Understanding and Conducting Research in the Health Sciences

Designing and Conducting Research in Health and Human Performance shows students how to become effective producers and consumers of health and human performance research. The book provides comprehensive coverage of both quantitative and qualitative research methods and includes step-by-step guidance for writing effective research proposals and theses. In addition, the authors show how to read, assess, interpret, and apply published research and how to conduct basic studies in health, physical education, exercise science, athletic training, and recreation. Designing and Conducting Research in Health and Human Performance is filled with illustrative examples that emphasize the real-world applications of research methods. Throughout, the authors draw on a variety of examples that were selected because they provide a context to further the understanding of health and human performance research. Research to Practice examples and Tips are included by the authors to help students better appreciate the book's content. These study aids provide suggestions and additional resources to assist students in understanding the research process. Key Terms, defined and highlighted, enrich each chapter. Chapter Review Questions, designed to help students comprehend and follow best practices in research methods, close each chapter. Online resources and guides developed by the authors to support and enhance students' learning of important research concepts are available.

This edited book is divided into three parts: Fundamentals of Medical and Health Sciences Modeling and Simulation introduces modeling and simulation in the medical and health sciences; Medical and Health Sciences Models provides the theoretical underpinnings of medical and health sciences modeling; and Modeling and Simulation Applications in Medical and Health Sciences focuses on teaching, training, and research applications. The book begins with a general discussion of modeling and simulation from the modeling and simulation discipline perspective. This discussion grounds the reader in common terminology. It also relates this terminology to concepts found in the medical and health care (MHC) area to help bridge the gap between developers and MHC practitioners. Three distinct modes of modeling and simulation are described: live, constructive, and virtual. The live approach explains the concept of using real (live) people employing real equipment for training purposes. The constructive mode is a means of engaging medical modeling and simulation. In constructive simulation, simulated people and simulated equipment are developed to augment real-world conditions for training or experimentation purposes. The virtual mode is perhaps the most fascinating as virtual operating rooms and synthetic training environments are being produced for practitioners and educators at break-neck speed. In this mode, real people are employing simulated equipment to improve physical skills and decision-making ability.

The industry standard guide, updated with new ideas and SPSS analysis techniques Designing and Conducting Survey Research: A Comprehensive Guide Fourth Edition is the industry standard resource that covers all major components of the survey process, updated to include new data analysis techniques and SPSS procedures with sample data sets online. The book offers practical, actionable guidance on constructing the instrument, administrating the process, and analyzing and reporting the results, providing extensive examples and worksheets that demonstrate the appropriate use of survey and data techniques. By clarifying complex statistical concepts and modern analysis methods, this guide enables readers to conduct a survey research project from initial focus concept to the final report. Public and nonprofit managers with survey research responsibilities need to stay up-to-date on the latest methods, techniques, and best practices for optimal data collection, analysis, and reporting. Designing and Conducting Survey Research is a complete resource, answering the «what», «why», and «how» every step of the way, and providing the latest information about technological advancements in data analysis. The updated fourth edition contains step-by-step SPSS data entry and analysis procedures, as well as SPSS examples throughout the text, using real data sets from real-world studies. Other new information includes topics like: Nonresponse error/bias Ethical concerns and special populations Cell phone samples in telephone surveys Subsample screening and complex skip patterns The fourth edition also contains new information on the growing importance of focus groups, and places a special emphasis on data quality including size and variability. Those who employ survey research methods will find that Designing and Conducting Survey Research contains all the information needed to better design, conduct, and analyze a more effective survey.

A comprehensive guide to understanding and auditing modern information systems The increased dependence on information system resources for performing key activities within organizations has made system audits essential for ensuring the confidentiality, integrity, and availability of information system resources. One of the biggest challenges faced by auditors is the lack of a standardized approach and relevant checklist. Understanding and Conducting Information Systems Auditing brings together resources with audit tools and techniques to solve this problem. Featuring examples that are globally applicable and covering all major standards, the book takes a non-technical approach to the subject and presents information systems as a management tool with practical applications. It explains in detail how to conduct information systems audits and provides all the tools and checklists needed to do so. In addition, it also introduces the concept of information security grading, to help readers to implement practical changes and solutions in their organizations. Includes everything needed to perform information systems audits Organized into two sections—the first designed to help readers develop the understanding necessary for conducting information systems audits and the second providing checklists for audits Features examples designed to appeal to a global audience Taking a non-technical approach that makes it accessible to readers of all backgrounds, Understanding and Conducting Information Systems Auditing is an essential resource for anyone auditing information systems.

