Introduction to Research Methods and Data Analysis in the Health Sciences

Author: Gareth Hagger-Johnson

Publisher: Routledge

ISBN: 1317674413

Category: Medical

Page: 310

View: 7801

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.

Introduction to Research Methods and Data Analysis in Psychology

Author: Darren Langdridge,Gareth Hagger-Johnson

Publisher: Pearson Education

ISBN: 9780131982031

Category: Psychology

Page: 558

View: 9294

This is a comprehensive introduction to research methods and data analysis. The book assumes no previous knowledge of research methods or psychology and provides an accessible and jargon-free way into this frequently difficult topic area.

Introduction to Research in the Health Sciences E-Book

Author: Stephen Polgar,Shane A. Thomas

Publisher: Elsevier Health Sciences

ISBN: 0702050164

Category: Medical

Page: 344

View: 6641

Like the previous versions, the fifth edition of An Introduction to Research in the Health Sciences has two overall aims. 1) To introduce the fundamental principles of research methodology and explain how these principles are applied for conducting research in the health sciences. 2) To demonstrate how evidence produced through research is applied to solving problems in everday health care. This book is written in an accessible style. It maintains the traditions of the previous editions, with examples, questions, feedback sections, and an extensive glossary. Uses simple language and demystifies the jargon Provides built-in feedback for readers to assess their own progress Gives examples relating directly to the health sciences Provides an extensive glossary for better understanding of the language of research Addresses qualitative as well as quantitative research issues Includes a chapter focussing on the use of qualitative methods in health research Includes a chapter for discussing systematic reviews and meta-analyses Contains more revision questions Increased emphasis throughout on evidence based concepts More and updated discussion of qualitative research methods New section on basic epidemiological concepts as a research approach More discussion of analysis and use of administrative and secondary data sets as research resources Complete rewrite of the chapter on causal research Stronger links between the sections on different stages of research

Introduction to Research in the Health Sciences

Author: Stephen Polgar,Shane A. Thomas

Publisher: Elsevier Health Sciences

ISBN: 0702041947

Category: Medical

Page: 235

View: 8795

The sixth edition of this book has two overall aims: to introduce the fundamental principles of research methodology and explain how these principles are applied for conducting research in the health sciences and to demonstrate how evidence produced through research is applied to solving problems in everday health care.

Introduction to Health Research Methods

Author: Kathryn H. Jacobsen

Publisher: Jones & Bartlett Publishers

ISBN: 076378334X

Category: Health & Fitness

Page: 287

View: 8949

From best-selling author of Introduction to Global Health, Introduction to Health Research Methods demystifies the research process and empowers students (and other new investigators) to conduct their own original research projects. Using clear language and practical examples, the text has five sections that describe the entire research process beginning with the identification of a research question and the selection of a study approach, proceeding through the collection and analysis of data and the preparation of a formal scientific report, and ending with academic and professional presentations and publishing. By breaking the research process down into manageable steps, Introduction to Health Research Methods communicates the excitement and importance of health research—and encourages readers to make their own contribution to improving the health of individuals and communities through research. Key features: • A step-by-step guide to conducting research in medicine, public health, and other health sciences • For classroom use or for guiding independent work on scholarly projects • Covers the entire research process from identifying a study question and selecting a study approach to collecting and analyzing data to disseminating the findings • Includes detailed information about how to conduct primary studies (collection of new data), secondary analyses (analysis of existing data), and tertiary studies (literature reviews) • Weaves elements of research ethics throughout the book

Methods and Applications of Statistics in the Life and Health Sciences

Author: N. Balakrishnan

Publisher: John Wiley & Sons

ISBN: 0470405090

Category: Mathematics

Page: 986

View: 4105

"Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics."--Publisher's description.

Introduction to Research and Medical Literature for Health Professionals

Author: Adjunct Associate Professor Department of Physician Assistant Studies School of Health Professions UT Health Science Center San Antonio J Glenn Forister,Distinguished Teaching Professor (Retired) Department of Physician Assistant Studies and Dean (Retired) School of Health Professions UT Health Science Center San Antonio San Antonio Texas J Dennis Blessing

Publisher: Jones & Bartlett Publishers

ISBN: 1284090140

Category:

Page: 248

View: 2709

Introduction to Research and Medical Literature for Health Professionals, Fourth Edition is an essential resource to help students, faculty, and practitioners understand the research process, interpret data, comprehend results, and incorporate findings into practice. From choosing a research project and developing the research process design, to systematically gathering information, analyzing, interpreting data, differentiating among conflicting results, and finally understanding the overall evaluation, Introduction to Research and Medical Literature for Health Professionals, Fourth Edition will help students and practitioners develop research skills to acquire and contribute knowledge that benefits their patients.

