Sexual Violence Among Postsecondary Students: No Evidence that a Low Response Rate Biases Victimization or Perpetration Rates in a Well-Designed Climate Survey
Bibliographic record
Abstract
Purpose The purpose of this study was to assess the accuracy and representativeness of common census-sampled campus climate surveys given the potential for misestimating sexual violence (SV) rates on campuses due to low response rates and self-selection bias in research (mixed findings in previous research).Method We compared SV rates obtained from a census-sampled campus climate survey with a lottery draw (a common method for collecting campus SV data) with those obtained from a gender-stratified random sample survey with individual incentives.Results We found no evidence that census-sampled campus climate surveys misestimate SV: our low response rate census-sampled survey produced very similar rates to our high response rate random sample survey.Discussion and Conclusion Our research suggests that less costly and labor-intensive census-sampled surveys, when well-designed, produce sufficiently accurate and representative SV estimates on campuses despite their lower response rates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.106 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".