) and of empathy (Toronto Empathy Questionnaire, Spreng et al, 2009) are been set. In this study the analysis of the main components also take part. The results have shown that the Quiet Ego Scale has satisfactory internal homogeneity and a factor structure that confirms the theoretical solution of the construct, as well as a significant correlation with concepts similar and contrary to the researched concept. Using an experimental design, in the second study the levels of narcissism and empathy were manipulated (increased narcissism vs. reduced narcissism and increased empathy versus reduced empathy), in order to investigate the impact of different levels of narcissism and empathy on the level of quiet ego. The results of the second study confirmed the relationship between quiet ego, narcissism and empathy and justification for using the construct of the quiet ego.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".