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Design, Evaluation, and Translation of Nursing Interventions
Nurse-led intervention research is a core component of the global initiative to improve quality of care. Though research in this area has already contributed much to the advancement of patient care, future strides depend on the dissemination of practical, how-to instruction on this important area of research. Design, Evaluation, and Translation of Nursing Interventions aids in this endeavour by presenting both general approaches and specific methods for developing nursing interventions. Logically organized to facilitate ease of use, the book is divided into four sections. The introduction provides a firm grounding in intervention science by situating it within the broader topics of evidence-...
When Research Goes Off the Rails
Few behavioral or health science studies proceed seamlessly. This refreshingly candid guide presents firsthand vignettes of obstacles on the bumpy road of research and offers feasible, easy-to-implement solutions. Contributors from a range of disciplines describe real-world problems at each stage of a quantitative or qualitative research project—from gaining review board approval to collecting and analyzing data—and discuss how these problems were resolved. A detailed summary chart helps readers quickly find material on specific issues, methods, and settings. Written with clarity and wit, the vignettes provide exemplars of critical thinking that researchers can apply when developing the operational plan of a study or when facing practical difficulties in a particular research phase. Winner--American Journal of Nursing Book of the Year Award!
Missing Data
While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.
Evaluating Nursing Interventions
At last, a book that offers not only an overall perspective of nursing interventions and outcome research but also theory-driven guidelines for future study. Evaluating Nursing Interventions provides researchers, clinicians, and students alike with a clear explanation of the problems encountered in effectiveness research and then proceeds to show how these studies can be undertaken reasonably and comprehensively.
Health Intervention Research
At a time when evidence-based practice is the standard bearer for understanding health behaviour, problems and interventions, ensuring that researchers know the appropriate designs and methods for their research is more paramount than ever. Health Intervention Research will equip those doing research in these communities with the knowledge and tools they need to inform their methodological decisions when planning and conducting studies. This book describes both commonly used (e.g., randomized clinical trials) and advanced (e.g. preference trials, pragmatic trials) designs and methods for health intervention research. It outlines the theoretical reasoning underlying these different approaches...
Diagnostic Measurement
This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using Mplus. The book's highly accessible lang...
Multilevel Analysis for Applied Research
This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical techniques they already know, Robert Bickel emphasizes the parallels with more familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results. He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers (or does not offer) methodological advantages over more traditional techniques. Over 300 dataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps.
Cosmopolitan Communications
Societies around the world have experienced a flood of information from diverse channels originating beyond local communities and even national borders, transmitted through the rapid expansion of cosmopolitan communications. For more than half a century, conventional interpretations, Norris and Inglehart argue, have commonly exaggerated the potential threats arising from this process. A series of firewalls protect national cultures. This book develops a new theoretical framework for understanding cosmopolitan communications and uses it to identify the conditions under which global communications are most likely to endanger cultural diversity. The authors analyze empirical evidence from both the societal level and the individual level, examining the outlook and beliefs of people in a wide range of societies. The study draws on evidence from the World Values Survey, covering 90 societies in all major regions worldwide from 1981 to 2007. The conclusion considers the implications of their findings for cultural policies.
Applied Meta-Analysis for Social Science Research
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ
Embracing the Fog of War
The unpredictable counterinsurgency environment challenges centralized, quantitative campaign assessment. A comprehensive examination of the centralized, quantitative approach to assessment, as described in the literature and doctrine and applied in two primary case studies (Vietnam and Afghanistan), reveals weaknesses and gaps and proposes an alternative process: contextual assessment.
