A Survival Guide For Health Research Methods


Book Description

This book ultimately aims to answer the questions students have about research in a no nonsense style and can be used as a guide to the main methodologies and tools used in the field.




Research Methods for Student Radiographers


Book Description

This book provides an holistic picture of the application of research in radiography and focuses on multivariant methodological approaches and practices. It will provide readers insight into both contemporary and innovative methods within radiography research, backed up with evidence-based literature. This book may also be translated into other health disciplines as it introduces research to the reader by detailing terms that can often be confusing for students. These remain central in understanding the importance of research in radiography and how the generation of new knowledge is obtained. This will be supported with subsequent chapters concerning the literature, formation of research questions and detail the early beginnings of a research proposal. Chapters will include a wide range of topics, such as quantitative and qualitative methodologies and data collection tools pertinent to radiographic research, whilst discussing data analysis and need for rigor. The authors draw from our experiences, published outputs and clinical work, supported with alternate philosophies and methods used in diagnostic radiography. Each chapter will examine the multifaceted use and application of each ‘sub-theme’ pertinent to research in radiography, which is presented in a single text for students and, perhaps, practitioners. The targeted audience for this book is interdisciplinary but clearly focuses on those studying undergraduate radiography in response to the limited texts available. We also anticipate it to provide a useful tool for academics delivering undergraduate radiography programmes and those supporting postgraduate research. The key features will: • explore important research approaches and concepts within diagnostic radiography • provide contemporary evidence-based practice regarding mixed method approaches • provide a ‘how to guide’ for understanding key research principles in a wide range of radiographic settings • evaluate the impact of research on patients and the radiographer–patient relationship Dr. Christopher Hayre is a Senior Lecturer in Diagnostic Radiography at Charles Sturt University in New South Wales, Australia. Dr. Xiaoming Zheng has been teaching medical radiation science courses at Charles Sturt University since 1998.




Quantitative Methods for Health Research


Book Description

Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.




Community-Based Participatory Research


Book Description

Community Based Participatory Research by Dr. Karen Hacker presents a practical approach to CBPR by describing how an individual researcher might understand and then actually conduct CBPR research. This how-to book provides a concise overview of CBPR theoretical underpinnings, methods considerations, and ethical issues in an accessible format interspersed with real life case examples that can accompany other methodologic texts in multiple disciplines.




Introduction to Health Research Methods


Book Description

A step-by-step guide to conducting research in medicine, public health, and other health sciences, this clear, practical, and straightforward text demystifies the research process and empowers students (and other new investigators) to conduct their own original research projects.




Health Research Methodology


Book Description




Public Health Research Methods


Book Description

Providing a comprehensive foundation for planning, executing, and monitoring public health research of all types, this book goes beyond traditional epidemiologic research designs to cover technology-based approaches emerging in the new public health landscape.




Longitudinal Data Analysis


Book Description

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.




Research Basics


Book Description

Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.




Introducing Survival and Event History Analysis


Book Description

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.