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Author: Gareth Hagger-Johnson
Publisher: Routledge
ISBN: 1317674421
Category : Medical
Languages : en
Pages : 328
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Book Description
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.
Author: Gareth Hagger-Johnson
Publisher: Routledge
ISBN: 1317674421
Category : Medical
Languages : en
Pages : 328
Get Book Here
Book Description
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.
Author: Darren Langdridge
Publisher: Pearson Higher Ed
ISBN: 0273756885
Category : Psychology
Languages : en
Pages : 640
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Book Description
This third edition of Introduction to Research Methods and Data Analysis in Psychology provides you with a unique, balanced blend of quantitative and qualitative research methods. Highly practical in nature, the book guides you, step-by-step, through the research process and is underpinned by SPSS screenshots, diagrams and examples throughout.
Author: Kathryn H. Jacobsen
Publisher: Jones & Bartlett Publishers
ISBN: 1284094383
Category : Medical
Languages : en
Pages : 393
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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.
Author: Stephen Polgar
Publisher: Elsevier Health Sciences
ISBN: 0702046698
Category : Medical
Languages : en
Pages : 247
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Book Description
This popular textbook provides a concise, but comprehensive, overview of health research as an integrated, problem-solving process. It bridges the gap between health research methods and evidence-based clinical practice, making it an essential tool for students embarking on research. Practitioners also benefit from guidance on interpreting the ever-expanding published research in clinical and scientific journals, to ensure their practice is up to date and evidence-based and to help patients understand information obtained online. - Uses simple language and demystifies research jargon - Covers both quantitative and qualitative research methodology, taking a very practical approach - Gives examples directly related to the health sciences - Each chapter contains a self-assessment test so that the reader can be sure they know all the important points - Provides an extensive glossary for better understanding of the language of researchOnline interactive self-assessment tests: - Multiple choice questions - True or false questions - Short answer questions Log on to evolve.elsevier.com/Polgar/research and register to access the above assets.
Author: Ivy Bourgeault
Publisher: SAGE
ISBN: 1446248461
Category : Social Science
Languages : en
Pages : 788
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Book Description
The Sage Handbook of Qualitative Methods in Health Research is a comprehensive and authoritative source on qualitative research methods. The Handbook compiles accessible yet vigorous academic contributions by respected academics from the fast-growing field of qualitative methods in health research and consists of: - A series of case studies in the ways in which qualitative methods have contributed to the development of thinking in fields relevant to policy and practice in health care. - A section examining the main theoretical sources drawn on by qualitative researchers. - A section on specific techniques for the collection of data. - A section exploring issues relevant to the strategic place of qualitative research in health care environments. The Sage Handbook of Qualitative Methods in Health Research is an invaluable source of reference for all students, researchers and practitioners with a background in the health professions or health sciences.
Author: Samuel Shye
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Medical
Languages : en
Pages : 216
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Book Description
Using detailed examples, the authors introduce readers to the use of facet theory as a method for integrating content design with data analysis. They show how facet theory provides a strategy for conceptualizing a study, for formulating the study's variables in terms of its purposes, for systematic sampling of the variables and for formulating hypotheses. The first part of the book introduces mapping with specific emphasis on mapping sentences. Part Two explores procedures for processing multivariate data. In conclusion there is a discussion of the nature of scientific enquiry and the difference between research questions and observational questions.
Author: W. Newton Suter
Publisher: SAGE
ISBN: 1412995736
Category : Education
Languages : en
Pages : 529
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Book Description
W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance.
Author: Elizabeth DePoy
Publisher:
ISBN: 9780815109792
Category : Medical
Languages : en
Pages : 356
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Book Description
INTRODUCTION TO RESEARCH provides the reader with a foundation from which to critique and understand research designs and their applications to healthcare and human service settings. It is divided into four parts: Introduction, Thinking Processes, Design Approaches, and Action Processes. The text reflects a new school of thought that recognizes and values multiple research strategies. This perspective proposes that naturalistic and experimental-type research strategies have equal value and contribute in complementary and distinct ways to a science of practice. Knowledge of these different research traditions presents new opportunities for addressing the complex health-related research questions that are emerging in today's health and human service environments.
Author: Gareth Hagger-Johnson
Publisher: Routledge
ISBN: 1317674413
Category : Medical
Languages : en
Pages : 349
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Book Description
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.
Author: Tiffany Bergin
Publisher: SAGE
ISBN: 1526452316
Category : Social Science
Languages : en
Pages : 363
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Book Description
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.
