Research: Design, Execution, and Publication
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												  Jackson: Choosing a Methodology: Philosophical UnderpinningJACKSON: CHOOSING A METHODOLOGY: PHILOSOPHICAL UNDERPINNING Choosing a Methodology: Philosophical Practitioner Research Underpinning In Higher Education Copyright © 2013 University of Cumbria Vol 7 (1) pages 49-62 Elizabeth Jackson University of Cumbria [email protected] Abstract As a university lecturer, I find that a frequent question raised by Masters students concerns the methodology chosen for research and the rationale required in dissertations. This paper unpicks some of the philosophical coherence that can inform choices to be made regarding methodology and a well-thought out rationale that can add to the rigour of a research project. It considers the conceptual framework for research including the ontological and epistemological perspectives that are pertinent in choosing a methodology and subsequently the methods to be used. The discussion is exemplified using a concrete example of a research project in order to contextualise theory within practice. Key words Ontology; epistemology; positionality; relationality; methodology; method. Introduction This paper arises from work with students writing Masters dissertations who frequently express confusion and doubt about how appropriate methodology is chosen for research. It will be argued here that consideration of philosophical underpinning can be crucial for both shaping research design and for explaining approaches taken in order to support credibility of research outcomes. It is beneficial, within the unique context of the research, for the researcher to carefully
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												  Applications of Systems Engineering to the Research, Design, AndApplications of Systems Engineering to the Research, Design, and Development of Wind Energy Systems K. Dykes and R. Meadows With contributions from: F. Felker, P. Graf, M. Hand, M. Lunacek, J. Michalakes, P. Moriarty, W. Musial, and P. Veers NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Technical Report NREL/TP-5000-52616 December 2011 Contract No. DE -AC36-08GO28308 Applications of Systems Engineering to the Research, Design, and Development of Wind Energy Systems Authors: K. Dykes and R. Meadows With contributions from: F. Felker, P. Graf, M. Hand, M. Lunacek, J. Michalakes, P. Moriarty, W. Musial, and P. Veers Prepared under Task No. WE11.0341 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory Technical Report NREL/TP-5000-52616 1617 Cole Boulevard Golden, Colorado 80401 December 2011 303-275-3000 • www.nrel.gov Contract No. DE-AC36-08GO28308 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof.
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												  Choosing a Mixed Methods Design04-Creswell (Designing)-45025.qxd 5/16/2006 8:35 PM Page 58 CHAPTER 4 CHOOSING A MIXED METHODS DESIGN esearch designs are procedures for collecting, analyzing, interpreting, and reporting data in research studies. They represent different mod- R els for doing research, and these models have distinct names and procedures associated with them. Rigorous research designs are important because they guide the methods decisions that researchers must make dur- ing their studies and set the logic by which they make interpretations at the end of studies. Once a researcher has selected a mixed methods approach for a study, the next step is to decide on the specific design that best addresses the research problem. What designs are available, and how do researchers decide which one is appropriate for their studies? Mixed methods researchers need to be acquainted with the major types of mixed methods designs and the common variants among these designs. Important considerations when choosing designs are knowing the intent, the procedures, and the strengths and challenges associated with each design. Researchers also need to be familiar with the timing, weighting, and mixing decisions that are made in each of the different mixed methods designs. This chapter will address • The classifications of designs in the literature • The four major types of mixed methods designs, including their intent, key procedures, common variants, and inherent strengths and challenges 58 04-Creswell (Designing)-45025.qxd 5/16/2006 8:35 PM Page 59 Choosing a Mixed Methods Design–●–59 • Factors such as timing, weighting, and mixing, which influence the choice of an appropriate design CLASSIFICATIONS OF MIXED METHODS DESIGNS Researchers benefit from being familiar with the numerous classifications of mixed methods designs found in the literature.
