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Guide to Writing Empirical Papers, Theses, and Dissertations
"Describes the quantitative research process--framing analytical questions, developing a comprehensive outline, providing a roadmap for the reader, and accessing indispensable computer and program tools. Supplies end-of-chapter checklists, extensive examples, and biobliographies."
Computer Technology and Social Issues
For managers, consultants, researchers, vendors of BPR and academics.
Data Analytics for the Social Sciences
Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals...
Hierarchical Linear Modeling
This book provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of original how-to applications articles following a standardard instructional format. The "guide" portion consists of five chapters by the editor, providing an overview of HLM, discussion of methodological assumptions, and parallel worked model examples in SPSS, SAS, and HLM software. The "applications" portion consists of ten contributions in which authors provide step by step presentations of how HLM is implemented and reported for introductory to intermediate applications.
Public Information Technology and E-governance
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 information on business plans, public-private partnerships, strategic planning, project management, implementation factors, and evaluation. An excellent text or reference, this book features several chapter case studies, a glossary, discussion questions, and chapter summaries to maximize comprehension of the subject.
Social Dimensions of Information Technology
This anthology brings together multiple viewpoints on the social dimensions of the revolution in information technology. The chapters cover social, political, educational, personal, and international dimensions of information technology impacts. Each chapter focuses on different aspects of the effects of computing and the new information technologies that have accelerated every area of human life. This book raises important issues with profound implications for public policy and societal development.
Digital Government
About the implementation of electronic government applications and future developments in the field.
Handbook of Research on Public Information Technology
"This book compiles estimable research on the global trend toward the rapidly increasing use of information technology in the public sector, discussing such issues as e-government and e-commerce; project management and information technology evaluation; system design and data processing; security and protection; and privacy, access, and ethics of public information technology"--Provided by publisher.
Analytic Mapping and Geographic Databases
The techniques of analytic mapping and of geographic information systems (GIS) have become increasingly important tools for analysing census, crime, environmental and consumer data. The authors discuss data access, transformation and preparation issues, and how to select the appropriate analytic graphics techniques.
Multilevel Modeling
Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLMTM provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.
