A Questionnaire for Assessing Community Health Nurses’ Learning Needs
Bibliographic record
Abstract
Learning needs assessment is an important stage of every educational process that aims to inform changes in practice and policy for continuing professional development. Professional competencies have been widely used as a basis for the development of learning needs assessment. The Canadian Community Health Nursing Standards of Practices (CCHN Standards) were released in 2003. However, it is not known whether community health nurses (CHNs) have the educational background to enable them to meet these standards. This article reports on the development of a learning needs assessment questionnaire for CHNs. Exploratory and confirmatory factor analyses were conducted to examine the consistency of factors underpinning the CCHN Standards. Also, validity and reliability of the questionnaire were evaluated using appropriate techniques. This process resulted in a valid and reliable CHN learning needs assessment questionnaire to measure learning needs of large groups of practitioners, where other forms of measurement cannot be feasibly conducted.
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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 | 0.058 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".