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												  Evolution of Clinical Trials Throughout HistoryEvolution of clinical trials throughout history Emma M. Nellhaus1, Todd H. Davies, PhD1 Author Affiliations: 1. Office of Research and Graduate Education, Marshall University Joan C. Edwards School of Medicine, Huntington, West Virginia The authors have no financial disclosures to declare and no conflicts of interest to report. Corresponding Author: Todd H. Davies, PhD Director of Research Development and Translation Marshall University Joan C. Edwards School of Medicine Huntington, West Virginia Email: [email protected] Abstract The history of clinical research accounts for the high ethical, scientific, and regulatory standards represented in current practice. In this review, we aim to describe the advances that grew from failures and provide a comprehensive view of how the current gold standard of clinical practice was born. This discussion of the evolution of clinical trials considers the length of time and efforts that were made in order to designate the primary objective, which is providing improved care for our patients. A gradual, historic progression of scientific methods such as comparison of interventions, randomization, blinding, and placebos in clinical trials demonstrates how these techniques are collectively responsible for a continuous advancement of clinical care. Developments over the years have been ethical as well as clinical. The Belmont Report, which many investigators lack appreciation for due to time constraints, represents the pinnacle of ethical standards and was developed due to significant misconduct. Understanding the history of clinical research may help investigators value the responsibility of conducting human subjects’ research. Keywords Clinical Trials, Clinical Research, History, Belmont Report In modern medicine, the clinical trial is the gold standard and most dominant form of clinical research.
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												  3 Research Philosophy and Research DesignResearch Philosophy 3 and Research Design Introduction In the introductory chapter, developing self-awareness was a key pro- cess outlined and it was stated that it is possible you have assumed that the way you view the world is the same as the way that everybody else views the world. The term ‘common sense’ was used in this discussion. We noted then, you could believe it is common sense that the way you look at the world is the same way that others look at it. However, we also saw earlier that one person’s common sense is not necessarily the same as another’s! If we accept that there are likely to be differences between people’s view of the world, it may not come as a surprise that the way some researchers view the world, is very different from other’s views. Research philosophies The idea that there are different views of the world, and the processes that operate within it, is part of what is known as philosophy. Philosophy is concerned with views about how the world works and, as an academic subject, focuses, primarily, on reality, knowledge and existence. Our individual view of the world is closely linked to what we perceive as reality. On a day-to-day basis outside of your academic work, it would be unusual to think often about the way you perceive reality and the world around you. However, in relation to your dissertation, it is very important to realise how you perceive reality. Your individual percep- tion of reality affects how you gain knowledge of the world, and how you act within it.
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												  U.S. Investments in Medical and Health Research and Development 2013 - 2017 Advocacy Has Helped Bring About Five Years of Much-Needed Growth in U.SFall 2018 U.S. Investments in Medical and Health Research and Development 2013 - 2017 Advocacy has helped bring about five years of much-needed growth in U.S. medical and health research investment. More advocacy is critical now to ensure our nation steps up in response to health threats that we can—we must—overcome. More Than Half Favor Doubling Federal Spending on Medical Research Do you favor or oppose doubling federal spending on medical research over the next five years? 19% Not Sure 23% 8% Strongly favor Strongly oppose 16% 35% Somewhat oppose Somewhat favor Source: A Research!America survey of U.S. adults conducted in partnership with Zogby Analytics in January 2018. Research!America 3 Introduction Investment1 in medical and health research and development (R&D) in the U.S. grew by $38.8 billion or 27% from 2013 to 2017. Industry continues to invest more than any other sector, accounting for 67% of total spending in 2017, followed by the federal government at 22%. Federal investments increased from 2016 to 2017, the second year of growth after a dip from 2014 to 2015. Overall, federal investment increased by $6.1 billion or 18.4% from 2013 to 2017, but growth has been uneven across federal health agencies. Investment by other sectors, including academic and research institutions, foundations, state and local governments, and voluntary health associations and professional societies, also increased from 2013 to 2017. Looking ahead, medical and health R&D spending is expected to move in an upward trajectory in 2018 but will continue to fall short relative to the health and economic impact of major health threats.
