Book Review: Mental Health Research: Health Measurement Scales: A Practical Guide to Their Development and Use. Fourth Edition
Notice bibliographique
Résumé
Health Measurement Scales: A Practical Guide to Their Development and Use. Fourth Edition David L Streiner, Geoffrey R Norman. New York (NY): Oxford University Press, Ine; 2008. 43 1 p. Can$59.95 Reviewer rating: Excellent Mental Health Research Mental health researchers need to measure things (symptom severity, quality of life, and clinical competence) that are inherently difficult to measure. Fortunately, education researchers and social scientists have been grappling with many of the same issues for decades. Health Measurement Scales: A Practical Guide to Their Development and Use by David Streiner and Geoffrey Norman brings much of this experience with measurement research into focus for health researchers. The emphasis of this book is on health measurement scales - not specifically on those concerned with mental health. However, almost all of the content in this book is relevant to measurement in psychiatric research. The target audience is health researchers, broadly defined. The book has been prepared primarily as a practical guide to the development of rating scales. The title also refers to the use of health measurement scales. The information contained within it will be of assistance for readers who need to evaluate literature supporting various measurement strategies and to use measurement scales in research projects. There is no intention to cover issues related to the use of measurement scales in clinical practice. Consistent with this, the book is organized to approximately follow the process of developing a new instrument from its very beginning (is a new scale needed at all?) to topics such as item development and selection, core topics such as reliability and validity, methods of administration, research ethics and standards for publishing studies that assess measurements scales (for example, Standards for Reporting of Diagnostic Accuracy, STARD). The book is not a compendium of scales, nor does it contain detailed reviews or recommendations about specific instruments. The focus is mostly on the conceptual and methodological underpinnings of health measurement and related consequences for scale development. The book is rich with computational equations but it does not delve deeply into their mathematical basis (an appendix with further reading is provided). This allows the book to maintain a middle ground, avoiding both the inaccessibility of much of the methodologically oriented psychometric literature and the naivety of the how-to chapters in software manuals and related sources. This is not to say that the book does not provide practical tools. …
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 | 0,016 | 0,001 |
| 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 | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».