Best Practices in Quantitative Methods

Best Practices in Quantitative Methods

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 ...

Author: Jason W. Osborne

Publisher: SAGE

ISBN: 9781412940658

Category: Social Science

Page: 596

View: 969

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.
Categories: Social Science

Best Practices in Quantitative Methods for Developmentalists Volume 71 Number 3

Best Practices in Quantitative Methods for Developmentalists  Volume 71  Number 3

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.

Author: Roger Bakeman

Publisher: Wiley-Blackwell

ISBN: 1405169419

Category: Psychology

Page: 172

View: 467

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.
Categories: Psychology

Best Practices in Quantitative Methods for Developmentalists Volume 71 Number 3

Best Practices in Quantitative Methods for Developmentalists  Volume 71  Number 3

"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.

Author: Kathleen McCartney

Publisher: Wiley-Blackwell

ISBN: STANFORD:36105122919355

Category: Psychology

Page: 150

View: 364

"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."--Jacket.
Categories: Psychology

Best Practices in Data Cleaning

Best Practices in Data Cleaning

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 ...

Author: Jason W. Osborne

Publisher: SAGE

ISBN: 9781412988018

Category: Reference

Page: 275

View: 759

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.
Categories: Reference

The Oxford Handbook of Quantitative Methods in Psychology

The Oxford Handbook of Quantitative Methods in Psychology

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, ...

Author: Todd D. Little

Publisher: Oxford University Press, USA

ISBN: 9780199370153

Category: Psychology

Page: 515

View: 316

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.
Categories: Psychology

The Oxford Handbook of Quantitative Methods Volume 1 Foundations

The Oxford Handbook of Quantitative Methods  Volume 1  Foundations

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.

Author: Todd D. Little

Publisher: Oxford University Press

ISBN: 9780199934881

Category: Psychology

Page: 506

View: 291

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.
Categories: Psychology

The Reviewer s Guide to Quantitative Methods in the Social Sciences

The Reviewer   s Guide to Quantitative Methods in the Social Sciences

In J. W. Osborne (Ed.), Best practices in quantitative methods(pp. 1–14).
Thousand Oaks, CA: Sage. Fisher, R. A. (1925). Statistical methods for research
workers. Edinburgh: Oliver & Boyd. Gosset, S.W. S. (1908). The probable error of
a mean.

Author: Gregory R. Hancock

Publisher: Routledge

ISBN: 9781135172992

Category: Education

Page: 448

View: 180

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.
Categories: Education

The Oxford Handbook of Quantitative Methods Vol 2 Statistical Analysis

The Oxford Handbook of Quantitative Methods  Vol  2  Statistical Analysis

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.

Author: Todd D. Little

Publisher: Oxford University Press

ISBN: 9780199934904

Category: Psychology

Page: 784

View: 998

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.
Categories: Psychology

Teaching Quantitative Methods

Teaching Quantitative Methods

Best. Practices. in. Quantitative. Methods. Teaching: Comparing. Social. Science.
Curricula. Across. Countries. Jonathan. Parker. Teaching in higher education
tends to be seen and experienced as a solitary activity. Academics like the
freedom ...

Author: Geoff Payne

Publisher: SAGE

ISBN: 9781446245422

Category: Social Science

Page: 200

View: 839

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.
Categories: Social Science

The Oxford Handbook of Quantitative Methods in Psychology Vol 2

The Oxford Handbook of Quantitative Methods in Psychology  Vol  2

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods ...

Author: Todd D. Little

Publisher: Oxford University Press

ISBN: 9780199934898

Category: Medical

Page: 736

View: 690

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.
Categories: Medical

Best Practices in Exploratory Factor Analysis

Best Practices in Exploratory Factor 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 ...

Author: Jason W. Osborne

Publisher: Createspace Independent Pub

ISBN: 1500594342

Category: Psychology

Page: 150

View: 597

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
Categories: Psychology

Mixing Methods in Psychology

Mixing Methods in Psychology

This book looks in detail at the problems involved in attempting to reconcile qualitative and quantitative methods, providing both theoretical and methodological guidance as well as practical examples of how methods can be fruitfully ...

Author: Zazie Todd

Publisher: Psychology Press

ISBN: 0415186501

Category: Psychology

Page: 251

View: 642

This book looks in detail at the problems involved in attempting to reconcile qualitative and quantitative methods, providing both theoretical and methodological guidance as well as practical examples of how methods can be fruitfully combined.
Categories: Psychology

Best Practices in Logistic Regression

Best Practices in Logistic Regression

The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression.

