Researchers and students who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Analyses are based on a wide variety of data representing single and multiple-group models; these include data that are normal/non-normal, complete/incomplete, and continuous/categorical. Written in a user-friendly style, the author walks the reader through the varied steps involved in the process of testing SEM models. These include model specification and estimation, assessment of model fit, description of EQS output, and interpretation of findings. hypothesis being tested, a schematic representation of the model, explanations and interpretations of the related EQS input and output files, tips on how to use the associated pull-down menus and icons, and the data file upon which the application is based. Beginning with an overview of the basic concepts of SEM and the EQS program, the book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features: Many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multi-group model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model. A CD enclosed with the book that includes all application data. Vignettes illustrating procedural and/or data management tasks using a Windows interface. Description of how to build models both interactively using the BUILD_EQ interface and graphically using the EQS Diagrammer.

The authors of the chapters included in this volume provide preliminary answers to questions such as: How extensive were COVID-19 outbreaks in prisons, jails, and community corrections systems globally? Which regions and countries reported the largest outbreaks? Why were prisons and jails found to be "hot spots" for the spread of COVID-19 in most countries? How did governments initially respond to COVID-19 outbreaks in their corrections systems? Did the mitigation strategies used in each country reduce the spread of the infection in the corrections system (both in prisons and jails, and in community corrections)? Did the corrections-focused mitigation strategies used in each country have a positive or an adverse impact on public health and public safety? How likely is it that the varied short-term mitigation strategies implemented by governments will result in long-term changes in corrections policies and practices? The book includes three chapters examining the global impact of the COVID-19 outbreaks, six regional overviews, and 27 country-specific reviews, including reviews targeting 21 of the 50 largest prison systems globally. This collection will be an excellent resource for researchers, policymakers, practitioners, and the general public interested in knowing more about the nature and extent of COVID-19 outbreaks in corrections systems globally, and about the diversity of responses developed and implemented by governments from each global region. The chapters in this book were originally published as a special issue of the journal Victims & Offenders.

Financial crime is a trillion-dollar industry that is likely to continue to grow exponentially unless new strategies of prevention and control can be developed. This book covers a wide range of topics related to financial crime commission, victimization, prevention, and control. The chapters included in this book closely examine cyber-victimization in their investigation of online fraud schemes that have resulted in new categories of crime victims as the result of identity theft, romance fraud schemes, phishing, ransomware, and other technology-enabled online fraud strategies. This book also offers new strategies for both financial crime prevention and financial crime control designed to reduce both offending and victimization. It will be a great resource for researchers and students of Criminology, Sociology, Law, and Information Technology. The chapters in this book were originally published in the journal Victims & Offenders.

Chapters are authored by leading experts from around the world, including Greece, Chile, Australia, Canada and Australia, while an international Editorial Board ensures continued high quality and rigorous peer review of published articles. The ever increasing interest in work in oceanography and marine biology and its relevance to global environmental issues, especially global climate change and its impacts, creates a demand for authoritative reviews summarizing the results of recent research. This series remains one of the most cited sources in marine science and oceanography.

The authors of the chapters included in this volume provide preliminary answers to questions such as: How extensive were COVID-19 outbreaks in prisons, jails, and community corrections systems globally? Which regions and countries reported the largest outbreaks? Why were prisons and jails found to be "hot spots" for the spread of COVID-19 in most countries? How did governments initially respond to COVID-19 outbreaks in their corrections systems? Did the mitigation strategies used in each country reduce the spread of the infection in the corrections system (both in prisons and jails, and in community corrections)? Did the corrections-focused mitigation strategies used in each country have a positive or an adverse impact on public health and public safety? How likely is it that the varied short-term mitigation strategies implemented by governments will result in long-term changes in corrections policies and practices? The book includes three chapters examining the global impact of the COVID-19 outbreaks, six regional overviews, and 27 country-specific reviews, including reviews targeting 21 of the 50 largest prison systems globally. This collection will be an excellent resource for researchers, policymakers, practitioners, and the general public interested in knowing more about the nature and extent of COVID-19 outbreaks in corrections systems globally, and about the diversity of responses developed and implemented by governments from each global region. The chapters in this book were originally published as a special issue of the journal Victims & Offenders.

Celebrating its 60th volume (and thus 60 years of publication), this series remains one of the most cited sources in marine science and oceanography. This anniversary volume includes an Editorial discussing the UN Decade of Ocean Science as well as appreciation notes on the work of previous Editor-in-Chiefs. Chapters are authored by leading experts from around the world, including Greece, Chile, Australia, Canada and Australia, while an international Editorial Board ensures continued high quality and rigorous peer review of published articles. The ever increasing interest in work in oceanography and marine biology and its relevance to global environmental issues, especially global climate change and its impacts, creates a demand for authoritative reviews summarizing the results of recent research. Supplementary online videos as well as additional Tables and Appendices are available on the Support Tab of the book's Routledge webpage. This volume is available Open Access.

