Which survey questions change behavior? Randomized controlled trial of mere measurement interventions.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Evidence indicates that receiving a questionnaire about a behavior increases the likelihood that the person will perform that behavior--a phenomenon termed the mere measurement effect. This research tested the role of (a) the type of questions, and (b) questionnaire completion in optimizing the impact of mere measurement interventions designed to retain novice blood donors. DESIGN: Novice blood donors (N = 4391) were randomly allocated to four conditions that varied the content of a questionnaire about blood donation (behavioral intention-only, behavioral intention plus regret, implementation intention-only, implementation intention plus regret) or to a no-questionnaire control condition. MAIN OUTCOME MEASURES: Objective measures of registration at blood drives were obtained at 6 and 12 months postbaseline. RESULTS: Participants in the implementation intention-only condition donated more frequently at 6 months compared to participants in each of the other conditions. At 12 months both implementation intention conditions outperformed the other conditions. Implementation intentions increased the frequency of donations over 1 year by 12%. Measuring anticipated regret did not augment the impact of interventions whereas questionnaire completion had an important impact on donation behavior. CONCLUSION: Questions about implementation intentions but not behavioral intentions promote retention of novice blood donors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.002 |
| 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) | 0.001 | 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 it