Introduction to Research Methods and Data Analysis in the Health Sciences

Author: Gareth Hagger-Johnson

Publisher: Routledge

ISBN: 1317674413

Category: Medical

Page: 328

View: 3856

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 in the Health Sciences

Author: Stephen Polgar,Shane A. Thomas

Publisher: Elsevier Health Sciences

ISBN: 0702041947

Category: Medical

Page: 235

View: 7814

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.

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: 8910

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.

Introduction to Health Research Methods

Author: Kathryn H. Jacobsen

Publisher: Jones & Bartlett Publishers

ISBN: 1284094383

Category: Medical

Page: 376

View: 7200

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.

Intensive Longitudinal Methods

An Introduction to Diary and Experience Sampling Research

Author: Niall Bolger,Jean-Philippe Laurenceau

Publisher: Guilford Press

ISBN: 1462506925

Category: Psychology

Page: 256

View: 2560

This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).

Qualitative Research in the Health Sciences

Methodologies, Methods and Processes

Author: Bev Taylor,Karen Francis

Publisher: Routledge

ISBN: 1135039674

Category: Medical

Page: 298

View: 9720

There is a growing interest in, and acceptance of, qualitative research approaches in the health science disciplines, both as standalone methodologies and integrated with quantitative designs in mixed methods approaches. This comprehensive text provides deeper knowledge and application of a wide range of methodologies, methods and processes, enabling readers to develop their qualitative research skills. Divided into two parts, focusing first on methodologies and then on methods and processes, the text also includes revision of essential aspects of quantitative research as they apply to mixed methods research and a discussion of the uptake of qualitative research in the health sciences. The methodologies covered include: Grounded Theory; Historical Research; Ethnography; Phenomenology; Narrative Inquiry; Case Study Research; Critical Ethnography; Action Research and Mixed Methods. The methods and processes covered include: Interviewing and Analysis; Group Work and Analysis; Narrative Analysis; Discourse Analysis. Using accessible language to help extend readers’ practical research skills, this is a thorough and reliable text to guide advanced students and researchers from all health-related disciplines – including nursing, midwifery, public health and physiotherapy – to the best use of qualitative research.

Introduction to Qualitative Research Methods

A Guidebook and Resource

Author: Steven J. Taylor,Robert Bogdan,Marjorie DeVault

Publisher: John Wiley & Sons

ISBN: 1118767306

Category: Psychology

Page: 416

View: 6094

An informative real-world guide to studying the "why" of human behavior Introduction to Qualitative Research Methods is a practical, comprehensive guide to the collection and presentation of qualitative data. Unique in the market, this book describes the entire research process — from design through writing — illustrated by examples of real, complete qualitative work that clearly demonstrates how methods are used in actual practice. This updated fourth edition includes all new case studies, with additional coverage of mixed methods, non-sociological settings, funding, and a sample interview guide. The studies profiled are accompanied by observation field notes, and the text includes additional readings for both students and instructors. More than just theory, this guide is designed to give you a real-world practitioner's view of how qualitative research is handled every step of the way. Many different disciplines rely on qualitative research as a method of inquiry, to gain an in-depth understanding of human behavior and the governing forces behind it. Qualitative research asks "why" and "how," and the data is frequently complex and difficult to measure. This book shows you how to effectively handle qualitative work, regardless of where it's being applied. Understand the strengths and limitations of qualitative data Learn how experts work around common methodological issues Compare actual field notes to the qualitative studies they generated Examine the full range of qualitative methods throughout the research process Whether you're studying sociology, psychology, marketing, or any number of other fields, especially in the social and behavioral sciences, human behavior is the central concern of your work. So what drives human behavior? That's what qualitative research helps to explain. Introduction to Qualitative Research Methods gives you the foundation you need to begin seeking answers.

Qualitative Research in Health

An Introduction

Author: Carol Grbich

Publisher: SAGE

ISBN: 9781446235010

Category: Medicine

Page: 320

View: 6339

Qualitative Research in Health offers a comprehensive and practical introduction to the main theories and methods of qualitative research for the health sciences.

Statistics for the Health Sciences

A Non-Mathematical Introduction

Author: Christine Dancey,John Reidy,Richard Rowe

Publisher: SAGE

ISBN: 1446291235

Category: Social Science

Page: 584

View: 6042

Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.

Public Health Research Methods

Author: Greg Guest,Emily E. Namey

Publisher: SAGE Publications

ISBN: 148332222X

Category: Social Science

Page: 832

View: 7368

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.

Single-Case Research Methods for the Behavioral and Health Sciences

Author: David L. Morgan,Robin K. Morgan

Publisher: SAGE Publications

ISBN: 1483317099

Category: Social Science

Page: 280

View: 4558

This text ntroduces readers to the history, epistemology, and strategies of single-case research design. The authors offer concrete information on how to observe, measure, and interpret change in relevant outcome variables and how to design strategies that promote causal inferences. Key Features Includes case vignettes on specific single-case designs Describes clinical and applied case studies Draws on multiple examples of single-case designs from published journals across a wide range of disciplines Covers recent developments in applied research, including meta-analysis and the distinction between statistical and clinical significance Provides pedagogical tools to help readers master the material, including a glossary, interim summaries, end-of-chapter review questions, and activities that encourage active processing of material. Intended Audience This text is intended for students and practitioners in a variety of disciplines—including psychology, nursing, physical therapy, and occupational therapy—who are increasingly called upon to document the effectiveness of interventions.

