Richard G. Lomax's Books

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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Page Count

531

Publisher

Routledge

Published Date

ISBN 10

1136968563

ISBN 13

9781136968563

Statistical Concepts - A Second Course

By: Debbie L. Hahs-Vaughn,Richard G. Lomax

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Statistical Concepts - A Second Course

By: Debbie L. Hahs-Vaughn,Richard G. Lomax

Statistical Concepts—A Second Course presents the last 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results. In this new edition, Hahs-Vaughn and Lomax discuss sensitivity, specificity, false positive and false negative errors. Coverage of effect sizes has been expanded upon and more organizational features (to summarize key concepts) have been included. A final chapter on mediation and moderation has been added for a more complete presentation of regression models. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.

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Page Count

782

Publisher

Routledge

Published Date

ISBN 10

1000124436

ISBN 13

9781000124439

An Introduction to Statistical Concepts

Third Edition

By: Richard G Lomax,Debbie L. Hahs-Vaughn

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An Introduction to Statistical Concepts

Third Edition

By: Richard G Lomax,Debbie L. Hahs-Vaughn

This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.

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Page Count

841

Publisher

Routledge

Published Date

ISBN 10

1136490132

ISBN 13

9781136490132

Organometallic Chemistry Research Perspectives

By: Richard P. Irwin

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Organometallic Chemistry Research Perspectives

By: Richard P. Irwin

Organometallic chemistry is based on the reactions and use of a class of compounds (R-M) that contain a covalent bond between carbon and metal. They are prepared either by direct reaction of the metal with an organic compound or by replacement of a metal from another organometallic substance. This book presents research in this field.

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Page Count

324

Publisher

Nova Publishers

Published Date

ISBN 10

160021780X

ISBN 13

9781600217807

Statistical Concepts - A First Course

By: Debbie L. Hahs-Vaughn,Richard G. Lomax

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Statistical Concepts - A First Course

By: Debbie L. Hahs-Vaughn,Richard G. Lomax

Statistical Concepts—A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training in mathematics and only requires a rudimentary knowledge of algebra. Covering the most basic statistical concepts, this book is designed to help readers really understand statistical concepts, in what situations they can be applied, and how to apply them to data. Specifically, the text covers basic descriptive statistics, including ways of representing data graphically, statistical measures that describe a set of data, the normal distribution and other types of standard scores, and an introduction to probability and sampling. The remainder of the text covers various inferential tests, including those involving tests of means (e.g., t tests), proportions, variances, and correlations. Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of social science and behavioral science disciplines.

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Page Count

519

Publisher

Routledge

Published Date

ISBN 10

0429536852

ISBN 13

9780429536854

Book's by Richard G. Lomax

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

Statistical Concepts - A Second Course

Statistical Concepts - A Second Course

An Introduction to Statistical Concepts

An Introduction to Statistical Concepts

Organometallic Chemistry Research Perspectives

Organometallic Chemistry Research Perspectives

Statistical Concepts - A First Course

Statistical Concepts - A First Course

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