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Titlebook: Optimization of Behavioral, Biobehavioral, and Biomedical Interventions; Advanced Topics Linda M. Collins,Kari C. Kugler Book 2018 Springer

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发表于 2025-3-21 19:14:32 | 显示全部楼层 |阅读模式
书目名称Optimization of Behavioral, Biobehavioral, and Biomedical Interventions
副标题Advanced Topics
编辑Linda M. Collins,Kari C. Kugler
视频video
概述Contributed chapters cover statistical analysis, adaptive interventions and real-world implementation examples.Makes formal optimization of behavioral and biobehavioral interventions easy to implement
丛书名称Statistics for Social and Behavioral Sciences
图书封面Titlebook: Optimization of Behavioral, Biobehavioral, and Biomedical Interventions; Advanced Topics Linda M. Collins,Kari C. Kugler Book 2018 Springer
描述.Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities.  These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement.  .This book provides additional information on a principled empirical framework for developing interventions that are more effective, efficient, economical, and scalable.  This framework is introduced in the monograph, "Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)" by Linda M. Collins (Springer, 2018).  The present book is focused on advanced topics related to MOST.   The chapters, all written by experts, are devoted to topics ranging from experimental design and data analysis to development of a conceptual model and implementation of a complex experiment in the field. Intervention scientists who are preparing to apply MOST will find this book an important reference and guide for their research.  Fields to which
出版日期Book 2018
关键词Behavioral and biobehavioral interventions; BBI; Intervention; Adaptive intervention; Statistical analys
版次1
doihttps://doi.org/10.1007/978-3-319-91776-4
isbn_softcover978-3-030-06296-5
isbn_ebook978-3-319-91776-4Series ISSN 2199-7357 Series E-ISSN 2199-7365
issn_series 2199-7357
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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发表于 2025-3-21 23:14:25 | 显示全部楼层
Implementing Factorial Experiments in Real-World Settings: Lessons Learned While Engineering an Optpackages. MOST helps researchers understand intervention component effects and how these components can best be combined into an optimized treatment package and then evaluated. However, researchers may be discouraged by the perceived challenges of optimization trials. Our research team has considera
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Multilevel Factorial Designs in Intervention Development,l, and biomedical interventions. Clustering presents various challenges to investigators aiming to implement such designs. Clustering means that some or all individuals are nested in higher-level social or administrative units (e.g., schools, therapy groups). These multilevel settings generate depen
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Coding and Interpretation of Effects in Analysis of Data from a Factorial Experiment,nalysis of variance (ANOVA) with balanced (i.e., an equal number of subjects in each experimental condition) factorial designs. Using a hypothetical example of a 2. factorial experiment, we present these two coding schemes for categorical independent variables and explain how the effects estimated c
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Optimizing the Cost-Effectiveness of a Multicomponent Intervention Using Data from a Factorial Expes one important quality that a researcher interested in the multiphase optimization strategy (MOST) may wish to optimize. However, further research is needed about how to best incorporate cost information into the analysis of factorial experiments typically used during the optimization phase of MOST
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,Investigating an Intervention’s Causal Story: Mediation Analysis Using a Factorial Experiment and Mention caused the observed outcome. Methods are needed to investigate the extent to which changes in the outcome are due to exposure to an intervention. This chapter describes the use of a factorial experiment in which an intervention’s components are varied, the mediating mechanisms and outcome are
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Kari C. Kugler,David L. Wyrick,Amanda E. Tanner,Jeffrey J. Milroy,Brittany Chambers,Alice Ma,Kate M. zu Methoden der empirischen Forschung am Fachbereich Erziehungswissenschaften der Goethe-Universität in Frankfurt am Main teilgenommen hatten. Diese Gruppe aus vorerst neun, später elf Studierenden wird im Folgenden als „Steuerungsgruppe“ bezeichnet; die Mitglieder der Steuerungsgruppe sollten in d
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