Evaluation of a congregate retirement residence and housing preferences of prospective occupants
Notice bibliographique
Résumé
Due to the growing numbers of elderly people, the interest and concern with elderly housing has expanded.The situation of aged people in our modern society is unique.Most often, elderly people who are no longer healthy enough to live alone or no longer wish to maintain a residence must seek some sort of congregate housing.Different types of congregate housing are available -from retirement hotels to nursing homes.The two general purposes of this study were to determine: a) the factors which influence the propensity of an elderly person to move into retirement housing, and b) the features of a particular retirement facility that were important in predicting the satisfaction of pros- pective occupants with that facility.In addition, data concerning housing features preferences of the respondents were collected.This study dealt with a specific facility, called a retirement residence, which provided limited health, personal and social services.The follow- ing categories of variables, which were thought to be related to propensity to move were measured: a) demographic variables, b) respondent's satisfaction with the facility, and c) an index named the ideal resident index.This index was a deviation score computed for each respondent (potential user) which reflected the congruence between the respondent's actual demographic characterisitics and housing preferences, and the characteristics and preferences that the designers thought would be true of the users.The forty elderly people who participated in the study had all been visitors to the retirement residence under study.Questionnaires deal- ing with background information, housing preferences, reasons affecting the decision to move or stay and impressions of this particular retirement residence were mailed to respondents.Later, interviews employing visual displays were conducted with each respondent individually.The purpose of the interview was to a) gain information concerning the preferences of elderly with regard to physical appearance of facilities, b) get feedback on certain design features of this specific retirement residence, and c) to gather data about the respondents' expected usage of different spaces provided in the facility.A step-wise multiple regression analysis on propensity to move revealed that the ideal resident index was the most important predictor, while health and physical strength of the respondent was second most important.Together they accounted for 27.6 percent of the total vari- ance.Satisfaction with the facility was not significantly related to the propensity to move.A step-wise multiple regression analysis was also done on satis- faction with the facility.It was found that the most important factor in predicting satisfaction with the facility was satisfaction with the medical servcies provided at the facility.The second most important factor was a "convenience" factor composed of a) satisfaction with convenience of transportation facilities, b) satisfaction with con- venience of shopping facilities, and c) satisfaction with the amount of rent.Together, these two factors accounted for 47.3 percent of the total variance.with regard to housing preferences, some of the results were that most of our respondents a) did not want to live in a big city or sur- rounding suburb, b) preferred completely private bedrooms and bathrooms, c) wished to be located near shopping facilities and friends, d) thought that home medical care was important, and e) preferred one-story buildings.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».