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Best Practices In Quantitative Methods

Author : Jason W. Osborne
ISBN : 9781412940658
Genre : Social Science
File Size : 53.56 MB
Format : PDF
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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.
Category: Social Science

Best Practices In Data Cleaning

Author : Jason W. Osborne
ISBN : 9781412988018
Genre : Reference
File Size : 23.1 MB
Format : PDF, Kindle
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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.
Category: Reference

The Reviewer S Guide To Quantitative Methods In The Social Sciences

Author : Gregory R. Hancock
ISBN : 9781135172992
Genre : Education
File Size : 29.19 MB
Format : PDF
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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.
Category: Education

Best Practices In Exploratory Factor Analysis

Author : Jason W. Osborne
ISBN : 1500594342
Genre : Psychology
File Size : 57.98 MB
Format : PDF, Kindle
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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
Category: Psychology

The Oxford Handbook Of Quantitative Methods In Psychology

Author : Todd D. Little
ISBN : 9780199370153
Genre : Psychology
File Size : 70.95 MB
Format : PDF, Docs
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This two-volume handbook on current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences covers philosophical and ethical issues, theory construction, model building and types of models, survey and experiment design, measurement issues, observational methods, statistical methods, types of analysis, types of data, and common research fallacies.
Category: Psychology

The Oxford Handbook Of Quantitative Methods Vol 2 Statistical Analysis

Author : Todd D. Little
ISBN : 9780199934904
Genre : Psychology
File Size : 38.92 MB
Format : PDF, Kindle
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Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.
Category: Psychology

Best Practices In Logistic Regression

Author : Jason W. Osborne
ISBN : 9781452244792
Genre : Mathematics
File Size : 38.14 MB
Format : PDF
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Jason W. Osborne’s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne’s applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Category: Mathematics

Best Practices In Quantitative Methods For Developmentalists

Author : Kathleen McCartney
ISBN : STANFORD:36105122919355
Genre : Psychology
File Size : 34.19 MB
Format : PDF, ePub
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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.
Category: Psychology

Teaching Quantitative Methods

Author : Geoff Payne
ISBN : 9781446245422
Genre : Social Science
File Size : 75.60 MB
Format : PDF, ePub
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This exciting collection is both useful and timely. It clearly lays out the problems, strategies and resources associated with the teaching of quantitative methods in modern universities. Addressing the perceived 'crisis of number' in a practical and fresh way the book sets out dynamic new approaches to teaching quantitative methods. It offers historical, comparative, analytical reflection and empirical evidence concerning the crisis in contemporary social sciences. Experts from across the social sciences provide a wide range of authoritative insights as well as a number of useful illustrations of strategies and resources designed to help overcome this 'crisis of number'. Each chapter reflects the diversity of backgrounds and approaches within the social sciences making this an interdisciplinary, relevant addition to the subject. The book also: o focuses on innovations in how to teach quantitative research methods o reports on the latest ESRC research projects on teaching quantitative methods o locates itself within current debates about skills for employment. Clear, engaging and original this book will be essential reading for those interested in learning and teaching quantitative methods.
Category: Social Science

Evidence Based Practice Manual For Nurses E Book

Author : Rosalind L. Smyth
ISBN : 9780702046681
Genre : Medical
File Size : 61.5 MB
Format : PDF, Docs
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The Evidence-based Practice Manual successfully breaks down the skills for evidence-based nursing into manageable components. The reader will learn how to find, critically read and interpret a range of research studies, and will discover optimal approaches to helping patients reach decisions that are informed by the best-available evidence. The more-strategic concepts of developing an organisational evidence-based culture and making evidence-based changes at organisational level are the focus of the final section. Step-by-step guide to finding, appraising and applying research evidence in nursing Teaches skills for successfully reviewing published literature: formulating a focused question developing a search strategy for efficient retrieval of relevant studies appraising the retrieved studies All examples are relevant to nurses and nursing Reflects contemporary nursing issues A new chapter on ‘Using research evidence in making clinical decisions with the individual patient’ provides practical guidance and tools for decision-making A new chapter on ‘Using evidence from qualitative studies’ explains the complexities of qualitative methodologies and methods in a simple, easily understood way Online exercises and solutions Help the reader test out and consolidate newly acquired skills and knowledge Provide an opportunity to critically appraise studies with the following range of designs: qualitative research a randomised controlled trial a cohort study a case control study a diagnostic test accuracy study a systematic review a clinical guideline Example solutions are provided, all written by experts in the field.
Category: Medical