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												  Fashion Designers' Decision-Making ProcessIowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2013 Fashion designers' decision-making process: The influence of cultural values and personal experience in the creative design process Ja-Young Hwang Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Art and Design Commons Recommended Citation Hwang, Ja-Young, "Fashion designers' decision-making process: The influence of cultural values and personal experience in the creative design process" (2013). Graduate Theses and Dissertations. 13638. https://lib.dr.iastate.edu/etd/13638 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Fashion designers’ decision-making process: The influence of cultural values and personal experience in the creative design process by Ja -Young Hwang A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Apparel, Merchandising, and Design Program of Study Committee: Mary Lynn Damhorst, Co-Major Professor Eulanda Sanders, Co-Major Professor Sara B. Marcketti Cindy Gould Barbara Caldwell Iowa State University Ames, Iowa 2013 Copyright © Ja Young Hwang, 2013. All rights
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												  Clinical Research ServicesClinical Research Services Conducting efficient, innovative clinical research from initial planning to closeout WHY LEIDOS LIFE SCIENCES? In addition to developing large-scale technology programs for U.S. federal f Leidos has expertise agencies with a focus on health, Leidos provides a broad range of clinical supporting all product services and solutions to researchers, product sponsors, U.S. government development phases agencies, and other biomedical enterprises, hospitals, and health systems. for vaccines, drugs, and Our broad research experience enables us to support programs throughout biotherapeutics the development life cycle: from concept through the exploratory, f Leidos understands the development, pre-clinical, and clinical phases, as well as with product need to control clinical manufacturing and launching. Leidos designs and develops customized project scope, timelines, solutions that support groundbreaking medical research, optimize business and cost while remaining operations, and expedite the discovery of safe and effective medical flexible amidst shifting products. We apply our technical knowledge and experience in selecting research requirements institutions, clinical research organizations, and independent research f Leidos remains vendor- facilities to meet the specific needs of each clinical study. We also manage neutral while fostering and team integration, communication, and contracts throughout the project. managing collaborations Finally, Leidos has a proven track record of ensuring that research involving with
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												  CBPR Charrette Fact SheetCBPR Charrette Fact Sheet CBPR Charrettes: An Expert Guided Process for Strengthening Community-Academic Partnerships University of North Carolina at Chapel Hill (UNC) Project Background The NC Translational and Clinical Sciences Institute (TraCS), home of UNC’s Clinical and Translational Science Award (CTSA) and the UNC Center for Health Promotion and Disease Prevention (HPDP), home of UNC’s CDC-funded Prevention Research Center (PRC), received two supplement grants to launch Community Leadership and Reciprocal Development: Advancing Community-Engaged Research at Two CTSA Institutions in collaboration with Vanderbilt’s Institute for Clinical and Translational Research (VICTR). The goal of this project was to expand and accelerate both institutions’ capacity to advance community-engaged research, by 1) drawing on the expertise of community partners working with our respective institutions, and, 2) initiating a cross-institution partnership to share expertise, develop resources, and disseminate new knowledge and approaches. At UNC we provide technical assistance through a “charrette” process to advance the adoption and successful implementation of community- based participatory research (CBPR) among community and academic partnership teams. What is a charrette? A “charrette” is a collaborative planning process most often used in design and architecture that harnesses the talents and energies of all interested parties to create and support a feasible plan to bring about community development and transformation (www.nationalcharretteinstitute.org). This project adapts the charrette concept to build the capacity of community-academic partnerships to use a CBPR approach to address the health needs of communities. Our “CBPR Charrettes” are comprised of focused guidance sessions for community-academic partnership (CAP) teams to address issues or questions identified by the partnership.
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												  Adaptive Designs in Clinical Trials: Why Use Them, and How to Run and Report Them Philip Pallmann1* , Alun WPallmann et al. BMC Medicine (2018) 16:29 https://doi.org/10.1186/s12916-018-1017-7 CORRESPONDENCE Open Access Adaptive designs in clinical trials: why use them, and how to run and report them Philip Pallmann1* , Alun W. Bedding2, Babak Choodari-Oskooei3, Munyaradzi Dimairo4,LauraFlight5, Lisa V. Hampson1,6, Jane Holmes7, Adrian P. Mander8, Lang’o Odondi7, Matthew R. Sydes3,SofíaS.Villar8, James M. S. Wason8,9, Christopher J. Weir10, Graham M. Wheeler8,11, Christina Yap12 and Thomas Jaki1 Abstract Adaptive designs can make clinical trials more flexible by utilising results accumulating in the trial to modify the trial’s course in accordance with pre-specified rules. Trials with an adaptive design are often more efficient, informative and ethical than trials with a traditional fixed design since they often make better use of resources such as time and money, and might require fewer participants. Adaptive designs can be applied across all phases of clinical research, from early-phase dose escalation to confirmatory trials. The pace of the uptake of adaptive designs in clinical research, however, has remained well behind that of the statistical literature introducing new methods and highlighting their potential advantages. We speculate that one factor contributing to this is that the full range of adaptations available to trial designs, as well as their goals, advantages and limitations, remains unfamiliar to many parts of the clinical community. Additionally, the term adaptive design has been misleadingly used as an all-encompassing label to refer to certain methods that could be deemed controversial or that have been inadequately implemented. We believe that even if the planning and analysis of a trial is undertaken by an expert statistician, it is essential that the investigators understand the implications of using an adaptive design, for example, what the practical challenges are, what can (and cannot) be inferred from the results of such a trial, and how to report and communicate the results.
