Randall Schumacker's Books

A Beginner's Guide to Structural Equation Modeling

Fourth Edition

By: Randall E. Schumacker,Richard G. Lomax

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A Beginner's Guide to Structural Equation Modeling

Fourth Edition

By: Randall E. Schumacker,Richard G. Lomax

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.

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375

Publisher

Routledge

Published Date

ISBN 10

1317608097

ISBN 13

9781317608097

Learning Statistics Using R

By: Randall E. Schumacker

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Learning Statistics Using R

By: Randall E. Schumacker

Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers′ understanding of statistics through statistical computing and modeling.

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Page Count

648

Publisher

SAGE Publications

Published Date

ISBN 10

148332477X

ISBN 13

9781483324777

Learning Statistics Using R

By: Randall E. Schumacker

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Learning Statistics Using R

By: Randall E. Schumacker

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649

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SAGE Publications

Published Date

ISBN 10

1483313328

ISBN 13

9781483313320

Critical Heart Disease in Infants and Children E-Book

By: David G. Nichols,William J. Greeley,Dorothy G. Lappe,Ross M. Ungerleider,Duke E. Cameron,Philip J. Spevak,Randall C. Wetzel

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Critical Heart Disease in Infants and Children E-Book

By: David G. Nichols,William J. Greeley,Dorothy G. Lappe,Ross M. Ungerleider,Duke E. Cameron,Philip J. Spevak,Randall C. Wetzel

Pediatric intensivists, cardiologists, cardiac surgeons, and anesthesiologists from the leading centers around the world present the collaborative perspectives, concepts, and state-of-the-art knowledge required to care for children with congenital and acquired heart disease in the ICU. Their multidisciplinary approach encompasses every aspect of the relevant basic scientific principles, medical and pharmacologic treatments, and surgical techniques and equipment. From the extracardiac Fontan procedure, and the Ross procedure through new pharmacologic agents and the treatment of pulmonary hypertension to mechanical assist devices, heart and lung transplantation, and interventional cardiac catheterization—all of the developments that are affecting this rapidly advancing field are covered in depth. Employs well-documented tables, text boxes, and algorithms to make clinical information easy to access. Features chapters each written and reviewed by intensivists, surgeons, and cardiologists. Integrates the authors' extensive experiences with state-of-the-art knowledge from the literature. Offers four completely new chapters: Cardiac Trauma, Congenital Heart Disease in the Adult, Congenitally Corrected Transposition of the Great Arteries, and Outcome Evaluation. Describes the basic pharmacology and clinical applications of all of the new pharmacologic agents. Details important refinements and developments in surgical techniques, including the Ross pulmonary autograft replacement of the aortic valve, video-assisted fluoroscopy, and the extracardiac Fontan connection, and discusses their indications and potential complications. Explores the latest advances in the treatment of pulmonary hypertension, new developments in mechanical assist devices, heart and lung transplantation, and interventional cardiac catheterization. Examines issues affecting adults with congenital heart disease.

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Page Count

1041

Publisher

Elsevier Health Sciences

Published Date

ISBN 10

0323070078

ISBN 13

9780323070072

Understanding Statistics Using R

By: Randall Schumacker,Sara Tomek

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Understanding Statistics Using R

By: Randall Schumacker,Sara Tomek

This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The chapters contain T/F quizzes to test basic knowledge of the topics covered. In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided. The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters. An instructor can select any of the supplemental materials to enhance lectures and/or provide additional coverage of concepts and topics in their statistics book.

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Page Count

298

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461462274

ISBN 13

9781461462279

Using R With Multivariate Statistics

By: Randall E. Schumacker

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Using R With Multivariate Statistics

By: Randall E. Schumacker

Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.

