Best Practices In Quantitative Methods
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Best Practices In Quantitative Methods
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Author : Jason W. Osborne
language : en
Publisher: SAGE
Release Date : 2008
Best Practices In Quantitative Methods 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 Language Arts & Disciplines 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 Data Cleaning
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Author : Jason W. Osborne
language : en
Publisher: SAGE
Release Date : 2013
Best Practices In Data Cleaning 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 2013 with Mathematics categories.
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-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. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Ux Research
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Author : Brad Nunnally
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-15
Ux Research written by Brad Nunnally and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-15 with Computers categories.
One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. Fact is, anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner. This book contains four sections, including a brief introduction to UX research, planning and preparation, facilitating research, and analysis and reporting. Each chapter includes a short exercise so you can quickly apply what you’ve learned. Learn what it takes to ask good research questions Know when to use quantitative and qualitative research methods Explore the logistics and details of coordinating a research session Use softer skills to make research seem natural to participants Learn tools and approaches to uncover meaning in your raw data Communicate your findings with a framework and structure
Quantitative Methods For Assessing The Effects Of Non Tariff Measures And Trade Facilitation
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Author : Michael J Ferrantino
language : en
Publisher: World Scientific
Release Date : 2005-04-26
Quantitative Methods For Assessing The Effects Of Non Tariff Measures And Trade Facilitation written by Michael J Ferrantino and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-26 with Business & Economics categories.
As tariffs have fallen worldwide, the increasing importance of non-tariff policies for further trade liberalization has become widely recognized. The methods for assessing the potential effects of such liberalization have lagged significantly behind those available for analyzing tariffs. This book is the first volume that comprehensively addresses this gap. It has been designed to be useful for both economists and policymakers, especially for those involved in communicating ideas and results between economists and policymakers.This indispensable book contains cutting-edge discussions of the full range of methodologies used in this area, including business surveys, summary statistics such as effective rates of protection and price gaps, time-series and panel econometrics, and simulation methods such as computable general equilibrium. It covers the entire spectrum of policies under discussion in current trade negotiations, including trade facilitation, services policies, quantitative measures, customs procedures, standards, movement of natural persons, and anti-dumping.Some prominent contributors to this book are Bijit Bora (World Trade Organization), John Wilson, Tsunehiro Otsuki and Vlad Manole (World Bank), Catherine Mann (Institute of International Economics), Alan Deardorff and Robert Stern (University of Michigan), Joe Francois (Erasmus University), Dean Spinanger (University of Kiel), Antoni Estevadeordal and Kati Suominen (Inter-American Development Bank), Thomas Prusa (Rutgers University), Thomas Hertel and Terrie Walmsley (Purdue University), Scott Bradford (Brigham Young University), Judith Dean, Robert Feinberg, Soamiely Andriamananjara and Marinos Tsigas (US International Trade Commission).
Best Practices In Exploratory Factor Analysis
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Author : Jason W. Osborne
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2014-07-23
Best Practices In Exploratory Factor Analysis written by Jason W. Osborne and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-23 with Factor analysis 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
Handbook On Impact Evaluation
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Author : Shahidur R. Khandker
language : en
Publisher: World Bank Publications
Release Date : 2009-10-13
Handbook On Impact Evaluation written by Shahidur R. Khandker and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-13 with Business & Economics categories.
Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book.
Teaching Quantitative Methods
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Author : Geoff Payne
language : en
Publisher: SAGE Publications
Release Date : 2011-03-14
Teaching Quantitative Methods written by Geoff Payne and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-14 with Social Science categories.
A clear, innovative text from world experts, this clearly lays out the problems, strategies and resources associated with the teaching of quantitative methods in modern universities. It is a pragmatic approach which will be of interest to any academic teaching 'numbers' to their students.
Quantitative Methods For Health Research
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Author : Nigel Bruce
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-18
Quantitative Methods For Health Research written by Nigel Bruce and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-18 with Medical categories.
Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.
Doing Quantitative Research In The Social Sciences
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Author : Thomas R Black
language : en
Publisher: SAGE
Release Date : 1999-03-30
Doing Quantitative Research In The Social Sciences written by Thomas R Black and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-03-30 with Social Science categories.
This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
Methods For Quantitative Macro Comparative Research
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Author : Salvatore J. Babones
language : en
Publisher: SAGE Publications
Release Date : 2013-08-06
Methods For Quantitative Macro Comparative Research written by Salvatore J. Babones and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-06 with Social Science categories.
Will a one-child policy increase economic growth? Does globalization contribute to global warming? Are unequal societies less healthy than more egalitarian societies? It is questions like these that social scientists turn to quantitative macro-comparative research (QMCR) to answer. Although many social scientists understand statistics conceptually, they struggle with the mathematical skills required to conduct QMCR. This non-mathematical book is intended to bridge that gap, interpreting the advanced statistics used in QMCR in terms of verbal descriptions that any college graduate with a basic background in statistics can follow. It addresses both the philosophical foundations and day-to-day practice of QMCR in an effort to improve research outcomes and ensure policy relevance. A comprehensive guide to QMCR, the book presents an overview of the questions that can be answered using QMCR, details the steps of the research process, and concludes with important guidelines and best practices for conducting QMCR. The book assumes that the reader has a sound grasp of the fundamentals of linear regression modeling, but no advanced mathematical knowledge is required in order for researchers and students to read, understand, and enjoy the book. A conversational discussion style supplemented by 75 tables and figures makes the book′s methodological arguments accessible to both students and professionals. Extensive citations refer readers back to primary discussions in the literature, and a comprehensive index provides easy access to coverage of specific techniques.