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Using Complexity Theory for Research and Program Evaluation
Complexity as a paradigm has been underutilized by social work, but this cutting-edge pocket guide makes a convincing argument for its use. Every agency worker has been faced with a deluge of records, making it difficult to grasp onto structures and trends undergirding behavior. Complexity theory studies the interactions of competitive and cooperative tendencies of agents such as individuals, families, groups, or communities, making the case that there is a hidden order in things that are seemingly chaotic. Exploring their interactions involves identifying a set of simple rules that the agents follow, revealing patterns that emerge without a predetermined template. Readers will learn how to ...
Using Complexity Theory for Research and Program Evaluation
Readers will learn how to frame their research using the components found in complex systems by using their existing knowledge of research methods and applying basic mathematical concepts. Concepts such as bordering between chaos and equilibrium, diverse perspectives, diverse heuristics, robustness, and wisdom of crowds are considered and applied to social work research studies. Basic introductions on game theory, graph theory, Boolean logic, decision theory, and network science provide the necessary mathematical background for understanding interconnectedness and networking.
Participant Recruitment and Retention in Intervention and Evaluation Research
"This practical "how to" guide integrates a comprehensive, interdisciplinary review of literature, and a wealth of the authors' combined research experience into a framework for behavioral health and other investigators to successfully plan, budget, assess, engage in, analyze, and report participant recruitment and retention in intervention and evaluation research studies"--
Data Analysis with Small Samples and Non-normal Data
Introduction to nonparametrics -- Analyzing single variables and single groups -- Comparing two or more independent groups -- Comparing two or more related groups -- Predicting with multiple independent variables -- Appendix -- Index
Handbook of Research Methods in Complexity Science
This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book’s 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision makers alike.
Applied Cross-Cultural Data Analysis for Social Work
Applied Cross-Cultural Data Analysis for Social Work offers practical guides for data analysis in cross-cultural research. It shows how social workers can employ commonly-used statistical approaches to make meaningful comparisons in health, mental health, social and psychological phenomena across cultural groups. The book can also be used as a textbook for advanced research course in social work and allied fields and would benefit graduate students, faculty, and researchers.
The Practice of Research in Social Work
A target='b̲lank' href='http://www.sagepub.com/engelprsw3e'>img border='0' src='/IMAGES/companionwebsite.jpg' alt='A companion website is available for this text' width='75' height='20'/a Designed to help students develop skills in evaluating research and conducting studies, the Third Edition of the popular text, The Practice of Research in Social Work, makes principles of evidence-based practice come alive through illustrations of actual social work research. It introduces students to the study of research in social work and to.
Participatory Action Research
Conventional textbooks present PAR from a distanced perspective and with the assumption that beginners will gain practical PAR knowledge on their own. This book provides real world examples--first-hand accounts by the researchers who designed and implemented these PAR innovations. Shared recommendations and lessons learned provided in the final chapter are a unique contribution to students and early career researchers.
Basic Statistics in Multivariate Analysis
This pocket guide introduces readers to linear regression analysis, analysis of variance and covariance, and path analysis with an emphasis on the basic statistics. It prepares doctoral students and early career social work researchers with limited statistics exposure in the use of multivariate methods by providing an easy-to-understand presentation.
Analysis of Multiple Dependent Variables
This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM).