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293

Publisher

SAGE Publications

Published Date

ISBN 10

1483377989

ISBN 13

9781483377988

Understanding Statistical Concepts Using S-plus

By: Randall E. Schumacker,Allen Akers

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Understanding Statistical Concepts Using S-plus

By: Randall E. Schumacker,Allen Akers

Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a set of objectives and a summary. The book offers a rich insight into how probability has shaped statistical procedures in the behavioral sciences, as well as a brief history behind the creation of various statistics. Computational skills are kept to a minimum by including S-PLUS programs that run the exercises in the chapters. Students are not required to master the writing of S-PLUS programs, but explanations of how the programs work and program output are included in each chapter. S-PLUS is an advanced statistical package that has an extensive library of functions, which offer flexibility in writing customized routines. The S-PLUS functions provide the capability of programming object and dialog windows, which are commonly used in Windows software applications. The S-PLUS program also contains pull-down menus for the statistical analysis of data. A ZIP file containing programs that work in S-PLUS 6.2 for use with this book is available for download from http://www.psypress.com/resources/9780805836233.zip - please note that these scripts will only run in S-PLUS 6.2 and not later versions due to changes in the programming language syntax.

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Page Count

407

Publisher

Psychology Press

Published Date

ISBN 10

1135657033

ISBN 13

9781135657031

Understanding Statistics Using R

By: Randall Schumacker,Sara Tomek

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Understanding Statistics Using R

By: Randall Schumacker,Sara Tomek

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298

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Springer Science & Business Media

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ISBN 10

1461462274

ISBN 13

9781461462279

A Beginner's Guide to Structural Equation Modeling

Third Edition

By: Randall E. Schumacker,Richard G. Lomax

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A Beginner's Guide to Structural Equation Modeling

Third Edition

By: Randall E. Schumacker,Richard G. Lomax

This textbook presents a basic introduction to structural equation modeling (SEM) and focuses on the conceptual steps to be taken in analysing conceptual models.

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531

Publisher

Routledge

Published Date

ISBN 10

1136968563

ISBN 13

9781136968563

A Beginner's Guide to Structural Equation Modeling

Fourth Edition

By: Randall E. Schumacker,Richard G. Lomax

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A Beginner's Guide to Structural Equation Modeling

Fourth Edition

By: Randall E. Schumacker,Richard G. Lomax

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409

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Routledge

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ISBN 10

1317608089

ISBN 13

9781317608080

A Beginner's Guide to Structural Equation Modeling

By: Randall E. Schumacker,Richard G. Lomax

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A Beginner's Guide to Structural Equation Modeling

By: Randall E. Schumacker,Richard G. Lomax

The second edition features: a CD with all of the book's Amos, EQS, and LISREL programs and data sets; new chapters on importing data issues related to data editing and on how to report research; an updated introduction to matrix notation and programs that illustrate how to compute these calculations; many more computer program examples and chapter exercises; and increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues. The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.

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590

Publisher

Psychology Press

Published Date

ISBN 10

1135641919

ISBN 13

9781135641917

Understanding Statistical Concepts Using S-plus

By: Randall E. Schumacker,Allen Akers

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Understanding Statistical Concepts Using S-plus

By: Randall E. Schumacker,Allen Akers

A supplemental text for intro or intermediate stats courses, this book reviews basic stat concepts as well as the basics of the S-Plus program. Students do not need to write the programs--rather learn to understand the program through sample output & exe

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349

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Psychology Press

Published Date

ISBN 10

1135657041

ISBN 13

9781135657048

Book's by Randall Schumacker

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

Learning Statistics Using R

Learning Statistics Using R

Learning Statistics Using R

Learning Statistics Using R

Critical Heart Disease in Infants and Children E-Book

Critical Heart Disease in Infants and Children E-Book

Understanding Statistics Using R

Understanding Statistics Using R

Using R With Multivariate Statistics

Using R With Multivariate Statistics

Understanding Statistical Concepts Using S-plus

Understanding Statistical Concepts Using S-plus

Understanding Statistics Using R

Understanding Statistics Using R

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

Understanding Statistical Concepts Using S-plus

Understanding Statistical Concepts Using S-plus

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