Author: Jason W. Osborne

Publisher: SAGE Publications

ISBN: 9781483312095

Category: Social Science

Page: 488

View: 351

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.
Categories: Social Science

Media and Communication Research Methods

Media and Communication Research Methods

The Fifth Edition of Media and Communication Research Methods includes a new chapter on discourse analysis; expanded discussion of social media, including discussion of the ethics of Facebook experiments; and expanded coverage of the ...

Author: Arthur Asa Berger

Publisher: SAGE Publications

ISBN: 9781544332697

Category: Language Arts & Disciplines

Page: 488

View: 239

This step-by-step introduction to conducting media and communication research offers practical insights along with Arthur Asa Berger’s signature lighthearted style to make discussion of qualitative and quantitative methods easy to comprehend. The Fifth Edition of Media and Communication Research Methods includes a new chapter on discourse analysis; expanded discussion of social media, including discussion of the ethics of Facebook experiments; and expanded coverage of the research process with new discussion of search strategies and best practices for analyzing research articles. Ideal for research students at both the graduate and undergraduate level, this proven book is clear, concise, and accompanied by just the right number of detailed examples, useful applications, and valuable exercises to help students to understand, and master, media and communication research.
Categories: Language Arts & Disciplines

Regression Linear Modeling

Regression   Linear Modeling

The author returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models.

Author: Jason W. Osborne

Publisher: SAGE Publications

ISBN: 9781506302782

Category: Psychology

Page: 488

View: 212

In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. Author Jason W. Osborne returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models.
Categories: Psychology

Performing Data Analysis Using IBM SPSS

Performing Data Analysis Using IBM SPSS

Nonparametric and distribution-free methods for the social sciences. Monterey,
CA: ... Best practices in data transformation: The overlooked effect of minimum
values. In J. Osborne (Ed.), Best practices in quantitative methods (pp. 197–204).

Author: Lawrence S. Meyers

Publisher: John Wiley & Sons

ISBN: 9781118363577

Category: Mathematics

Page: 736

View: 332

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
Categories: Mathematics

Research Design

Research Design

This book provides the basis for deciding whether to use a qualitative or quantitative approach for the design of a research study and how to write up the results of a study for a journal article or dissertation.

Author: John W. Creswell

Publisher: SAGE Publications, Incorporated

ISBN: 0803952554

Category: Social Science

Page: 248

View: 283

This book provides the basis for deciding whether to use a qualitative or quantitative approach for the design of a research study and how to write up the results of a study for a journal article or dissertation. Addressing these issues, the author offers a guide to the major design decisions, such as deciding upon a paradigm, stating the purpose of the study, identifying the research questions and hypotheses, using theory and defining and stating the significance of the study.
Categories: Social Science

Applying Quantitative Methods to E book Collections

Applying Quantitative Methods to E book Collections

By collecting and analyzing quantitative data sets, librarians can evaluate e-book collections and provide administration with evidence that can help them make informed decisions that better support patrons' needs.

Author: Melissa J. Goertzen

Publisher: ALA TechSource

ISBN: 0838959873

Category: Language Arts & Disciplines

Page: 32

View: 509

By collecting and analyzing quantitative data sets, librarians can evaluate e-book collections and provide administration with evidence that can help them make informed decisions that better support patrons' needs.
Categories: Language Arts & Disciplines

Software Assessments Benchmarks and Best Practices

Software Assessments  Benchmarks  and Best Practices

Teaching software professionals how to combine assessments (qualitative information) and benchmarking (quantitative information) this text aims to encourage better software analysis.

Author: Capers Jones

Publisher: Addison-Wesley Professional

ISBN: 0201485427

Category: Computers

Page: 659

View: 243

Teaching software professionals how to combine assessments (qualitative information) and benchmarking (quantitative information) this text aims to encourage better software analysis.
Categories: Computers

Manufacturing Handbook of Best Practices

Manufacturing Handbook of Best Practices

Following publication of his books, Quantitative Methods for Managerial
Decisions (1978) and Safety Training Methods (1980, revised 1995), Dr. ReVelle
authored chapters for Handbook of Mechanical Engineering (1986, revised 1998
), ...

Author: Jack B. ReVelle

Publisher: CRC Press

ISBN: 9781420025507

Category: Business & Economics

Page: 472

View: 310

Manufacturing Handbook of Best Practices: An Innovation, Productivity, and Quality Focus gives you a working knowledge of today's cutting edge tools - preparing you for the way you will be doing your job tomorrow. With contributions from seasoned manufacturing experts, the book provides a single-source reference to what's currently happening in mod
Categories: Business & Economics