Shenyang Guo's Books

Structural Equation Modeling

By: Natasha K. Bowen,Shenyang Guo

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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.

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Page Count

224

Publisher

Oxford University Press

Published Date

ISBN 10

0195367626

ISBN 13

9780195367621

Propensity Score Analysis

By: Shenyang Guo,Mark W. Fraser

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Propensity Score Analysis

By: Shenyang Guo,Mark W. Fraser

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.

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Page Count

449

Publisher

SAGE

Published Date

ISBN 10

1452235007

ISBN 13

9781452235004

Survival Analysis

By: Shenyang Guo

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Survival Analysis

By: Shenyang Guo

Survival analysis is a class of statistical methods for studying the occurrence and timing of events. With clearly written summaries and plentiful examples, 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.

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