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												  RESEARCH DESIGN Qualitative, Quantitative, and Mixed Methods ApproachesTHIRD EDITION RESEARCH DESIGN Qualitative, Quantitative, and Mixed Methods Approaches JOHNW. CRESWELL UNIVERSITY OF NEBRASKA-LlNCOLN ~SAGE Los Angeles • London • New Delhi • Singapore Copyright © 2009 by SAGEPublicatíons, Inc. Al! rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanícal, including photocopying. recording. or by any information storage and retrieval system, without permission in writing from the publisher. Por iniormation: SAGEPublications. Inc. SAGEPublications India Pvt. Ltd. 2455 Tel!er Road B 1/1 1 Mohan Cooperative Thousand Oaks, California 91320 Industrial Area E-mail: [email protected] Mathura Road, New Delhi 110 044 India SAGEPublications Ltd. SAGEPublications Asia-Pacific Pte. Ltd. 1 Oliver's Yard 33 Pekin Street #02-01 55 City Road Far East Square London ECl y ISP Singapore 048763 United Kingdom Printed in the United States of America Library of Congress Cataloqinq-in-Publicaticn Data Creswell,[ohn W. Research design: Qualítative, quantitative. and mixed methods approaches/john W. Creswell. -3rd ed. p.cm. Includes bibliographical references and index. ISBN 978-1-4129-6556-9 (cloth) ISBN 978-1-4129-6557-6 (pbk.) l. Social sciences-Research-Methodology. 2. Social sciences-Statistical methods. 1. Title. H62.C6963 2009 300.n-ac22 2008006242 Prinied on acid-free paper 08 09 10 11 12 10 9 8 7 6 5 4 3 2 1 Acquiring Editor: Vicki Knight Associate Editor: Sean Connelly Editorial Assistant: Lauren Habib ;. Production Editor: Sarah K. Quesenberry Copy Editor: Marilyn Power Scott Typesetter: C&MDigitals (P) Ltd. Proofreader: Marleis Roberts Indexer: RickHurd Cover Designer: [anet Foulger Marketing Manager: Stephanie Adams Brief Contents Analytic Contents of Research Techniques xv Preface xix Acknowledgments xxvii About the Author xxix ~ Part 1:Preliminary Considerations 1.
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												  Good Statistical Practices for Contemporary Meta-Analysis: Examples Based on a Systematic Review on COVID-19 in PregnancyReview Good Statistical Practices for Contemporary Meta-Analysis: Examples Based on a Systematic Review on COVID-19 in Pregnancy Yuxi Zhao and Lifeng Lin * Department of Statistics, Florida State University, Tallahassee, FL 32306, USA; [email protected] * Correspondence: [email protected] Abstract: Systematic reviews and meta-analyses have been increasingly used to pool research find- ings from multiple studies in medical sciences. The reliability of the synthesized evidence depends highly on the methodological quality of a systematic review and meta-analysis. In recent years, several tools have been developed to guide the reporting and evidence appraisal of systematic reviews and meta-analyses, and much statistical effort has been paid to improve their methodological quality. Nevertheless, many contemporary meta-analyses continue to employ conventional statis- tical methods, which may be suboptimal compared with several alternative methods available in the evidence synthesis literature. Based on a recent systematic review on COVID-19 in pregnancy, this article provides an overview of select good practices for performing meta-analyses from sta- tistical perspectives. Specifically, we suggest meta-analysts (1) providing sufficient information of included studies, (2) providing information for reproducibility of meta-analyses, (3) using appro- priate terminologies, (4) double-checking presented results, (5) considering alternative estimators of between-study variance, (6) considering alternative confidence intervals, (7) reporting predic- Citation: Zhao, Y.; Lin, L. Good tion intervals, (8) assessing small-study effects whenever possible, and (9) considering one-stage Statistical Practices for Contemporary methods. We use worked examples to illustrate these good practices. Relevant statistical code Meta-Analysis: Examples Based on a is also provided.