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Factor Analysis and Dimension Reduction in R provides coverage with worked examples of a large number of dimension reduction procedures along with model performance metrics to compare them. This book will be suitable for graduate level and optional module courses for social scientists

Factor Analysis and Dimension Reduction in R provides coverage with worked examples of a large number of dimension reduction procedures along with model performance metrics to compare them. This book will be suitable for graduate level and optional module courses for social scientists

This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses.

This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses.

Bridging the divide between books on thesis and dissertation writing and those on methodology, this unique text explores the quantitative research process. Framing analytical questions, developing a comprehensive outline, it provides a roadmap for the reader, and accessing indispensable computer and program tools. It supplies end-of-chapter checklists, extensive examples, bibliographies, helpful references, drawings, photographs, and tables an...

E-government has emerged not merely as a specialization in public administration but as a transformative force affecting all leaves and functions in government. Digital Government: Principles and Best Practices, written by a collection of practitioners and researchers, provides an overview of the management challenges and issues involved in seeking a new form of governance - digital government.

This anthology brings together viewpoints of the social dimensions of the revolution in information technology. The chapters cover political, social, educational, personal and international dimensions of information technology impacts.

This book provides a brief, easy-to-read guide to implementing hierarchical linear modelling using the three leading software platforms, followed by a set of application articles based on recent work published in leading journals and as part of doctoral dissertations. The "guide" portion consists of three chapters by the editor, covering basic to intermediate use of SPSS, SAS, and HLM for purposes for hierarchical linear modelling, while the "...

The techniques of analytic mapping and of geographic information systems (GIS) have become increasingly important tools for analyzing census, crime, environmental and consumer data. The authors of this significant volume discuss data access, transformation and preparation issues, and how to select the appropriate analytic graphics techniques through a review of various GIS and common data sources, such as census products, TIGER files, and CD-R...

One of the most exciting developments in fighting crime at the turn of the twenty-first century has been the integration of Geographic Information Systems (GIS) into law enforcement, and includes crime analysis. This book provides an overview of the implementation and integration of GIS technology into various aspects of law enforcement, including important mapping concepts and their use in crime analysis. Crime mapping basics are discussed, i...

The nature of governance is rapidly changing, due to new technologies which expand public sector capabilities. Modern Public Information Technology Systems: Issues and Challenges examines the most important dimensions of managing information technology in the public sector. It explores the impact of information technology on governmental accountability and distribution of power, the implications of privatization as an IT business model, and th...

This annual publication deals with how microcomputers and other computers can be applied to improving the explanatory and evaluative roles of modern social science. Each volume contains chapters by experts in political science, psychology, sociology, economics and computer science.

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neur...

Written By A Leading Scholar Of Public Information Systems, Public Information Technology And E-Governance Is A Comprehensive, Well-Balanced And Up-To-Date Resource On Public Information Technology And E-Government. Based On Thousands Of Academic And Practitioner Studies And Reports, This Book Provides Policy Information On E-Democracy, Access Issues, Privacy, Security, Regulatory, Enforcement And Taxation Issues, As Well As Management Informa...

Written by noted academics and public administration practitioners, this book addresses general policy and administrative issues in this arena as well as the information technology skills needed by public managers.