Longitudinal Data Analysis

A Practical Guide for Researchers in Aging, Health, and Social Sciences

Author: Jason Newsom,Richard N. Jones,Scott M. Hofer

Publisher: Routledge

ISBN: 1136705473

Category: Psychology

Page: 405

View: 4857

First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

Data Analysis for Omic Sciences: Methods and Applications

Author: N.A

Publisher: Elsevier

ISBN: 0444640452

Category: Science

Page: 730

View: 3486

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more. Presents the best reference book for omics data analysis Provides a review of the latest trends in transcriptomics and metabolomics data analysis tools Includes examples of applications in research fields, such as environmental, biomedical and food analysis

Research Methods for Health Care Practice

Author: Frances Griffiths

Publisher: SAGE

ISBN: 1446244784

Category: Social Science

Page: 224

View: 1045

Many health professionals want to investigate their health care practice and how it could be improved to benefit their patients. This book introduces the range of research approaches available, and explains what can be achieved with different methods and how they can compliment each other. Research Methods for Health Care Practice guides the researcher through their journey, giving detailed, step-by-step advice on planning and carrying out each stage of the research. Useful examples from health care research are included throughout to illustrate the application of the techniques and methods discussed. The book provides discussion of all the key issues and stages of research, including: - user involvement in research - research ethics - deciding on a research approach - data collection and analysis methods Research Methods for Health Care Practice is ideal for professionals wanting to undertake research in their own health care setting, and will be of use to any students undertaking a research project as part of their course in health and related fields.

Missing Data

A Gentle Introduction

Author: Patrick E. McKnight,Katherine M. McKnight,Souraya Sidani,Aurelio Jos‚ Figueredo

Publisher: Guilford Press

ISBN: 1606238205

Category: Social Science

Page: 251

View: 4173

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.

Missing Data

Analysis and Design

Author: John W. Graham

Publisher: Springer Science & Business Media

ISBN: 1461440181

Category: Social Science

Page: 324

View: 6196

Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data analysis solutions are available, but practical information about implementation of these solutions has been lacking. The objective of Missing Data: Analysis and Design is to enable investigators who are non-statisticians to implement modern missing data procedures properly in their research, and reap the benefits in terms of improved accuracy and statistical power. Missing Data: Analysis and Design contains essential information for both beginners and advanced readers. For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems. For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided. The author lays out missing data theory in a plain English style that is accessible and precise. Most analysis described in the book are conducted using the well-known statistical software packages SAS and SPSS, supplemented by Norm 2.03 and associated Java-based automation utilities. A related web site contains free downloads of the supplementary software, as well as sample empirical data sets and a variety of practical exercises described in the book to enhance and reinforce the reader’s learning experience. Missing Data: Analysis and Design and its web site work together to enable beginners to gain confidence in their ability to conduct missing data analysis, and more advanced readers to expand their skill set.

Introduction to Research

Understanding and Applying Multiple Strategies

Author: Elizabeth DePoy,Laura N. Gitlin

Publisher: Elsevier Health Sciences

ISBN: 0323261728

Category: Medical

Page: 416

View: 7120

Bridge the gap between research and practice with Introduction to Research: Understanding and Applying Multiple Strategies, 5th Edition. This easy-to-read edition covers all the major research design strategies: qualitative, quantitative, naturalistic, experimental-type, and mixed method. And with the text’s up-to-date research information and references, you will have a solid foundation from which to critique and understand research designs and their applications to healthcare and human service settings. Case examples provide real-life snapshots of what it is like to participate in different types of research processes, identify research dilemmas relevant to chapter subjects, and alert you to problems you might encounter. Authors make the topics more accessible, so research becomes more relevant - and topics come to life. Covers experimental-type, naturalistic, and mixed method design strategies to improve your ability to compare, contrast, and integrate different methods. Presents complex information clearly in a highly readable, and easy-to-understand, manner. Includes detailed discussions of qualitative and quantitative methodologies, a unique and balanced focus that makes this text more comprehensive than others in its field. NEW! Up-to-date research methods, strategies, and references, like digital sources, visual methods, and geographical analysis, give you the latest information on research in diverse areas of health and human services.

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences

Author: William E. Wagner, III,Brian Joseph Gillespie

Publisher: SAGE Publications

ISBN: 1544321090

Category: Social Science

Page: 232

View: 9068

Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences by William E. Wagner, III and Brian J. Gillespie is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

Applied Statistics for the Social and Health Sciences

Author: Rachel A. Gordon

Publisher: Routledge

ISBN: 0415875366

Category: Mathematics

Page: 742

View: 7752

Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/