American Physical Therapy Association-Credentialed Clinical Instructors: A Survey Regarding Source of Motivation for Pursuing Credentialing
Bibliographic record
Abstract
Background and Purpose. The American Physical Therapy Association (APTA) promotes clinical education credentialing for clinical instructors (CIs) through the Clinical Instructor Education and Credentialing Program (CIECP). APTA reports that since the program's inception, 34,657 CIs have received Basic CIECP credentialing status, which represents less than half of APTA's membership, and an unknown percentage of non-APTA members. To date, it is not known what motivates CIs to pursue credentialing, or if the motivation is more intrinsically or extrinsically driven. The purpose of this study was to determine the source of the motivational factors for physical therapist CIs who have pursued credentialing by APTA. Subjects. The subjects included 2,209 APTA-credentialed physical therapist CIs distributed throughout the United States. Methods. A pilot form of the survey was used to gain feedback from local credentialed CIs to establish face and content validity. Credentialed CIs were sent an email link to a 3-section survey. The first section consisted of demographic questions, while the second section consisted of 7-point Likert scale questions pertaining to intrinsic versus extrinsic motivation for becoming credentialed. Finally, the last section was forced choice questions also pertaining to motivational factors. Repeated measures ANOVAs were used to compare all responses in section 2 between the intrinsic and extrinsic oriented questions, with paired t tests to determine specific question response differences. Results. Analysis revealed significant differences favoring intrinsic motivation. The 2 most significant intrinsic factors included contribution to the education of student physical therapists (SPTs) and professional development. Within the open-ended section of the survey more than 50% of the respondents reported intrinsic motivational reasons for becoming APTA Basic CIECP CIs. Discussion and Conclusion. Results from both the close-ended and forcedchoice questions demonstrate that the driving forces behind a CI obtaining APTA credentialing are intrinsic. The primary intrinsic motivators were professional development and personal satisfaction of helping educate students.
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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 | 0.005 | 0.013 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".