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This book introduces and describes four techniques, which are at the core of professional practice and education: The first technique , curve-fitting/extrapolation, projects an area' s population, employment, or other characteristics by identifying and extending historical trends. The second technique, the cohort-component technique, projects an area' s population by dividing it into a uniform set of population subgroups or cohorts and applying the three components of population change-mortality, fertility, and migration-to each cohort. The third technique, the economic base technique, projects local economic change by dividing a local economy into basic and nonbasic sectors and by focusing analytic attention on the basic sector. The fourth technique, the shift-share technique, projects an area's economic activity by relating it to the activity of the state or nation in which it is located.
Concentrating on three main themes - environmental complexity, community as the target of intervention, and commitment to social justice - Community Theory and Practice updates and expands the current boundaries of thinking about community organization. This book is an important resource for social work students, educators, and practitioners, as well as those who work in the areas of sociology, urban studies, community organization and development, and criminology, and other areas of social study and policy.
First Published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.
Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.
In Communities and Networks, Katherine Giuffre takes the science of social network analysis and applies it to key issues of living in communities, especially in urban areas, exploring questions such as: How do communities shape our lives and identities? How do they foster either conformity or innovation? What holds communities together and what happens when they fragment or fall apart? How is community life changing in response to technological advances? Refreshingly accessible and built on fascinating case examples, this unique book provides not only the theoretical grounding necessary to understand how and why the burgeoning area of social network analysis can be useful in studying communities, but also clear technical explanations of the tools of network analysis and how to gather and analyze real-world network data. Network analysis allows us to see community life in a new perspective, with sometimes surprising results and insights, and this book enables readers to gain a deeper understanding of social life and the relationships that build (and break) communities. This engaging text will be an exciting new resource for upper-level undergraduate and beginning graduate students in a wide range of courses including social network analysis, community studies, urban studies, organizational studies, and quantitative methods.
"The world is changing rapidly and the practice of community organizing needs to change with it. Representing both an homage to, and a departure from the "alinsky traditions" of organizing, Consensus Organizing offers techniques that are specifically designed for urban and rural communities struggling to succeed in the global economy and the information age. Ohmer and DeMasi are experienced organizers who offer a relentlessly thorough examination of the process of bringing diverse communities together to make change and to bridge the ethnic and economic divisions that keep many communities from succeeding." —Bill Traynor Executive Director, Lawrence CommunityWorks Inc. A person doesn′t have to be a consensus organizer to think like one. Consensus Organizing: A Community Development Workbook—A Comprehensive Guide to Designing, Implementing, and Evaluating Community Change Initiatives helps students and practitioners begin to think like consensus organizers and incorporate this way of strategic thinking into their lives and their work. Through a wide range of exercises, role-play activities, case scenarios, and discussion questions, this workbook presents the conceptual framework for consensus organizing and provides a practical and experiential approach to understanding and applying consensus organizing to address a range of issues. This workbook is designed to be used by itself or along with Mike Eichler′s text Consensus Organizing: Building Communities of Mutual Self Interest (SAGE, 2007). Key Features and Benefits Provides a step-by-step guide on how to conduct a community analysis of both internal and external neighborhood resources Brings consensus organizing to life through case studies based on the real-life experiences of the authors Offers field exercises that engage the reader in applying and practicing consensus organizing Provides practical tools that community organizers and practitioners can use in their daily work Includes a sample job description, work plan, monitoring report, and field report for hiring and supervising consensus organizers Presents tools for describing and evaluating consensus organizing and community-level interventions Accompanying Website Instructors and students have access to the many activities and cases on the accompanying website.
A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.
Analysis of Ecological Communities offers a rationale and guidance for selecting appropriate, effective, analytical methods in community ecology. The book is suitable as a textbook and reference book on methods for multivariate analysis of ecological communities and their environments. The book covers distance measures, data transformation, outlier analysis, coordination, cluster analysis, PCA RA, CA, DCA, NMS, NMS, CCA, Bray-Curtis, MRPP, Mantel test, discriminant analysis, twinspan, classification and regression trees, structural equation modeling, and more. It also includes brief treatments of community sampling and diversity measures. The 304 page book is richly illustrated. It provides many examples from the literature and demonstrations of basic principles with simulated and real data sets.
Community-Based Qualitative Research: Approaches for Education and the Social Sciences by Laura Ruth Johnson is a practical text that integrates theoretical perspectives with guidelines for designing and implementing community-based qualitative research projects. Coverage of participatory research designs and approaches is complemented by chapters on specific aspects of this research process, such as developing relationships and sharing findings to strengthen programs. Included are useful handouts and templates for applying to the reader’s own projects, and end-of-chapter questions for self-reflection and class discussion. Readers will find the book’s engaging case studies, interdisciplinary real-life examples, and insights from project participants as a helpful foundation for future work in the field.
Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R. Mark Gardener is both an ecologist and an analyst. He has worked in a range of ecosystems around the world and has been involved in research across a spectrum of community types. His knowledge of R is largely self-taught and this gives him insight into the needs of students learning to use R for complicated analyses.