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[null,"1.","Record Nr.",null,"UNINA9910812455703321"]
[null,null,"Autore",null,"Hong Guanglei"]
[null,null,"Titolo",null,"Causality in a social world : moderation, meditation and spill-over / / Guanglei Hong"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, England : , : Wiley, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-119-03063-3"]
[{"$nulls":4},"1-119-03060-9"]
[{"$nulls":4},"1-119-03064-1"]
[null,null,"Descrizione fisica",null,"1 online resource (1031 p.)"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Mathematical statistics"]
[{"$nulls":4},"Research - Methodology"]
[{"$nulls":4},"Statistics - Methodology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Cover; Table of Contents; Title page; Preface; Part I: OVERVIEW; 1 Introduction; 1.1 Concepts of moderation, mediation, and spill-over; 1.2 Weighting methods for causal inference; 1.3 Objectives and organization of the book; 1.4 How is this book situated among other publications on related topics?; References; 2 Review of causal inference concepts and methods; 2.1 Causal inference theory; 2.2 Applications to Lord's paradox and Simpson's paradox; 2.3 Identification and estimation; Appendix 2.1: Potential bias in a prima facie effect"]
[{"$nulls":4},"Appendix 2.2: Application of the causal inference theory to Lord's paradox References; 3 Review of causal inference designs and analytic methods; 3.1 Experimental designs; 3.2 Quasi-experimental designs; 3.3 Statistical adjustment methods; 3.4 Propensity score; Appendix 3.A: Potential bias due to the omission of treatment-by-covariate interaction; Appendix 3.B: Variable selection for the propensity score model; References; 4 Adjustment for selection bias through weighting; 4.1 Weighted estimation of population parameters in survey sampling"]
[{"$nulls":4},"4.2 Weighting adjustment for selection bias in causal inference 4.3 MMWS; Appendix 4.A: Proof of MMWS-adjusted mean observed outcome being unbiased for the population average potential outcome; "]
[{"$nulls":4},"Appendix 4.B: Derivation of MMWS for estimating the treatment effect on the treated; Appendix 4.C: Theoretical equivalence of MMWS and IPTW; Appendix 4.D: Simulations comparing MMWS and IPTW under misspecifications of the functional form of a propensity score model; References; 5 Evaluations of multivalued treatments; 5.1 Defining the causal effects of multivalued treatments"]
[{"$nulls":4},"5.2 Existing designs and analytic methods for evaluating multivalued treatments 5.3 MMWS for evaluating multivalued treatments; 5.4 Summary; Appendix 5.A: Multiple IV for evaluating multivalued treatments; References; Part II: MODERATION; 6 Moderated treatment effects: concepts and existing analytic methods; 6.1 What is moderation?; 6.2 Experimental designs and analytic methods for investigating explicit moderators; 6.3 Existing research designs and analytic methods for investigating implicit moderators"]
[{"$nulls":4},"Appendix 6.A: Derivation of bias in the fixed-effects estimator when the treatment effect is heterogeneous in multisite randomized trials Appendix 6.B: Derivation of bias in the mixed-effects estimator when the probability of treatment assignment varies across sites; Appendix 6.C: Derivation and proof of the population weight applied to mixed-effects models for eliminating bias in multisite randomized trials; References; 7 Marginal mean weighting through stratification for investigating moderated treatment effects; 7.1 Existing methods for moderation analyses with quasi-experimental data"]
[{"$nulls":4},"7.2 MMWS estimation of treatment effects moderated by individual or contextual characteristics"]
[null,null,null,"Sommario/riassunto","Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in"]
[null,"2.","Record Nr.",null,"UNINA9910915787203321"]
[null,null,"Autore",null,"Lee Nancy"]
[null,null,"Titolo",null,"Reducing Gun Deaths and Injuries : A Social Marketing Approach"]
[null,null,"Pubbl/distr/stampa",null,"Ethics Press, 2023"]
[{"$nulls":4},"Bradford : , : Ethics International Press Limited, , 2023"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"1-80441-095-0"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (267 pages)"]
[null,null,"Disciplina",null,"363.33"]
[null,null,"Soggetti",null,"Gun control"]
[{"$nulls":4},"Social marketing"]
[{"$nulls":4},"United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Foreword -- Prologue -- About the author -- 1. The facts - To inform and inspire -- 2. A social marketing approach - Behavior change for good -- 3. Gun owners - Storing guns safely to reduce youth/children gun suicides -- 4. Friends - Reaching out to someone who seems suicidal -- 5. Medical providers - Helping to reduce youth gun suicides -- 6. Upstanders - \"Say something\" to report warning signs a school shooting -- 7. School threat assessment teams - Identifying & intervening with potential shoooters -- 8. Heroic bystanders - Becoming first responders -- 9. Public event attendees - Having an exit plan -- 10. Communities - Reducing youth handgun carrying -- 11. Gang members - participating in group meetings -- 12. Neighbors - Greening abandoned vacant lots -- 13. Communities - Enhancing street lighting -- 14. Street outreach workers - Mediating conflicts & preventing retaliatory violence -- 15. Citizens - Advocating for change -- 16. Potential victims of domestic violence  homicides  - Getting help from mobile apps -- 17. Citizens who see something suspicious - Say something -- 18. Social media groups - Mitigating potential gun violence -- 19. Local governmental agencies - Distributing free gun locking devices -- 20. Governmental agencies - Offering monetary incentives for safe firearm storage -- 21. News reporters & journalists - Increasing public concern & inspiring action -- 22. Employers - Providing workplace safety programs -- 23. Highlights of case examples in this book - Facts, audiences, behaviors, interventions, "]
[{"$nulls":4},"application theories & principles."]
[null,null,null,"Sommario/riassunto","This book by Nancy R. Lee addresses the critical issue of gun violence in America through the lens of social marketing. It outlines a comprehensive strategy for reducing gun deaths and injuries by influencing behavior change across various segments of society. The book is structured into chapters focusing on different groups such as gun owners, medical providers, and communities, offering practical interventions and case studies. The author's goal is to inspire and inform readers about effective methods to mitigate gun violence using data-driven and community-based approaches. The intended audience includes policymakers, community leaders, social marketers, and individuals concerned with public safety."]