The psychosocial inventory of ego strengths: Examination of theory and psychometric properties
Bibliographic record
Abstract
The psychosocial inventory of ego strengths (PIES) was devised as a measure of Erikson's eight ego strengths. The present investigation extended previous research through examination of the validity and reliability of the PIES among 502 high school students. The study also included an appraisal of Erikson's ego strengths as indices of psychosocial well-being. Reliability of the subscales of the PIES was shown through acceptable Cronbach's alphas. As expected, higher scores on ego strengths were positively correlated with psychosocial indictors of identity achievement, self-esteem, locus of control, empathic concern, perspective-taking, and positive forms of coping. Lower scores on ego strengths were related to less desirable psychosocial constructs. Biological sex and age differences also are reported. Based on the findings, the study offers validation of psychosocial theory. As well, the PIES is recommended for use among high school students.
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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".