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Latent Markov Model for Analyzing Temporal Configuration for Violence Profiles and Trajectories in a Sample of Batterers
Oleh:
Ip, Edward H.
;
Jones, Alison Snow
;
Heckeret, D. Alex
;
Qiang Zhang
;
Gondolf, Edward D.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Sociological Methods & Research (SMR) vol. 39 no. 02 (Nov. 2010)
,
page 222-255.
Topik:
Domestic Violence
;
Hidden Markov Model
;
Latent Trait Regression
;
Trajectory Analysis
;
Abusive Behavior
;
Latent Variable
;
Junction Tree
Fulltext:
Sociological Methods and Research 2010; 39; 2; 222.pdf
(436.2KB)
Ketersediaan
Perpustakaan PKPM
Nomor Panggil:
S28
Non-tandon:
tidak ada
Tandon:
1
Lihat Detail Induk
Isi artikel
In this article, the authors demonstrate the utility of an extended latent Markov model for analyzing temporal configurations in the behaviors of a sample of 550 domestic violence batterers. Domestic violence research indicates that victims experience a constellation of abusive behaviors rather than a single type of violent outcome. There is also evidence that observed behaviors are highly dynamic, with batterers cycling back and forth between periods of no abuse and violent or controlling behavior. These issues pose methodological challenges for social scientists. The extended latent Markov method uses multiple indicators to characterize batterer behaviors and relates the trajectories of violent states to predictors of abuse at baseline. The authors discuss both methodological refinements of the latent Markov models and policy implications of the data analysis.
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