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Analysis of Teacher Perceptions of Professional Learning Community Dimensions in Traditional Schools

Teachers may benefit from the opportunity to be part of a professional community of learners, but it is not clear that investment in developing professional learning communities (PLCs) is required in order to accrue the benefits of formal PLCs. This quantitative, post-test control group design study, based upon the tenets of social constructivism and PLC model of DuFour, Hord, and the Southwest Educational Development Laboratory (SEDL), compared PLC and non-PLC schools along the five Hord PLC dimensions of leadership, values and vision, collective learning, shared teaching, and supportive conditions. Schools selected for the study were public schools in southeastern North Carolina, including two PLC schools and two non-PLC schools. If there are no significant differences between PLC and non-PLC schools in terms of the presence/absence of the Hord dimensions, then it may not be worth the investment of resources to develop PLC schools. Using independent samples t tests, the study examined the difference in the perception of teachers in PLC and non-PLC schools in relation to the five PLC dimensions as measured by the School Professional Staff as Learning Community survey, with comparison by whole groups as well as groups disaggregated by gender, ethnicity, years of teaching experience, degree acquired, and level of school (elementary or secondary). Of the 102 t tests conducted, 12 tests showed significance. Four tests showed significant differences between elementary and secondary levels within three of the five dimensions: shared vision, collective learning, and shared practice. Three significant differences were found in gender for leadership and shared vision; and three between PLC and non-PLC schools in the dimensions of collective learning and shared practices. Two significant differences were found in experience level of teacher for collective learning. In terms of social change, the results of the study were inconclusive in terms of resource allocation for PLC development. However, further research, especially in the areas of educational level and gender, was indicated.

... Data Analysis for Hypothesis 1 ......................................................................................
...68 Whole Group Analysis for Dimension1 ....................................................................
.....69 Whole Group Analysis for Dimension 2 ...

The Stability-diversity-complexity Debate of Theoretical Community Ecology: A Philosophical Analysis

The stability-diversity-complexity debate has persisted as a central focus of theoretical ecology for half a century. The debate concerns the deceptively simple question of whether there is a causal relationship between the complexity and/or diversity of biological communities and their stability. Historical analysis of the debate shows that conflicting claims different studies seem to support indicate an underlying lack of conceptual clarity about the three concepts.

As Section 4 made clear, Strawson's criticism of explication was based on a more
substantive conception of conceptual analysis than discussed above (§5.1). This
view of conceptual analysis and the conception of definition that accompanies ...

Applications of Social Network Analysis for Building Community Disaster Resilience

Workshop Summary

Social Network Analysis (SNA) is the identification of the relationships and attributes of members, key actors, and groups that social networks comprise. The National Research Council, at the request of the Department of Homeland Security, held a two-day workshop on the use of SNA for the purpose of building community disaster resilience. The workshop, summarized in this volume, was designed to provide guidance to the DHS on a potential research agenda that would increase the effectiveness of SNA for improving community disaster resilience. The workshop explored the state of the art in SNA and its applications in the identification, construction, and strengthening of networks within U.S. communities. Workshop participants discussed current work in SNA focused on characterizing networks; the theories, principles and research applicable to the design or strengthening of networks; the gaps in knowledge that prevent the application of SNA to the construction of networks; and research areas that could fill those gaps. Elements of a research agenda to support the design, development, and implementation of social networks for the specific purpose of strengthening community resilience against natural and human-made disasters were discussed.

Analysis. for. Improved. Disaster. Preparedness. and. Intervention. Planning.
Chapter 2 summarized presentations and discussions of the first session of the
workshop regarding case studies and real-world examples of social network
analysis ...

Social Network Analysis - Community Detection and Evolution

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

Berger-Wolf TY, Saia J (2006) A framework for analysis of dynamic social
networks. In: Proceedings of the 12th ACM SIGKDD international conference on
knowledge discovery and data mining. Philadelphia, pp 523–528 8. Borgatti SP,
Everett ...

Data Analysis in Community and Landscape Ecology

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 ordination Outline of Chapter 5 Correspondence analysis (CA) and
detrended correspondence analysis (DCA) From weighted averaging to
correspondence analysis Two-way weighted averaging algorithm Diagonal
structures: properties ...

Multivariate Analysis in Community Ecology

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.

Direct gradient analysis is used to display the distribution of organisms along
gradients of important environmental factors. By contrast, ordination and
classification techniques generally start with the analysis of community data
alone and, only ...

Community Organizing and Community Building for Health

This updated and revised edition of a highly praised volume provides meaningful insights into the systems of inequality in the United States - such as race, class, and gender - that impact health. Updated versions of a number of the original chapters, as well as new chapters and appendixes, address areas such as using community organizing to influence policy; using the arts in community building and organizing; online activism; and the role of cultural humility and systems change in building effective partnerships between local health departments and community residents.

JVloRE THAN FIFTY years ago, German social psychologist Kurt Lewin ( 1947)
developed force field analysis as a way of understanding social situations and
promoting change. Half a century later, health and social service professionals
and ...