Public Health Research Methods

Author: Greg Guest,Emily E. Namey

Publisher: SAGE Publications

ISBN: 148332222X

Category: Social Science

Page: 832

View: 5649

Public Health Research Methods, edited by Greg Guest and Emily Namey, provides a comprehensive foundation for planning, executing, and monitoring public health research of all types. The book goes beyond traditional epidemiologic research designs to cover state-of-the-art, technology-based approaches emerging in the new public health landscape. Written by experts in the field, each chapter includes a description of the research method covered, examples of its application in public health, clear instructions on how to execute the method, and a discussion of emerging issues and future directions. In addition, each chapter addresses the topic in the context of global health and health disparities. Such breadth provides readers with practical tools they can use in the field, as well as a current understanding of conceptual discussions. Illustrated with engaging case studies that enhance understanding of the concepts presented, Public Health Research Methods is a comprehensive, must-have reference ideal for researchers in all sectors—government, academia, and non-profit.

Introduction to Statistical Time Series

Author: Wayne A. Fuller

Publisher: John Wiley & Sons

ISBN: 0470317752

Category: Mathematics

Page: 728

View: 3375

The subject of time series is of considerable interest, especially among researchers in econometrics, engineering, and the natural sciences. As part of the prestigious Wiley Series in Probability and Statistics, this book provides a lucid introduction to the field and, in this new Second Edition, covers the important advances of recent years, including nonstationary models, nonlinear estimation, multivariate models, state space representations, and empirical model identification. New sections have also been added on the Wold decomposition, partial autocorrelation, long memory processes, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material, especially on elementary results in Fourier analysis, large sample statistics, and difference equations, has been included.

Applied Biostatistics for the Health Sciences

Author: Richard J. Rossi

Publisher: John Wiley & Sons

ISBN: 0470147644

Category: Mathematics

Page: 648

View: 4222

Biostatistics is quickly becoming one of the most important areas of statistics due to the tremendous increase in health care needs. This book successfully introduces the terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal for practitioners as well as students going into health care fields. Pedagogical features include formulas highlighted in text boxes and chapter summaries that highlight key vocabulary and concepts for the chapter. An accompanying Web site provides both MINITAB® and Microsoft® Office Excel® data files data for the case studies and exercises that are contained in the text.

An Introduction to Statistical Analysis in Research

With Applications in the Biological and Life Sciences

Author: Kathleen F. Weaver,Vanessa C. Morales,Sarah L. Dunn,Pablo F. Weaver,Kanya Godde

