Jason W. Osborne's Books

Best Practices in Quantitative Methods

By: Jason W. Osborne

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Best Practices in Quantitative Methods

By: Jason W. Osborne

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.

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1019

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SAGE Publications

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ISBN 10

1483333051

ISBN 13

9781483333052

Best Practices in Logistic Regression

By: Jason W. Osborne

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Best Practices in Logistic Regression

By: Jason W. Osborne

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.

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489

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SAGE Publications

Published Date

ISBN 10

1483312097

ISBN 13

9781483312095

Best Practices in Data Cleaning

A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

By: Jason W. Osborne

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Best Practices in Data Cleaning

A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

By: Jason W. Osborne

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.

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Page Count

297

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SAGE

Published Date

ISBN 10

1412988012

ISBN 13

9781412988018

Regression & Linear Modeling

Best Practices and Modern Methods

By: Jason W. Osborne

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Regression & Linear Modeling

Best Practices and Modern Methods

By: Jason W. Osborne

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.

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Page Count

489

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SAGE Publications

Published Date

ISBN 10

1506302750

ISBN 13

9781506302751

Best Practices in Logistic Regression

By: Jason W. Osborne

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Best Practices in Logistic Regression

By: Jason W. Osborne

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Solve jigsaw puzzle

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Page Count

489

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SAGE Publications

Published Date

ISBN 10

1483312097

ISBN 13

9781483312095

Best Practices in Data Cleaning

A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

By: Jason W. Osborne

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Best Practices in Data Cleaning

A Complete Guide to Everything You Need to Do Before and After Collecting Your Data

By: Jason W. Osborne

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Solve jigsaw puzzle

Age

Page Count

297

Publisher

SAGE

Published Date

ISBN 10

1412988012

ISBN 13

9781412988018

Best Practices in Quantitative Methods

By: Jason W. Osborne

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Best Practices in Quantitative Methods

By: Jason W. Osborne

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Solve jigsaw puzzle

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Page Count

1019

Publisher

SAGE Publications

Published Date

ISBN 10

1483333051

ISBN 13

9781483333052

Regression & Linear Modeling

Best Practices and Modern Methods

By: Jason W. Osborne

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Regression & Linear Modeling

Best Practices and Modern Methods

By: Jason W. Osborne

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. 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.

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Page Count

341

Publisher

SAGE Publications

Published Date

ISBN 10

1506302785

ISBN 13

9781506302782

Book's by Jason W. Osborne

Best Practices in Quantitative Methods

Best Practices in Quantitative Methods

Best Practices in Logistic Regression

Best Practices in Logistic Regression

Best Practices in Data Cleaning

Best Practices in Data Cleaning

Regression & Linear Modeling

Regression & Linear Modeling

Best Practices in Logistic Regression

Best Practices in Logistic Regression

Best Practices in Data Cleaning

Best Practices in Data Cleaning

Best Practices in Quantitative Methods

Best Practices in Quantitative Methods

Regression & Linear Modeling

Regression & Linear Modeling

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