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Sage Publishing Sage Log-Linear Models for Event Histories - Jeroen K. Vermunt

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Description

Log-Linear Models for Event Histories by Jeroen K. Vermunt provides a specialized look at event history analysis within the social sciences. This method helps researchers explain why certain individuals experience specific transitions or changes more frequently than others. A major challenge in this field is dealing with missing information on relevant variables, which can impact the accuracy of social change studies. This book addresses these difficulties by presenting a general approach to missing data problems. The author bases this method on the connections between log-linear, hazard, and event history models. Part of the Advanced Quantitative Techniques in the Social Sciences series by Sage Publishing, this text is designed to help researchers navigate complex data sets and improve their understanding of social processes.

Key Features

Author Jeroen K. Vermunt presents a general approach to managing missing data problems in event history analysis.

This Sage Publishing book explores the similarities between log-linear, hazard, and event history models.

The text provides methods for explaining why specific people experience transitions or social changes more than others.

Part of the Advanced Quantitative Techniques in the Social Sciences series for specialized academic study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 June 1997
Listed Since
05 February 2007

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No barcode data available

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