Receipt of Travel Survey Advance Letter and Its Impact on Reported Trips and Number of Phone Calls for Survey Completion in Telephone Surveys
Bibliographic record
Abstract
Research is conducted into the effect the receipt of a travel survey advance letter, sent as part of a household travel survey, has on the person trips reported by a household’s survey respondent for each household member and on the number of phone calls made to a household to successfully complete the survey using two data sets collected in household travel surveys conducted in the Greater Toronto Area in 2001 and 2006. The results of the statistical analysis of the data led to the conclusion that not receiving the survey advance letter resulted in survey respondents significantly underreporting the trips made by their respective household members. The underreporting varied with trip purpose, with home-based mandatory trips not being underreported while home-based discretionary and non-home-based trips were significantly underreported. Additionally, households not receiving the survey advance letter required significantly more phone calls to complete the survey compared to households that received the letter.
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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 | 0.060 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".