National Association of Psychometrists: 2015 professional practices and salary survey of U.S. and Canadian psychometrists
Bibliographic record
Abstract
OBJECTIVE: The National Association of Psychometrists (NAP) conducted a salary survey to collect data regarding common practices and income of individuals employed as psychometrists. METHODS: An email with a survey link was sent to NAP members and posted on the NAP website. There were 118 responses; most from the United States. RESULTS: Canadian data was excluded from compensation analysis due to imprecision in the survey/exchange rates. Most respondents reported full time employment. Respondents' educations were equally split between bachelor's and master's degrees. More than half reported hourly compensation. Most psychometrists see one patient a day and the most frequent age range was adults between 17-59 years old. Administration times ranged from 3-5 h, except in young pediatric populations. Two hours was the most commonly reported amount of time needed to score a test battery. The average hourly wage was $23.00 ± 4.96. Certified psychometrists reported higher average hourly wages (M = 24.57, SD = 4.73) compared to those who are not certified (M = 21.53, SD = 4.76). This difference was statistically significant (p < .001) with a medium effect size (d = .64). Results of the survey also showed a significant increase in income based on years of experience as a psychometrist. CONCLUSIONS: The current survey may be used as a baseline for further study of the income and practices of psychometrists in the United States and Canada.
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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 | 0.006 | 0.124 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".