Publisher: John Wiley & Sons

ISBN: 1119299683

Category: Mathematics

Page: 616

View: 4332

Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical analysis while providing readers with opportunities to practice these skills via research-based data sets in biology, kinesiology, and physical anthropology. Readers are provided with a detailed introduction and orientation to statistical analysis as well as practical examples to ensure a thorough understanding of the concepts and methodology. In addition, the book addresses not just the statistical concepts researchers should be familiar with, but also demonstrates their relevance to real-world research questions and how to perform them using easily available software packages including R, SPSS®, Excel®, and Numbers®. Specific emphasis is on the practical application of statistics in the biological and life sciences, while enhancing reader skills in identifying the research questions and testable hypotheses, determining the appropriate experimental methodology and statistical analyses, processing data, and reporting the research outcomes. In addition, this book: • Aims to develop readers’ skills including how to report research outcomes, determine the appropriate experimental methodology and statistical analysis, and identify the needed research questions and testable hypotheses • Includes pedagogical elements throughout that enhance the overall learning experience including case studies and tutorials, all in an effort to gain full comprehension of designing an experiment, considering biases and uncontrolled variables, analyzing data, and applying the appropriate statistical application with valid justification • Fills the gap between theoretically driven, mathematically heavy texts and introductory, step-by-step type books while preparing readers with the programming skills needed to carry out basic statistical tests, build support figures, and interpret the results • Provides a companion website that features related R, SPSS, Excel, and Numbers data sets, sample PowerPoint® lecture slides, end of the chapter review questions, software video tutorials that highlight basic statistical concepts, and a student workbook and instructor manual An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences is an ideal textbook for upper-undergraduate and graduate-level courses in research methods, biostatistics, statistics, biology, kinesiology, sports science and medicine, health and physical education, medicine, and nutrition. The book is also appropriate as a reference for researchers and professionals in the fields of anthropology, sports research, sports science, and physical education. KATHLEEN F. WEAVER, PhD, is Associate Dean of Learning, Innovation, and Teaching and Professor in the Department of Biology at the University of La Verne. The author of numerous journal articles, she received her PhD in Ecology and Evolutionary Biology from the University of Colorado. VANESSA C. MORALES, BS, is Assistant Director of the Academic Success Center at the University of La Verne. SARAH L. DUNN, PhD, is Associate Professor in the Department of Kinesiology at the University of La Verne and is Director of Research and Sponsored Programs. She has authored numerous journal articles and received her PhD in Health and Exercise Science from the University of New South Wales. KANYA GODDE, PhD, is Assistant Professor in the Department of Anthropology and is Director/Chair of Institutional Review Board at the University of La Verne. The author of numerous journal articles and a member of the American Statistical Association, she received her PhD in Anthropology from the University of Tennessee. PABLO F. WEAVER, PhD, is Instructor in the Department of Biology at the University of La Verne. The author of numerous journal articles, he received his PhD in Ecology and Evolutionary Biology from the University of Colorado.

Research Methods for Clinical Therapists E-Book

Applied Project Design and Analysis

Author: Carolyn M. Hicks

Publisher: Elsevier Health Sciences

ISBN: 0702041882

Category: Medical

Page: 408

View: 1987

Struggling to do a project or dissertation, evaluate published research or conduct your own research? Help is at hand with this 5th edition of Research Methods for Clinical Therapists, which explains, in a clear and simple manner, how to evaluate existing research and how to conduct your own research. Aimed at undergraduate and postgraduate students, as well as the practising health care professional, the focus of the text is the design and analysis of experimental studies. These are vital to the effectiveness studies that are central to the work of the healthcare professional. Specific examples from different areas of healthcare are used to explain the core research concepts and relate them to clinical situations. Statistical theory and jargon are kept to a minimum. 'Key concept' boxes to explain technical research terms Activities and exercises (with answers provided in an appendix) to reinforce learning Sample critique of a published research article Comprehensive coverage of the key components of a robust research study Explanation of basic mathematical concepts Extended section on calculating sample sizes Guidelines on the preparation of posters Calculation of Inter-rater reliability measures, including Cohen’s Kappa, ICC (interclass correlation) and Bland-Altman graphs of inter-rater agreement Introduction to Receiver Operating Characteristics, for use in screening and diagnostic testing against gold-standards The Thurstone Paired Comparison Technique, valuable in capturing the user voice on a variety of service planning, design and development issues Undertaking Systematic Reviews Relevant further reading for each chapter to support readers in their work.

Qualitative Research in Health Care

Author: Catherine Pope,Nicholas Mays

Publisher: John Wiley & Sons

ISBN: 111870312X

Category: Medical

Page: 168

View: 3536

This fully revised and updated edition of Qualitative Researchin Health Care offers a clear and accessible introduction toconducting and interpreting qualitative research, incorporating newexamples, references and chapters relevant for a comprehensiveintroduction to the subject. New chapters and references include: Synthesising qualitative research Secondary analysis of primary data Ethical issues Mixed research methods and integrating qualitative withquantitative techniques Consensus and other methods for eliciting public andprofessional views and preferences Conversation analysis

Statistics in Food Science and Nutrition

Author: Are Hugo Pripp

Publisher: Springer Science & Business Media

ISBN: 1461450098

Category: Technology & Engineering

Page: 66

View: 5914

Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical sciences, and are rarely thought to be driven by food science. Consequently, there is a dearth of statistical methods aimed specifically at food science, forcing researchers to utilize methods intended for other disciplines. The objective of this Brief will be to highlight the most needed and relevant statistical methods in food science and thus eliminate the need to learn about these methods from other fields. All methods and their applications will be illustrated with examples from research literature. ​

Nonparametric Statistics with Applications to Science and Engineering

Author: Paul H. Kvam,Brani Vidakovic

Publisher: John Wiley & Sons

ISBN: 9780470168691

Category: Mathematics

Page: 448

View: 2668

A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provided throughout the book. Complete with exercise sets, chapter reviews, and a related Web site that features downloadable MATLAB applications, this book is an essential textbook for graduate courses in engineering and the physical sciences and also serves as a valuable reference for researchers who seek a more comprehensive understanding of modern nonparametric statistical methods.