Designing and Conducting Health Surveys is written for students, teachers, researchers, and anyone who conducts health surveys. This third edition of the standard reference in the field draws heavily on the most recent methodological research on survey design and the rich storehouse of insights and implications provided by cognitive research on question and questionnaire design in particular. This important resource presents a total survey error framework that is a useful compass for charting the dangerous waters between systematic and random errors that inevitably accompany the survey design enterprise. In addition, three new studies based on national, international, and state and local surveys—the UNICEF Multiple Indicator Cluster Surveys, California Health Interview Survey, and National Dental Malpractice Survey—are detailed that illustrate the range of design alternatives available at each stage of developing a survey and provide a sound basis for choosing among them.

This comprehensive book celebrates the coming of age of narrative in health care. It uses narrative to go beyond the patient's story and address social, cultural, ethical, psychological, organizational and linguistic issues. This book has been written to help health professionals and social scientists to use narrative more effectively in their everyday work and writing. The book is split into three, comprehensive sections; Narratives, Counter-narratives and Meta-narratives.

A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design: Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table Analysis Procedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causation Designs of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code. Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.

Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS® and Excel® applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS® and Excel® includes: • Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings • Inclusion of a data lab section in each chapter that provides relevant, clear examples • Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS® and Excel® for analyzing data. Martin Lee Abbott, PhD, is Professor of Sociology at Seattle Pacific University, where he has served as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill & Melinda Gates Foundation. Dr. Abbott has held positions in both academia and industry, focusing his consulting and teaching in the areas of statistical procedures, program evaluation, applied sociology, and research methods. He is the author of Understanding Educational Statistics Using Microsoft Excel® and SPSS®, The Program Evaluation Prism: Using Statistical Methods to Discover Patterns, and Understanding and Applying Research Design, also from Wiley.

A comprehensive introduction to research methods and best practices for designing,conducting, interpreting, and reporting findings This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results. Recognized leaders in the field—authors Bart Weathington, Christopher Cunningham, and David Pittenger—present: Introductions to multiple research designs—including single-participant, multi-group, longitudinal, correlational, and experimental designs—accompanied by examples Bibliographic research and methods for appropriate sampling Identifying, developing, and evaluating reliable and valid approaches to measurement The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association A comprehensive review of research methods and the statistical concepts that support them, Research Methods for the Behavioral and Social Sciences offers the best techniques for studying behavior and social phenomena.

Here is a 'must-read' for all health promotion researchers and practitioners eager to stay one step ahead of the pack. A panoply of insightful and promising new approaches is presented for consideration and exploration in our contemporary behavioral science arsenal. – M. Elaine Auld, MPH, CHES, Chief Executive Officer, Society for Public Health Education «This book is an essential addition to the health practice and research literature, concentrating on theories that have not been extensively covered elsewhere and that have great currency. It provides an up-to-date rendition on the interplay among contemporary public health concerns, sound public health practice, and the theoretical bases for practice.»– Robert M. Goodman, PhD, MPH, Dean and Professor, School of Health, Physical Education, and Recreation, Indiana University «The authors of Emerging Theories provide vivid descriptions of the state of the science in health promotion and presents an exciting map for future research. Understanding and using theories is the hallmark of an excellent practitioner. Creating and elaborating theories is the mark of an excellent researcher. This text will be very valuable for both.» – Noreen M. Clark, PhD, Myron E. Wegman Distinguished University Professor; Director, Center for Managing Chronic Disease, University of Michigan «Emerging Theories captures the dynamic growth in theories of health promotion and illustrates how divergent theoretical perspectives are being integrated into richer explanatory and practice models.» – Matthew W. Kreuter, PhD, MPH, Professor of Social Work and Medicine; Director, Health Communication Research Laboratory, Washington University in St. Louis