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model tested. Thoroughly updated throughout, the new edition features: All new screen shots featuring Amos Version 23. Descriptions and illustrations of Amos' new Tables View format which enables the specification of a structural model in spreadsheet form. Key concepts and/or techniques that introduce each chapter. Alternative approaches to model analyses when enabled by Amos thereby allowing users to determine the method best suited to their data. Provides analysis of the same model based on continuous and categorical data (Ch. 5) thereby enabling readers to observe two ways of specifying and testing the same model as well as compare results. All applications based on the Amos graphical mode interface accompanied by more "how to" coverage of graphical techniques unique to Amos. More explanation of key procedures and analyses that address questions posed by readers All application data files are available at www.routledge.com/9781138797031. The two introductory chapters in Section 1 review the fundamental concepts of SEM methodology and a general overview of the Amos program. Section 2 provides single-group analyses applications including two first-order confirmatory factor analytic (CFA) models, one second-order CFA model, and one full latent variable model. Section 3 presents multiple-group analyses applications with two rooted in the analysis of covariance structures and one in the analysis of mean and covariance structures. Two models that are increasingly popular with SEM practitioners, construct validity and testing change over time using the latent growth curve, are presented in Section 4. The book concludes with a review of the use of bootstrapping to address non-normal data and a review of missing (or incomplete) data in Section 5. An ideal supplement for graduate level courses in psychology, education, business, and social and health sciences that cover the fundamentals of SEM with a focus on Amos, this practical text continues to be a favorite of both researchers and practitioners. A prerequisite of basic statistics through regression analysis is recommended but no exposure to either SEM or Amos is required.

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Version 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including:

• an explanation of the issues addressed
• illustrated and annotated testing of the hypothesized and post hoc models
• explanation and interpretation of all Mplus input and output files
• important caveats pertinent to the SEM application under study
• a description of the data and reference upon which the model was based
• the corresponding data and syntax files available at http: //www.psypress.com/sem-with-mplus/datasets .

The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.

Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

As figureheads of the most visible segment of criminal justice, today's police administrators are forced to tackle challenges never faced by their predecessors. Heightened local and global threats, advanced technologies, and increased demands for procedural transparency require new levels of flexibility, innovative thinking, and the ability to foster and maintain relationships within the community. It is more crucial than ever to recruit and retain capable leaders to guide law enforcement agencies at this pivotal time in history.

Covering areas such as leadership in policing, use of force, and understanding how the law shapes police practice, Handbook of Police Administration examines the key topics that must be considered by law enforcement professionals. Recognizing that police leaders need the skills and traits of a politician, accountant, attorney, field lieutenant, and futurist, the authors cover a variety of contemporary issues surrounding police administration and management. Divided into five thematic sections, it considers the legal aspects of overseeing a public sector organization, as well as how research, technology, and training can assist modern police leaders in performing their duties more effectively and efficiently. The book covers problematic issues such as officers accepting gratuities, undercover work, and the time criteria required for promotional consideration. It concludes with a chapter comparing administrative issues in Australia with many of the subjects previously addressed with regard to U.S. protocol.

Using a range of perspective, differing viewpoints, and controversial issues, Handbook of Police Administration provides a springboard to stimulatediscussion at the cutting-edge of debate in the dynamic field of policing.

Throughout the developed world there is an increasing prevalence of childhood obesity. Because of this increase, and awareness of the risks to long term health that childhood obesity presents, the phenomena is now described by many as a global epidemic.

Children, Obesity and Exercise provides sport, exercise and medicine students and professionals with an accessible and practical guide to understanding and managing childhood and adolescent obesity. It covers:

• overweight, obesity and body composition;
• physical activity, growth and development;
• psycho-social aspects of childhood obesity;
• physical activity behaviours;
• eating behaviours;
• measuring children 's behaviour;
• interventions for prevention and management of childhood obesity.

Children, Obesity and Exercise addresses the need for authoritative advice and innovative approaches to the prevention and management of this chronic problem.

A Primer of LISREL represents the first complete guide to the use of LISREL computer programming in analyses of covariance structures. Rather than writing for the expert statistician, Dr. Byrne draws examples from her own research in providing a practical guide to applications of LISREL modeling for the unsophisticated user. This book surpasses the other theoretically cumbersome manuals, as the author describes procedures and examples establishing for the user the first book requiring no supplement to the understanding of causal modeling and LISREL.

Throughout the developed world there is an increasing prevalence of childhood obesity. Because of this increase, and awareness of the risks to long term health that childhood obesity presents, the phenomena is now described by many as a global epidemic.

