Predicting physical distancing in the context of COVID-19: A test of the extended parallel process model among Canadian adults.
Bibliographic record
Abstract
Le but de cette etude etait de tester le modele de processus parallele etendu (EPPM) dans le contexte du nouveau coronavirus (COVID-19) parmi un echantillon representatif de Canadiens Les intentions de suivre les recommandations du gouvernement, la distanciation physique et les reactions de controle de la peur (c -a-d les reactions negatives et defensives) ont ete predites a laide de l' EPPM (menace et efficacite percues) et de variables demographiques (âge, sexe et education) Les donnees ont ete recueillies a l'aide d'une enquete transversale en ligne realisee par une societe tierce d'etude de marche L'echantillon etaIt compose de 1 055 adultes (Âge median = 48,82, E -T - 16,66;51,2 % de femmes) Une regression multiple par variable dependante (c -a-d , les intentions de suivre les recommandations du gouvernement, la distanciation physique et les reactions de controle de la peur) a ete effectuee Certaines interactions bidirectionnelles et tridirectionnelles ont egalement ete incluses dans les modeles Les adultes plus âges, les femmes et les individus les plus instruits avaient generalement des intentions plus elevees, respectaient davantage la distanciation physique et affichaient des scores plus faibles au niveau des reactions de controle de la peur En outre, conformement a l'EPPM, le modele global suggerait que les personnes affichant des scores eleves pour la menace et l'efficacite percues avaient le profil le plus positif (intentions elevees, plus grand respect de la distanciation physique et reactions de controle de la peur moindres) L'efficacite percue etait un facteur predictif particulierement fort dans les analyses Nous recommandons que les interventions en sante publique ciblent les hommes, les jeunes et les moins instruits En outre, il est recommande que les interventions augmentent a la fois la menace et l'efficacite percues (en particulier l'efficacite) Bien que la conception etait transversale, il etait necessaire d'accelerer l'etude a un moment ou elle est cruellement necessaire Les recherches futures devraient confirmer nos conclusions en utilisant des modeles experimentaux Alternate abstract:The purpose of this study was to test the extended parallel process model (EPPM) in the context of the novel coronavirus disease (COVID-19) among a nationally representative sample of Canadians Intentions to follow government recommendations, physical distancing, and fear control responses (i e , negative and defensive reactions) were predicted using EPPM (perceived threat and efficacy) and demographic variables (age, gender, and education) Data were collected using a cross-sectional online survey through a third-party market research company The sample was composed of 1,055 adults (M age = 48 82, SD = 16 66;51 2% female) One multiple regression per dependent variable (i e , intentions to follow government recommendation, physical distancing, and fear control responses) was conducted Certain two-way and three-way interactions were also included in the models Older adults, females, and more educated individuals generally had higher intentions, engaged in more physical distancing, and had lower scores for fear control responses Also, consistent with the EPPM the overall paltem suggested that people with high scores for both perceived threat and efficacy had the most positive profile (high intentions and physical distancing and low fear control) Perceived efficacy was a particularly strong predictor in analyses We recommend that public health interventions target males, younger people, and those who are less educated Furthermore, it is recommended that interventions increase both perceived threat and efficacy (especially efficacy) Although the design was cross-sectional, it was necessary to expedite the study in a time when it is sorely needed Future research should confirm our findings using experimental designs
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; 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".