Vision, Interpersonal Orientation and Personal Values in Elementary School Principals
Bibliographic record
Abstract
This study looked at possible relationships which exist between three personal characteristics variables believed to be associated with effective leadership in elementary schools. The three variables were (1) Principal Vision, (2) Principal Interpersonal Orientation and, (3) Principal Personal Values. The relationship between selected teacher, principal and school demographic variables and teacher's perceptions of their principal's vision was also explored. Data were collected from 51 principals and 841 teachers in elementary schools from 10 school districts in the Portland, Salem and Vancouver metropolitan areas. Teachers were asked to score their perceptions of their principal's vision on the School Vision Inventory. The principal was also asked to complete the Mach V interpersonal orientation scale, the Profile of Life Values and, his/her predictions of teachers responses on the School Vision Inventory. Data were analyzed by using one or more of the following statistical tests: MANOVA; ANOVA; Chi-square; and Pearson Product Moment Correlation. The major conclusions are: (1) principals perceived teachers to be less positive than they in fact were in their perceptions of the principal's ability to encourage others to make personal sacrifices to accomplish the principal's vision; (2) male teachers perceive that their principals include them more in the vision building process than do female teachers; (3) teachers younger than 26 were less positive in their perceptions of their principal's Internalization and tended to be less positive on other scales; (4) principals communicate their vision more effectively with those teachers who are in their first year with their current principal than any other group for vision exchange, sacrifice and total vision; (5) school and principal demographics have little impact on teacher perceptions of principal vision; (6) principals value being sensitive to the needs of others more than any of the other personal values and they value artistic expression the least; (7) with the exception of the Artistic values, male and female principals are relatively similar in their personal values; (8) principal vision and personal values are moderately related; and (9) the relationship of interpersonal orientation of the principal to teacher perceptions of principal vision is not statistically significant.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".