Advances in Statistical Methods for the Health Sciences

Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis

Author: Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs

Publisher: Springer Science & Business Media

ISBN: 9780817645427

Category: Mathematics

Page: 540

View: 5808

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

Introduction to Research - E-Book

Understanding and Applying Multiple Strategies

Author: Elizabeth DePoy,Laura N. Gitlin

Publisher: Elsevier Health Sciences

ISBN: 0323291074

Category: Medical

Page: 384

View: 6385

Bridge the gap between research and practice with DePoy and Gitlin's Introduction to Research: Understanding and Applying Multiple Strategies, 4th Edition. This completely updated, user-friendly text helps you better understand not only the research process, but also research designs and their applications to the real world of clinical practice. Covering multiple research strategies (including both qualitative and quantitative research), it gives you a balanced approach to various research traditions, addressing emerging key issues in today's health care environment. Offers a balanced approach to various research methods and multiple research strategies, including qualitative, quantitative, naturalistic and experimental-type, and more. Presents complex information in a clear, highly readable, and easy-to-understand manner. Keeps information relevant to today's health care environment with real-world "snapshots" and a final Stories from the Field chapter. Includes detailed discussions of qualitative and quantitative methodologies, a unique and balanced focus that makes this text more comprehensive than others in its field. Covers experimental-type, naturalistic, and mixed method design strategies, improving your ability to compare, contrast, and integrate different methods. Evolve online resources include statistics math tips to accompany Chapter 19, crossword puzzles, useful weblinks, and sample forms. Reflects recent changes in the field, including new material on preparing poster presentations, community and participatory research, translation issues, and advanced scale development, giving you the tools you need to devise successful research studies. Includes expanded evidence-based material and occupational therapy-specific information, discussing the methods used in each study.

Using Statistics in the Social and Health Sciences with SPSS and Excel

Author: Martin Lee Abbott

Publisher: John Wiley & Sons

ISBN: 111912106X

Category: Social Science

Page: 600

View: 5207

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.

Biostatistics

A Methodology For the Health Sciences

Author: Gerald van Belle,Lloyd D. Fisher,Patrick J. Heagerty,Thomas Lumley

Publisher: John Wiley & Sons

ISBN: 0471602353

Category: Medical

Page: 896

View: 5564

A respected introduction to biostatistics, thoroughly updated andrevised The first edition of Biostatistics: A Methodology for the HealthSciences has served professionals and students alike as a leadingresource for learning how to apply statistical methods to thebiomedical sciences. This substantially revised Second Editionbrings the book into the twenty-first century for today’saspiring and practicing medical scientist. This versatile reference provides a wide-ranging look at basicand advanced biostatistical concepts and methods in a formatcalibrated to individual interests and levels of proficiency.Written with an eye toward the use of computer applications, thebook examines the design of medical studies, descriptivestatistics, and introductory ideas of probability theory andstatistical inference; explores more advanced statistical methods;and illustrates important current uses of biostatistics. New to this edition are discussions of Longitudinal data analysis Randomized clinical trials Bayesian statistics GEE The bootstrap method Enhanced by a companion Web site providing data sets, selectedproblems and solutions, and examples from such current topics asHIV/AIDS, this is a thoroughly current, comprehensive introductionto the field.

A Concise Introduction to Mixed Methods Research

Author: John W. Creswell

Publisher: SAGE Publications

ISBN: 1483359050

Category: Social Science

Page: 152

View: 6298

John W. Creswell’s A Concise Introduction to Mixed Methods Research is a brief overview of mixed methods research that takes readers through the essential steps in planning and designing a study. Rather than offering an extensive treatment of mixed methods, this concise book offers individuals in the social, behavioral, and health sciences a foundation for understanding mixed methods methodology. Practical for use in workshops, seminars, global webinars, and as a supplementary text in undergraduate and graduate classes, Creswell’s book is ideal for the beginner or the more advanced researcher looking for a quick primer in mixed methods, by an authoritative mixed methods scholar.