Author: Steven Lukes,Cram101 Textbook Reviews,W. D. Halls
Publisher: Academic Internet Pub Incorporated
Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780029079409 .
Social researchers increasingly find themselves looking beyond conventional methods to address complex research questions. This is the first book to comprehensively examine emergent qualitative and quantitative theories and methods across the social and behavioral sciences. Providing scholars and students with a way to retool their research choices, the volume presents cutting-edge approaches to data collection, analysis, and representation. Leading researchers describe alternative uses of traditional quantitative and qualitative tools; innovative hybrid or mixed methods; and new techniques facilitated by technological advances. Consistently formatted chapters explore the strengths and limitations of each method for studying different types of research questions and offer practical, in-depth examples.
A rich source of ideas about sociological research methods to assist the researcher in determining what method will provide the most reliable and useful knowledge, how to choose between different methodologies, and what constitutes the most fruitful relationship between sociological theories and research methods.
Case Study Research: Principles and Practices provides a general understanding of the case study method as well as specific tools for its successful implementation. These tools are applicable in a variety of fields including anthropology, business and management, communications, economics, education, medicine, political science, psychology, social work, and sociology. Topics include: a survey of case study approaches; a methodologically tractable definition of 'case study'; strategies for case selection, including random sampling and other algorithmic approaches; quantitative and qualitative modes of case study analysis; and problems of internal and external validity. The second edition of this core textbook is designed to be accessible to readers who are new to the subject and is thoroughly revised and updated, incorporating recent research, numerous up-to-date studies and comprehensive lecture slides.
Advances in Social Science Methodology: Volume 4 is separated into two parts: factor analytic methods and non-factor analytic methods. The first section begins with an examination of basic issues in classical measurement and correlation, forming a foundation for subsequent discussions. Further chapters discuss explained-variance partitioning, repeated measures designs, canonical correlation analyses and selected parametric solutions to the Behrens-Fisher problem. Part two focuses on diverse aspects of factor analysis including an exploration of contemporary analytic and reporting practices in counselling psychology research, factor analyses of entities other than variables, confirmatory extraction and rotation and finally, an incisive treatment of higher-order exploratory methods.
Author: Sharon Vaughn,Jeanne Shay Schumm,Jane M. Sinagub
While there are many books that address focus groups, most are directed at business and marketing. This book differs by demonstrating the specific steps necessary to conduct focus groups in educational and psychological settings. Using numerous examples, the authors show how to prepare for a focus group, create a moderator's guide, select a setting and analyze results. In addition, there is a chapter on focus groups with children and adolescents. Each chapter contains procedural tables as well as applications for performing `trial runs' of the techniques discussed.
Author: Kenneth S. Shultz,David J. Whitney,Michael J. Zickar
This book helps readers apply testing and measurement theories. Featuring 22 self-standing modules, instructors can pick and choose the ones that are most appropriate for their course. Each module features an overview of a measurement issue and a step-by-step application of that theory. Best practices provide recommendations for ensuring the appropriate application of the theory. Practical questions help students assess their understanding of the topic while the examples allow them to apply the material using real data. Two cases in each module depict typical dilemmas faced when applying measurement theory followed by Questions to Ponder to encourage critical examination of the issues noted in the cases. Each module contains exercises some of which require no computer access while others involve the use of SPSS to solve the problem. The book’s website houses the accompanying data sets and more. The book also features suggested readings, a glossary of the key terms, and a continuing exercise that incorporates many of the steps in the development of a measure of typical performance. Updated throughout to reflect recent changes in the field, the new edition also features: --A new co-author, Michael Zickar, who updated the advanced topics and added the new module on generalizability theory (Module 22). -Expanded coverage of reliability (Modules 5 & 6) and exploratory and confirmatory factor analysis (Modules 18 & 19) to help readers interpret results presented in journal articles. -Expanded Web Resources, Instructors will now find: suggested answers to the book’s questions and exercises; detailed worked solutions to the exercises; and PowerPoint slides. Students and instructors can access the SPSS data sets; additional exercises; the glossary; and website references that are helpful in understanding psychometric concepts. Part 1 provides an introduction to measurement theory and specs for scaling and testing and a review of statistics. Part 2 then progresses through practical issues related to text reliability, validation, meta-analysis and bias. Part 3 reviews practical issues related to text construction such as the development of measures of maximal performance, CTT item analysis, test scoring, developing measures of typical performance, and issues related to response styles and guessing. The book concludes with advanced topics such as multiple regression, exploratory and confirmatory factor analysis, item response theory (IRT), IRT applications including computer adaptive testing and differential item functioning, and generalizability theory. Ideal as a text for any psychometrics, testing and measurement, or multivariate statistics course taught in psychology, education, marketing and management, professional researchers in need of a quick refresher on applying measurement theory will also find this an invaluable reference.
