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With the emerging international consensus towards community care of the mentally ill, there comes a growing need for meaningful evaluation of services. Redressing the current lack of guidance this book describes how to do mental health service research. It comprehensively reviews the most recent developments in research design, method and measurement at the level of both whole service systems and individual programmes within mental health services. Each of the issues is adeptly illustrated with practical descriptions of comprehensive evaluation projects. The important advances already achieved in knowledge about effective services are highlighted along with descriptions of future work that will further develop our understanding of meeting patient requirements. This volume will appeal to all who are involved in mental health service research as well as those who make use of their results.• Written by a wide range of international experts in the field - European and American • Summarises state of art knowledge in the field • Ideal reference for trainees in mental health work • Points well illustrated by practical case examples

WM 30 Administrative psychiatry --- Research Design --- Community Mental Health Services --- Program Evaluation

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This practical text equips students, researchers, and policymakers in the social sciences with the tools they need for applying mixed methods in policy research and program evaluation, from design, through data collection, and dissemination. Emphasizing the “how-to”—the set of conceptual and active tasks carried out by mixed methods researchers—the book is illustrated with rich case studies from the authors’ own research projects in education and public policy. These examples help readers identify and explain policy and program impacts and better understand the “why” and “how” of observed effects. Throughout the book, the authors describe challenges that both beginners and advanced scholars are likely to encounter when doing mixed methods research and recommend practical tools available to address them.

Research methods --- Research Support --- Policy --- Program Evaluation --- H 62.A5-Z Social Sciences (General) - Study and teaching. Research - - General works

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Ce livre est consacré à un outil désormais incontournable pour l'analyse de données, l'élaboration de graphiques et le calcul statistique : le logiciel R. Après avoir introduit les principaux concepts permettant une utilisation sereine de cet environnement informatique (organisation des données, importation et exportation, accès à la documentation, représentations graphiques, programmation, maintenance, etc.), les auteurs de cet ouvrage détaillent l'ensemble des manipulations permettant la manipulation avec R d'un très grand nombre de méthodes et de notions statistiques : simulation de variables aléatoires, intervalles de confiance, tests d'hypothèses, valeur-p, bootstrap, régression linéaire, ANOVA (y compris répétées), et d'autres encore. Ecrit avec un grand souci de pédagogie et clarté, et agrémenté de nombreux exercices et travaux pratiques, ce livre accompagnera idéalement tous les utilisateurs de R - et ceci sur les environnements Windows, Macintosh ou Linux - qu'ils soient débutants ou d'un niveau avancé : étudiants, enseignants ou chercheurs en statistique, mathématique, médecine, informatique, biologie, psychologie, sciences infirmières, etc. Il leur permettra de maîtriser en profondeur le fonctionnement de ce logiciel. L'ouvrage sera aussi utile aux utilisateurs plus confirmés qui retrouveront exposées ici l'ensemble des fonctions R les plus couramment utilisées.

R (Computer program language) --- Statistics --- Computer Science --- Mathematical statistics --- QA 276.4 Mathematical statistics. Data processing --- Statistical methods --- statistics and numerical data [Subheading] --- Computational Statistics --- Handbooks --- Biometry

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Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data.Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings.This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R.

Machine learning --- R (Computer program language) --- #SBIB:303H4 --- GNU-S (Computer program language) --- Domain-specific programming languages --- Learning, Machine --- Artificial intelligence --- Machine theory --- Informatica in de sociale wetenschappen --- Data Collection --- Practice Guideline [Publication type] --- Computer Science --- QA 76.755 - Computer Software. Handbook

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Since Peter H. Rossi, Mark W. Lipsey, and Howard E. Freeman first published Evaluation: A Systematic Approach, more than 90,000 readers have considered it the premier text on how to design, implement, and appraise social programs through evaluation. In this, the completely revised Seventh Edition, authors Rossi and Lipsey include the latest techniques and approaches to evaluation as well as guidelines to tailor evaluations to fit programs and social contexts.This bestselling text covers the full range of evaluation topics, including- Framing evaluation questions- Uncovering program theory- Studying implementation- Designing impact assessments- Assessing program costs and benefits- Understanding the politics of evaluatingWith decades of hands-on experience conducting evaluations, the authors provide scores of examples to help students understand how evaluators deal with various critical issues. They include a glossary of key terms and concepts, making this the most comprehensive and authoritative evaluation text available.Thoroughly revised, the Seventh Edition now includes- Substantially more attention to outcome measurement- Lengthy discussions of program theory, including a section about detecting program effects and interpreting their practical significance- An augmented and updated discussion of major evaluation designs- A detailed exposition of meta-analysis as an approach to the synthesis of evaluation studies- Alternative approaches to evaluation- Examples of successful evaluations- Discussions of the political and social contexts of evaluation

Social costs. Social benefits --- Social policy --- Methods in social research (general) --- H 62.A1 Social Sciences (General) - Study and teaching. Research - - Periodicals. Societies. Serials --- Evaluation research (Social action programs) --- Program Evaluation --- Research --- Sciences sociales --- Recherche évaluative (programmes d'action sociale) --- Évaluation --- Recherche --- #SBIB:041.IO --- #SBIB:303H15 --- #SBIB:303H60 --- #SBIB:35H415 --- Evaluation of social action programs --- Evaluative research (Social action programs) --- Evaluation --- Social action --- Social sciences --- Social service --- Methoden en technieken van de bestuurswetenschappen --- Bijzondere methoden: algemeen --- Beleidscyclus: evaluatie --- Évaluation. --- Recherche.