Children, Obesity and Exercise provides sport, exercise and medicine students and professionals with an accessible and practical guide to understanding and managing childhood and adolescent obesity. It covers:

• overweight, obesity and body composition;
• physical activity, growth and development;
• psycho-social aspects of childhood obesity;
• physical activity behaviours;
• eating behaviours;
• measuring children 's behaviour;
• interventions for prevention and management of childhood obesity.

Children, Obesity and Exercise addresses the need for authoritative advice and innovative approaches to the prevention and management of this chronic problem.

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including:

• an explanation of the issues addressed
• illustrated and annotated testing of the hypothesized and post hoc models
• explanation and interpretation of all Mplus input and output files
• important caveats pertinent to the SEM application under study
• a description of the data and reference upon which the model was based
• the corresponding data and syntax files available at http: //www.psypress.com/sem-with-mplus/datasets .

The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models.

Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.

Researchers and students who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Analyses are based on a wide variety of data representing single and multiple-group models; these include data that are normal/non-normal, complete/incomplete, and continuous/categorical. Written in a user-friendly style, the author walks the reader through the varied steps involved in the process of testing SEM models. These include model specification and estimation, assessment of model fit, description of EQS output, and interpretation of findings. hypothesis being tested, a schematic representation of the model, explanations and interpretations of the related EQS input and output files, tips on how to use the associated pull-down menus and icons, and the data file upon which the application is based. Beginning with an overview of the basic concepts of SEM and the EQS program, the book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features: Many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multi-group model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model. A CD enclosed with the book that includes all application data. Vignettes illustrating procedural and/or data management tasks using a Windows interface. Description of how to build models both interactively using the BUILD_EQ interface and graphically using the EQS Diagrammer.

This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses. This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.

This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses.

This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos　 input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model　 tested.

Thoroughly updated throughout, the new edition features:

All new screen shots featuring Amos Version 23.　　

Descriptions and illustrations of Amos’ new Tables View format which enables the specification of a structural model in spreadsheet form.　　　　

Key concepts and/or techniques that introduce each chapter.

Alternative approaches to model analyses when enabled by Amos thereby allowing users to determine the method best suited to their data.　

Provides analysis of the same model based on continuous and categorical data (Ch. 5) thereby enabling readers to observe two ways of specifying and testing the same model as well as compare results.

All applications based on the Amos graphical mode interface accompanied by more "how to" coverage of graphical techniques unique to Amos.

More explanation of key procedures and analyses that address questions posed by readers

All application data files are available at www.routledge.com/9781138797031.

The two introductory chapters in Section 1 review the fundamental concepts of SEM methodology and a general overview of the Amos program. Section 2 provides single-group analyses applications including two first-order confirmatory factor analytic (CFA) models, one second-order CFA model, and one full latent variable model. Section 3 presents multiple-group analyses applications with two rooted in the analysis of covariance structures and one in the analysis of mean and covariance structures. Two models that are increasingly popular with SEM practitioners, construct validity and testing change over time using the latent growth curve, are presented in Section 4. The book concludes with a review of the use of bootstrapping to address non-normal data and a review of missing (or incomplete) data in Section 5.

An ideal supplement for graduate level courses in psychology, education, business, and social and health sciences that cover the fundamentals of SEM with a focus on Amos, this practical text continues to be a favorite of both researchers and practitioners. A prerequisite of basic statistics through regression analysis is recommended but no exposure to either SEM or Amos is required.

Table of Contents

Section 1: Introduction 1. Structural Equation Modeling: The Basics 2. Using the Amos Program Section 2: Single-Group Analyses Confirmatory Factor Analytic Models 3.. Application 1: Testing the Factorial Validity of a Theoretical Construct (First-Order CFA Model) 4. Application 2: Testing the Factorial Validity of Scores from a Measurement Scale (First-Order CFA Model) 5. Application 3: Testing the Validity of Scores from a Measurement Scale (Second-Order CFA Model) Full Latent Variable Model 6. Application 5: Testing the Validity of a Causal Structure Section 3: Multiple-Group Analyses Confirmatory Factor Analytic Models 7. Application 5: Testing Factorial Invariance of Scales from a Measurement Scale (First-Order CFA Model) 8. Application 6: Testing Invariance of Latent Mean Structures (First-Order CFA Model) Full Latent Variable Model 9. Application 7: Testing Invariance of a Causal Structure Section 4: Other Important Applications 10. Application 8: Testing Evidence of Construct Validity: The Multitrait-Multimethod Model 11. Application 9: Testing Change Over Time: The Latent Growth Curve Model Section 5: Other Important Topics 12. Application 10: Use of Bootstrapping in Addressing Non-normal Data 13. Application 11: Addressing the Issues of Incomplete Data