Introduction To Research Methods And Data Analysis In The Health Sciences
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Introduction to Research Methods and Data Analysis in the Health Sciences
Whilst the ‘health sciences’ are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to appraise and conduct research is emphasised within the health sciences – and students are expected increasingly to do both. Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research – critical numbers, critical appraisal of existing research, and conducting new research – this accessible textbook introduces: Descriptive statistics Measures of association for categorical and continuous outcomes Confounding, effect modification, mediation and causal inference Critical appraisal Searching the literature Randomised controlled trials Cohort studies Case-control studies Research ethics and data management Dissemination and publication Linear regression for continuous outcomes Logistic regression for categorical outcomes. A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book’s exercises and activities. Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.
An Introduction to Data Analysis
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
Research Methods in the Social and Health Sciences
Research Methods in the Social and Health Sciences: Research Decisions, by Ted Palys and Chris Atchison, gives students a thorough, thoughtful, and highly readable introduction to the entire research process from start to finish. From its underlying premise that your research questions and objectives, rather than any specific method, should guide your research, this book discusses each step of the research process, from limiting the scope of a literature review to navigating ethical considerations to deciding which methods are best suited for finding answers to specific research questions to how to analyze data and present findings. Readers are encouraged to think deeply about each step of the research process. The book promotes this deliberation by discussing the strengths and limitations of different methods and. Throughout the process, the authors provide many examples from their own and student research, sharing insights for research decisions arising from that experience. Readers will develop the skills to create solid research questions, perform literature reviews, identify appropriate data sources and methods, conduct research, analyze and interpret data and translate the resulting knowledge generated from the research process to a wider audience– all core parts of the research process –by developing their knowledge and creating confidence in their own decision-making skills. After explaining the unique and often complementary strengths of qualitative and quantitative methods, students focus on what methods are best suited for finding answers to the research questions that interest them. Major types of research including experiments, case studies, surveys, quasi-experiments, ethnographies, focus groups, participatory action research, and archival studies all receive significant coverage. The text illustrates how these methods are enhanced by integrating them with 21st century technologies and combining them in mixed methods projects. Chapters on constructing a research proposal and disseminating research bookend the process with concrete steps in between to support students designing their own original research projects. Study questions at the end of each chapter encourage students to think critically about the research process and how the choices a researcher makes will broaden or constrain what they can find. By the end of the text, social and health science students will feel confident in undertaking ethical and thoughtful research.