The Demographic Psychosocial Inventory:A New Instrument to Measure Risk Factors forAdjustment Problems Among Immigrants
Notice bibliographique
Résumé
Objective-The purpose of this study was to develop and test the Demographic Psychosocial Inventory (DPSI), a self-report questionnaire that assesses demographic and background characteristics of immigrants, and psychosocial risk factors of demoralization. Method-Based on a review of instruments used to study immigrants, and researchers' experience in this area, an 85-item questionnaire was developed that includes 10 scales and three general indices. Subjects are asked to indicate their level of satisfaction with various aspects of their lives, their reasons for immigration, and problems they had encountered since they immigrated. Results-DPSI (Demographic Psychological Inventory) was tested on 1,200 adult immigrants who came to Israel from the former USSR since 1989. The reliability of the scales and general indices was generally high as measured by Cronbaeh's Alpha. For one general index and two scales it was above .78, for one general index and two scales it was between .60 and .73, for one general index and two scales between.41 and .55, and for one scale .23. The general indices were highly correlated with the Psychiatric Epidemiology Research Interview Demoralization Scale (PERI-D) and the Brief Symptom Inventory (BSI). The results suggest that the greatest risk factors of demoralization are a greater number of distress sources, difficulty in dealing with conflict, greater discrepancy between actual difficulties encountered and those expected, and more reasons for immigration. The single most important variable in predicting a demoralization case was the number of distress sources. We developed DPSI cutting points for caseness based on comparisons to BSI and PERI-D. For the BSI, DPSI cutting points are .44 for males, and .48 for females. These cutting points recognize about 61% of those who are cases according to BSI, and about 72% of those who are not cases according to BSI. For the PERI-D, DPSI cutting points for caseness are .42 for males and .44 for females. These cutting points recognize about 63% of those who are demoralized according to PERI-D and about 68% of those who are not demoralized according to PERI-D. DPSI tends to recognize slightly more cases as being at risk of demoralization than those who are demoralized according to PERI-D, and slightly less than those identified as cases according to BSI. Conclusions-DPSI is a promising instrument for gathering demographic and background characteristics of immigrants, and for studying psychosocial risk factors for development of demoralization. DPSI is available in English, Hebrew, and Russian.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».