Kevin J. Grimm's Books

Machine Learning for Social and Behavioral Research

By: Ross Jacobucci,Kevin J. Grimm,Zhiyong Zhang

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Machine Learning for Social and Behavioral Research

By: Ross Jacobucci,Kevin J. Grimm,Zhiyong Zhang

Over the past 20 years, there has been an incredible change in the size, structure, and types of data collected in the social and behavioral sciences. Thus, social and behavioral researchers have increasingly been asking the question: "What do I do with all of this data?" The goal of this book is to help answer that question. It is our viewpoint that in social and behavioral research, to answer the question "What do I do with all of this data?", one needs to know the latest advances in the algorithms and think deeply about the interplay of statistical algorithms, data, and theory. An important distinction between this book and most other books in the area of machine learning is our focus on theory"--

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Page Count

434

Publisher

Guilford Publications

Published Date

ISBN 10

1462552935

ISBN 13

9781462552931

Growth Modeling

Structural Equation and Multilevel Modeling Approaches

By: Kevin J. Grimm,Nilam Ram,Ryne Estabrook

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Growth Modeling

Structural Equation and Multilevel Modeling Approaches

By: Kevin J. Grimm,Nilam Ram,Ryne Estabrook

Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling. Winner--Barbara Byrne Book Award from the Society of Multivariate Experimental Psychology

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559

Publisher

Guilford Publications

Published Date

ISBN 10

1462526071

ISBN 13

9781462526079

Safer Field Research in the Social Sciences

A Guide to Human and Digital Security in Hostile Environments

By: Jannis Grimm,Kevin Koehler,Ellen M. Lust,Ilyas Saliba,Isabell Schierenbeck

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Safer Field Research in the Social Sciences

A Guide to Human and Digital Security in Hostile Environments

By: Jannis Grimm,Kevin Koehler,Ellen M. Lust,Ilyas Saliba,Isabell Schierenbeck

Exploring the challenges and risks of social science fieldwork, this book shares best practice for conducting research in hostile environments and pragmatic advice to help you make good decisions. Drawing on the authors’ experiences in regions of conflict and grounded in real-world examples, the book: · Provides practical guidance on important considerations like choosing a research question in sensitive contexts · Gives advice on data and digital security to help you minimize fieldwork risk in a contemporary research environment · Offers tools and templates you can use to develop a tailored security framework Building your understanding of the challenges of on-the-ground research, this book empowers you to meet the challenges of your research landscape head on.

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Page Count

222

Publisher

SAGE

Published Date

ISBN 10

1529723523

ISBN 13

9781529723526

Growth Modeling

Structural Equation and Multilevel Modeling Approaches

By: Kevin J. Grimm,Nilam Ram,Ryne Estabrook

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Growth Modeling

Structural Equation and Multilevel Modeling Approaches

By: Kevin J. Grimm,Nilam Ram,Ryne Estabrook

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559

Publisher

Guilford Publications

Published Date

ISBN 10

1462526071

ISBN 13

9781462526079

Using Mplus for Structural Equation Modeling

A Researcher's Guide

By: E. Kevin Kelloway

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Using Mplus for Structural Equation Modeling

A Researcher's Guide

By: E. Kevin Kelloway

Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway’s 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis. ”An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research.” —Kevin J. Grimm, University of California, Davis

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Page Count

249

Publisher

SAGE Publications

Published Date

ISBN 10

1483313441

ISBN 13

9781483313443

Book's by Kevin J. Grimm

Machine Learning for Social and Behavioral Research

Machine Learning for Social and Behavioral Research

Growth Modeling

Growth Modeling

Safer Field Research in the Social Sciences

Safer Field Research in the Social Sciences

Growth Modeling

Growth Modeling

Using Mplus for Structural Equation Modeling

Using Mplus for Structural Equation Modeling

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