On Patterns of Refusals Conversion and Propensity of Converted Refusals to Respond at Later Waves in a Longitudinal Survey
Notice bibliographique
Résumé
When a selected sample member refuses to take part in a survey interview, the survey organization may not accept therefusal as a final outcome, but rather to make further attempts to convert the refusals into an interview. The aim of thisstudy was to investigate the pattern of refusals conversion and the propensity of the converted refusals to respond at laterwaves in a longitudinal survey. A two-stage stratified randon sampling scheme was used with households in Oyo as thesampling unit. A sample of 750 households were randomly selected from the community and sub-divided into five equalgroups with each group treated as a wave. The recording schedule was used to obtain information on demographic characteristicsincluding survey process, external environment, age, gender, educational qualification, religion, employmentstatus, family size, duration of interview and the type of questions. The data were collected through oral interview of thesubjects. Summary statistics were constructed to look at the patterns of conversion of refusals. Logistic model was fittedto investigate the propensity of converted refusals to respond at later waves following a conversion. At wave 1 of thesurvey, 109 house heads were interview in households with a response rates (in percentage) of 72.67.The interview periodwas an average of 8 minutes per house head. The response rate at wave 2, wave 3, wave 4 and wave 5 were 82, 81.33, 82and 80.67 respectively. Outcomes of a conversion attempt were a full interview and a proxy interview. Five house headswent through the conversion process at wave 1 and data were successfully collected on 2 of them (40%). All of them wereinterviewed again at wave 2 (100%). Those converted refusals at wave 1, 100% gave a full interview six months later. Forhouse heads who were converted between wave 1 and wave 5 continued to give full interviews at every wave up to wave5. For all other waves, the converted refusals participated throughout the survey. Logistic model showed that, those whowere converted to a full interview rather than proxy interview were the most likely to give a full interview at subsequentwave. When we included in the model, information on the wave in which the initial conversion was took place and thetime since conversion, we found that those whose initial conversions were in earlier and later waves were less likely togive a full interview compared with those were converted at wave 3. Adding demographic information suggested thatmale, people with their ages between ((30 − 50) years, respondents with primary education were likely to take part againfollowing a conversion.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,114 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».