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Routledge Statistical Power Analysis with Missing Data Book

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Description

Improve your research methodology with Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach by Routledge. As statistical power analysis changes how researchers conduct and evaluate studies, understanding the impact of incomplete data is more important than ever. This volume provides a unified framework that connects statistical power with the challenges of missing data. Designed for researchers with an introductory familiarity with structural equation modeling, this book makes complex topics accessible and practical. It addresses essential questions regarding how missing data influences statistical power within a study. You will learn to evaluate how different amounts and types of missing data affect your results, allowing for more accurate research planning and execution. This resource is an essential addition for those working within social sciences and advanced statistical modeling.

Key Features

Integrates statistical power and incomplete data under one common framework for easier research application.

Provides accessible explanations for readers who have an introductory familiarity with structural equation modeling.

Explains how missing data specifically affects the statistical power within your research studies.

Offers guidance on determining likely power levels based on different amounts and types of missing data.

Supports better research evaluation by addressing the modern developments in statistical analysis of incomplete data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 January 2010
Listed Since
23 March 2009

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