Clinical psychology trainees' research productivity and publications: An initial survey and contributing factors
Bibliographic record
Abstract
Abstract Clinical psychology research productivity is an issue of great professional concern. The current paper explores the rate and nature of trainee publication of research projects in peer‐reviewed journals, together with reasons likely to be relevant to its success and failure. Twenty‐one out of 28 courses responded to a survey composed of closed and open‐ended questions. Data were analysed using inferential statistics and content analysis. Twenty‐four percent of trainees in any one cohort during the period 1999–2004 successfully wrote up their research for publication. Most publications were in psychology journals with modest but respectable impact factors. The most important theme thought to be related to success was supervisor factors, followed by trainee factors, general course factors, study characteristics and the demands of a new job following qualification. Recommendations to enhance publication success are made within the context of a broader discussion of the importance of facilitating the development of the new generation of clinical psychology researchers. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.125 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".