Evaluation of an internet-based online-questionnaire administered to young adults
Bibliographic record
Abstract
The objective of this thesis was to assess the acceptance of an online-questionnaire in a survey of young adults in southern Germany. The online-questionnaire was implemented in a study of respiratory diseases. Each of 280 subjects, aged 18 to 20 years, was assigned randomly to one of two groups who responded using (1) a paper-based questionnaire and (2) an otherwise identical questionnaire that was to be completed on the Internet. This group also received a copy of the printed questionnaire. Only eight subjects made use of the online-questionnaire, and the remainder of the respondents used the paper-based instrument. The major reason given for not using the online-questionnaire was that subjects considered it too time-consuming (39.7%). Additionally, 27.0% of the subjects did not have access to the Internet at home. In conclusion, the acceptance of an Internet-based questionnaire by adolescents with an Internet coverage of about 60% may still be low.
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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 | 0.040 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".