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

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Description

Master complex social science research with Log-Linear Models for Event Histories. This academic text addresses a significant challenge in event history analysis: handling missing information on relevant variables during the study of social change processes. Author Jeroen K. Vermunt provides a comprehensive approach to solving missing data problems. By identifying the fundamental similarities between log-linear, hazard, and event history models, this book offers a unified method for researchers. It is designed for those studying why certain individuals experience specific transitions or changes more frequently than others. This volume is part of the Advanced Quantitative Techniques in the Social Sciences series from Sage Publications. It serves as a specialized resource for scholars and students needing to improve the accuracy of their longitudinal data analysis and social process modeling.

Key Features

Addresses missing data problems within event history analysis to improve research accuracy.

Provides a general approach based on the similarities between log-linear and hazard models.

Explains the processes of social change through advanced quantitative techniques.

Part of the Advanced Quantitative Techniques in the Social Sciences series.

Developed by author Jeroen K. Vermunt for specialized social science applications.

Product Specifications

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

Barcode

No barcode data available

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