Jean Thioulouse,Stéphane Dray,Anne-Béatrice Dufour,Aurélie Siberchicot,Thibaut Jombart,Sandrine Pavoine
Author: Jean Thioulouse,Stéphane Dray,Anne-Béatrice Dufour,Aurélie Siberchicot,Thibaut Jombart,Sandrine Pavoine
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs. In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.
Facts, Frameworks, and Forecasts calls for rethinking the development of criminological theory. In her introduction, Joan McCord argues that the field is ready for new approaches and that its progress depends on a sound factual base. Examining the discipline's research design, methodology, and quantitative analysis efforts, the contributors identify significant advances in criminological theory. This empirical orientation results in a balanced blend of information and speculation. This book contains a comprehensive review. The first chapter describes biological conditions that have theoretical links with criminal behaviorâending with a discussion of how biological and social conditions may interact to influence criminal behavior. Early chapters discuss general issues related to crime. These are followed by expositions of theoretical orientations not typically found in criminological literature. The second half of the book describes seven longitudinal studies in four countries. The authors interpret their data to expose biological, social, and psychological factors they believe may influence criminal behavior. These contributors include: Guenther Knoblich and Roy King, Daniel Glaser, Robert A. Rosellini and Robin L. Lashley, Robert J. Sampson, Ellen S. Cohn and Susan O. White, Joan McCord, L. Rowell Huesmann and Leonard D. Eron, Robert Cairns and Beverly Cairns, Richard E. Tremblay, Patricia Cohen and Judith S. Brook, David P. Farrington and David Magnussen, Britt af Klinteberg, and Hakan Stattin. Facts, Frameworks, and Forecasts addresses the observation of noted criminologist Marvin Wolfgang that criminological theory had stagnated. This groundbreaking work, available in paperback for the first time, is as relevant now as when first published. It should be read by all concerned with data-related approaches to criminology.
Tradition recognises five social sciences: anthropology, economies, social psychology, sociology, and political science. But who knows what is going on in all five disciplines? Social scientists from one discipline often know little or nothing about the progress made by social scientists from another discipline working on essentially the same social problem. Sometimes, even of a neighbouring discipline is terra incognita. the methodology The problem becomes worse when we widen the remit to natural scientists and engineers. I have found little evidence myself that they see themselves as standing on the other side of an unbridgeable golf between two cultures. They observe the intellectual excesses of those few 'newage' social scientists who see themselves fighting a 'science war', but the ignorance of these innumerate critics is so apparent in their grossly naive attacks on natural science, that they are not taken seriously. However, although natural scientists appreciate that most social science is genuine science, they seldom know much about how and why it is done as it iso This can lead to serious inefficiencies in areas in which the traditional frontiers between social and natural science are melting away. An example is the frontier between the economies of imperfeet competition and evolutionary biology. Reversing the usual bias, the evolutionary biologists commonly know little mathematics, and hence find the game theory literature hard to read, with the result that they often spend their time re-inventing the wheel.
Proceedings of the International Conference in Sustainability in Energy and Buildings (SEB’09)
Author: Shaun H. Lee
Publisher: Springer Science & Business Media
Category: Business & Economics
This volume represents the proceedings of the First International Conference on S- tainability in Energy and Buildings, SEB’09, held in the City of Brighton and Hove in the United Kingdom, organised by KES International with the assistance of the World Renewable Energy Congress / Network, and hosted by the University of Brighton. KES International is a knowledge transfer organisation providing high-quality c- ference events and publishing opportunities for researchers. The KES association is a community consisting of several thousand research scientists and engineers who p- ticipate in KES activities. For over a decade KES has been a leader in the area of Knowledge Based and Intelligent information and Engineering Systems. Now KES is starting to make a contribution in the area of Sustainability and Renewable Energy with this first conference specifically on renewable energy and its application to - mestic and other buildings. Sustainability in energy and buildings is a topic of - creasing interest and importance on the world agenda. We therefore hope and intend that this first SEB event may grow and evolve into a conference series. KES International is a member of the World Renewable Energy Congress / N- work which is Chaired by Professor Ali Sayigh. We are grateful to Professor Sayigh for the collaboration and assistance of WREC/N in the organisation of SEB’09. We hope to continue to work with WREC/N in the future on projects of common interest.
Constructing Social Research answers the question: What is social science? Updated throughout with new references and examples, the Third Edition of this innovative text by Charles C. Ragin and Lisa M. Amoroso shows the unity within the diversity of activities called social research to help students understand how all social researchers construct representations of social life using theories, systematic data collection, and careful examination of that data.