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Survival Analysis
Survival analysis is a class of statistical methods for studying the occurrence and timing of events. Statistical analysis of longitudinal data, particularly censored data, lies at the heart of social work research, and many of social work research's empirical problems, such as child welfare, welfare policy, evaluation of welfare-to-work programs, and mental health, can be formulated as investigations of timing of event occurrence. Social work researchers also often need to analyze multilevel or grouped data (for example, event times formed by sibling groups or mother-child dyads or recurrences of events such as reentries into foster care), but these and other more robust methods can be challenging to social work researchers without a background in higher math. With clearly written summaries and plentiful examples, all written with social work issues and social work researchers in mind, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before, to the field's benefit.
Propensity Score Analysis
Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
Structural Equation Modeling
Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The authors demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources. Examples from social work literature highlight best practices for the specification, estimation, interpretation, and modification of structural equation models. Unlike most sources on SEM, this book provides clear guidelines on how to evaluate SEM output and how to proceed when model fit is not acceptable. Oftentimes, confirmatory factor analysis and general structure modeling are the most flexible, powerful, and appropriate choices for social work data. Richly illustrated with figures, equations, matrices, and tables, this pocket guide empowers social workers with a set of defensible analysis strategies that allows for competent, confident use of SEM.
Vacation Goose Travel Guide Shenyang China
Vacation Goose Travel Guide Shenyang China is an easy to use small pocket book filled with all you need for your stay in the big city. Top 50 city attractions, top 2 nightlife adventures, top 50 city restaurants, top 50 shopping centers, top 50 hotels, and more than a dozen monthly weather statistics. This travel guide is up to date with the latest developments of the city as of 2017. We hope you let this pocket book be part of yet another fun Shenyang adventure :)
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"--
Analysis of Multiple Dependent Variables
Multivariate procedures allow social workers and other human services researchers to analyze complex, multidimensional social problems and interventions in ways that minimize oversimplification. 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). Each procedure will be presented in a way that allows readers to compare and contrast them in terms of (1) appropriate research context; (2) required statistical assumptions, including lev...
Culturally Competent Research
Adopting ethnography as a meta-framework for social work research, this pocket guide provides a detailed, step-by-step approach for integrating cultural components and cultural awareness into the research process.
Group Work Research
This book takes the reader through all the phases of designing and implementing group work research -- that is, formulating a research question, developing hypotheses, selecting instruments, and disseminating.
Qualitative Methods for Practice Research
Qualitative methods have become increasingly popular among researchers, and while many comprehensive textbooks describe the standard techniques and philosophical assumptions, it is often assumed that practitioners are consumers of research and not producers. This innovative book describes how qualitative methods can be used to investigate the in-vivo use of theory in social work practice. It offers not just a comprehensive overview of methods, but a concise, accessible guide focused on how to study and explicate application of theory, and the creative tension that inevitably exists between theory and practice. Theory-to-practice gaps are indispensable conditions for conducting engaged schola...
