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Best Practices In Quantitative Methods


Author : Jason W. Osborne
language : en
Publisher: SAGE
Release Date : 2008


PDF Download Best Practices In Quantitative Methods Books For free written by Jason W. Osborne and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Social Science categories.


The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Best Practices In Quantitative Methods For Developmentalists


Author : Kathleen McCartney
language : en
Publisher: Wiley-Blackwell
Release Date : 2006


PDF Download Best Practices In Quantitative Methods For Developmentalists Books For free written by Kathleen McCartney and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Psychology categories.


The role of quantitative methods in testing developmental hypotheses is widely recognized, yet even very experienced quantitative researchers often lack the knowledge required for good decision-making on methodology. The end result is a disconnect between research and practice in methods. The purpose of this monograph is to fill a gap in the literature by offering a series of overviews on common data-analytic issues of particular interest to researchers in child development. Our hope is that this monograph will make already developed methods accessible to developmentalists so they can understand and use them in their research. We start at the beginning with chapters on data management and measurement, two neglected topics in methods training despite the fact that every investigation should begin with proper consideration of each. We follow with two important topics for developmental research, missing data and growth modeling. Missing data can plague developmental work because participants sometimes miss one or more assessment points. Growth modeling methods offer researchers a true means to assess change over time as compared with cruder methods like difference scores and residualized change scores. Then comes a discussion of mediation and moderation, two tools that can be used to elucidate developmental processes. Because so much developmental science is non-experimental, we include a chapter on selection bias that compares five modeling strategies. Proper attention to data management, measurement, missing data, growth modeling (whenever possible), mediation and moderation, and potential selection bias is guaranteed to result in greater precision in inference-making. Even when researchers make good decisions about methods, it is critical for them to use good judgment about the practical importance of findings, so we conclude with this important discussion. We view this monograph as a first step to getting quantitative researchers started and we believe this reference will help researchers make better-informed decisions about methodology.

Best Practices In Data Cleaning


Author : Jason W. Osborne
language : en
Publisher: SAGE
Release Date : 2012-01-10


PDF Download Best Practices In Data Cleaning Books For free written by Jason W. Osborne and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-10 with Reference categories.


Many researchers jump from data collection directly into testing hypothesis without realizing these tests can go profoundly wrong without clean data. This book provides a clear, accessible, step-by-step process of important best practices in preparing for data collection, testing assumptions, and examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of the handbook Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are evidence-based and will motivate change in practice by empirically demonstrating—for each topic—the benefits of following best practices and the potential consequences of not following these guidelines.

The Oxford Handbook Of Multimethod And Mixed Methods Research Inquiry


Author : Sharlene Nagy Hesse-Biber
language : en
Publisher: Oxford University Press, USA
Release Date : 2015


PDF Download The Oxford Handbook Of Multimethod And Mixed Methods Research Inquiry Books For free written by Sharlene Nagy Hesse-Biber and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Psychology categories.


Offering a variety of innovative methods and tools, The Oxford Handbook of Multimethod and Mixed Methods Research Inquiry provides the most comprehensive and up-to-date presentation on multi- and mixed-methods research available. Written in clear and concise language by leading scholars in the field, it enhances and disrupts traditional ways of asking and addressing complex research questions. Topics include an overview of theory, paradigms, and scientific inquiry; a guide to conducting a multi- and mixed-methods research study from start to finish; current uses of multi- and mixed-methods research across academic disciplines and research fields; the latest technologies and how they can be incorporated into study design; and a presentation of multiple perspectives on the key remaining debates. Each chapter in the volume is structured to include state-of-the-art research examples that cross a range of disciplines and interdisciplinary research settings. In addition, the Handbook offers multiple quantitative and qualitative theoretical and interdisciplinary visions and praxis. Researchers, faculty, graduate students, and policy makers will appreciate the exceptional, timely, and critical coverage in this Handbook, which deftly addresses the interdisciplinary and complex questions that a diverse set of research communities are facing today.

The Reviewer S Guide To Quantitative Methods In The Social Sciences


Author : Gregory R. Hancock
language : en
Publisher: Routledge
Release Date : 2010-04-26


PDF Download The Reviewer S Guide To Quantitative Methods In The Social Sciences Books For free written by Gregory R. Hancock and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-26 with Education categories.


The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Workshop On Best Practice Methods For Assessing The Impact Of Policy Oriented Research


Author : Place, Frank
language : en
Publisher: Intl Food Policy Res Inst
Release Date : 2015-12-15


PDF Download Workshop On Best Practice Methods For Assessing The Impact Of Policy Oriented Research Books For free written by Place, Frank and has been published by Intl Food Policy Res Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-15 with Social Science categories.


Methods and practice for the impact evaluation of policy-oriented research (POR) lag behind many other research sectors, such as agricultural technology research, making it difficult to prioritize investments in POR and retarding institutional learning about how to make POR more effective. To address these issues within the context of the CGIAR, a workshop on “Best Practice Methods for Assessing the Impact of Policy-Oriented Research” was cosponsored by the International Food Policy Research Institute (IFPRI), the CGIAR Research Program on Policies, Institutions, and Markets (PIM), and the Standing Panel for Impact Assessment (SPIA) of the CGIAR’s Independent Science and Partnership Council (ISPC), and held at IFPRI headquarters in Washington, DC, November 11–12, 2014. This paper provides a summary of the workshop discussions and draws on this, together with findings from the literature, to derive guidelines for assessing policy-oriented research in the CGIAR.

Best Practices In Exploratory Factor Analysis


Author : Jason W. Osborne
language : en
Publisher: Createspace Independent Pub
Release Date : 2014-07-23


PDF Download Best Practices In Exploratory Factor Analysis Books For free written by Jason W. Osborne and has been published by Createspace Independent Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-23 with Psychology categories.


Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focusing on evidence-based best practices so you can focus on getting the most from your data. Each chapter reviews important concepts, uses real-world data to provide authentic examples of analyses, and provides guidance for interpreting the results of these analysis. Not only does this book clarify often-confusing issues like various extraction techniques, what rotation is really rotating, and how to use parallel analysis and MAP criteria to decide how many factors you have, but it also introduces replication statistics and bootstrap analysis so that you can better understand how precisely your data are helping you estimate population parameters. Bootstrap analysis also informs readers of your work as to the likelihood of replication, which can give you more credibility. At the end of each chapter, the author has recommendations as to how to enhance your mastery of the material, including access to the data sets used in the chapter through his web site. Other resources include syntax and macros for easily incorporating these progressive aspects of exploratory factor analysis into your practice. The web site will also include enrichment activities, answer keys to select exercises, and other resources. The fourth "best practices" book by the author, Best Practices in Exploratory Factor Analysis continues the tradition of clearly-written, accessible guides for those just learning quantitative methods or for those who have been researching for decades. NEW in August 2014! Chapters on factor scores, higher-order factor analysis, and reliability. Chapters: 1 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 2 EXTRACTION AND ROTATION 3 SAMPLE SIZE MATTERS 4 REPLICATION STATISTICS IN EFA 5 BOOTSTRAP APPLICATIONS IN EFA 6 DATA CLEANING AND EFA 7 ARE FACTOR SCORES A GOOD IDEA? 8 HIGHER ORDER FACTORS 9 AFTER THE EFA: INTERNAL CONSISTENCY 10 SUMMARY AND CONCLUSIONS