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.

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.

This collection of field research narratives from veteran social and behavioral science researchers acknowledges the unpredictability of managing a project and candidly illustrates real-world problems and solutions. Unlike standard research methods texts, each chapter in this book has practical import for the researcher, ties together extant literature, and illustrates the issues with concrete examples from the authors' own experience. Chapters cover scenarios such as creating an interdisciplinary research team, hiring and training research staff and interviewers, developing the instrument, preparing data for analysis, navigating the IRB and ethical dilemmas, maintaining cultural sensitivity, evaluating the intervention, and disseminating results. Doctoral students, junior faculty, and research assistants will appreciate this insider's look at the reality of conducting a research project. Designed to supplement traditional textbooks on research methods, The Field Research Survival Guide will be an ideal addition to doctoral courses in departments of social work, psychology, psychiatry, and public health, and an indispensible field guide for those managing a research project. - An insider's guide to managing the reality of conducting a research project - Filled with straightforward advice from seasoned researchers - Chapter outlines summarize and map each scenario for quick reference - Addresses real-world research dilemmas candidly and knowledgeably

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.

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.

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.

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.

This guide to the essentials of doing participatory methods in a broad range of health contexts covers all of the stages of the research process, from research design right through to dissemination. With chapters from international contributors, each with many years’ experience using participatory qualitative approaches, it provides guidance on. - Ethical issues in Participatory Research - Designing and conduction Participatory Research projects - Data management and analysis - Researching with different populations - New technologies Packed full of up to date and engaging case studies, Participatory Qualitative Research Methodologies in Health offers a wide range of perspectives and voices on the practicalities and theoretical issues involved in conducting participatory research today. It is the ideal resource for students and researchers embarking upon a participatory research project.

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.