Methodological Sensitivities to Latent Class Analysis of Long-Term Criminal Trajectories
A recent and growing body of research has employed a semiparametric group-based approach to discover underlying developmental trajectories of crime. Enthusiasm for such latent class models has not been matched with robustness and sensitivity analyses to determine how conclusions from the method vary...
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Veröffentlicht in: | Journal of quantitative criminology 2004-03, Vol.20 (1), p.1-26 |
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description | A recent and growing body of research has employed a semiparametric group-based approach to discover underlying developmental trajectories of crime. Enthusiasm for such latent class models has not been matched with robustness and sensitivity analyses to determine how conclusions from the method vary according to fundamental methodological problems that inhere in criminological data. Using a sample of 500 delinquent boys and their official crime counts from ages 7 to 70, this paper systematically addresses how three concerns in longitudinal research—(a) length of follow-up, (b) the inclusion of exposure time (incarceration), and (3) data on involuntary desistance through death—influence our inferences about developmental trajectories. While there is some evidence of stability, a comparison of group number, shape, and group assignment across varying conditions indicates that all three data considerations can alter trajectory attributes in important ways. More precisely, longer-term data on offending and the inclusion of incarceration and mortality information appear to be key pieces of information, especially when analyzing high-rate offending patterns. |
doi_str_mv | 10.1023/B:JOQC.0000016696.02763.ce |
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Enthusiasm for such latent class models has not been matched with robustness and sensitivity analyses to determine how conclusions from the method vary according to fundamental methodological problems that inhere in criminological data. Using a sample of 500 delinquent boys and their official crime counts from ages 7 to 70, this paper systematically addresses how three concerns in longitudinal research—(a) length of follow-up, (b) the inclusion of exposure time (incarceration), and (3) data on involuntary desistance through death—influence our inferences about developmental trajectories. While there is some evidence of stability, a comparison of group number, shape, and group assignment across varying conditions indicates that all three data considerations can alter trajectory attributes in important ways. More precisely, longer-term data on offending and the inclusion of incarceration and mortality information appear to be key pieces of information, especially when analyzing high-rate offending patterns.</description><subject>Analysis</subject><subject>Career Criminals</subject><subject>Class Analysis</subject><subject>Crime</subject><subject>Criminal offenses</subject><subject>Criminal punishment</subject><subject>Criminals</subject><subject>Criminology</subject><subject>Drug related crimes</subject><subject>Imprisonment</subject><subject>Juvenile Delinquency</subject><subject>Latent class analysis</subject><subject>Latent Structure Analysis</subject><subject>Longitudinal Studies</subject><subject>Males</subject><subject>Methodological Problems</subject><subject>Modeling</subject><subject>Mortality</subject><subject>Property crimes</subject><subject>Recidivism</subject><subject>Research methodology</subject><subject>Sensitivity analysis</subject><subject>Trajectories</subject><subject>Violent crimes</subject><issn>0748-4518</issn><issn>1573-7799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkV1LwzAUhoMoOKc_QQi78K41H22a7m4rfjIZ4gTvQkxPZ0fXzKQT9u9NnSh4Y-CQi_O85xzeF6ERJTEljF9Ox_fzxyIm_aNC5CImLBM8NnCABjTNeJRleX6IBiRLZJSkVB6jE-9XAc-lZAP08gDdmy1tY5e10Q1-gtbXXf0RCjzuLJ7pDtoOF432Hk9a3ex87bGt8My2y2gBbo0LV6_r0MELp1dgOuuC9hQdVbrxcPb9D9Hz9dWiuI1m85u7YjKLDBeyiwTITELF8lSzkhHBNKSk1Ia-0oprAEM1IdwEOCdSlAZ0XgWGZZID1VXCh-hiP3fj7PsWfKfWtTfQNLoFu_VKkDSlPBEBHP0BV3brwtlesd6OlIZF_0GJzNMAjfeQcdZ7B5XaBAe02ylKVB-Lmqo-FvUbi_qKRRkI4vO9eOWDUT9KxrkQkmb8E3Uki7g</recordid><startdate>20040301</startdate><enddate>20040301</enddate><creator>Eggleston, Elaine P.</creator><creator>Laub, John H.</creator><creator>Sampson, Robert J.</creator><general>Plenum Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>K7.</scope><scope>WZK</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88G</scope><scope>8AM</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>M0O</scope><scope>M2M</scope><scope>M2S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20040301</creationdate><title>Methodological Sensitivities to Latent Class Analysis of Long-Term Criminal Trajectories</title><author>Eggleston, Elaine P. ; 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Enthusiasm for such latent class models has not been matched with robustness and sensitivity analyses to determine how conclusions from the method vary according to fundamental methodological problems that inhere in criminological data. Using a sample of 500 delinquent boys and their official crime counts from ages 7 to 70, this paper systematically addresses how three concerns in longitudinal research—(a) length of follow-up, (b) the inclusion of exposure time (incarceration), and (3) data on involuntary desistance through death—influence our inferences about developmental trajectories. While there is some evidence of stability, a comparison of group number, shape, and group assignment across varying conditions indicates that all three data considerations can alter trajectory attributes in important ways. More precisely, longer-term data on offending and the inclusion of incarceration and mortality information appear to be key pieces of information, especially when analyzing high-rate offending patterns.</abstract><cop>New York</cop><pub>Plenum Press</pub><doi>10.1023/B:JOQC.0000016696.02763.ce</doi><tpages>26</tpages></addata></record> |
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subjects | Analysis Career Criminals Class Analysis Crime Criminal offenses Criminal punishment Criminals Criminology Drug related crimes Imprisonment Juvenile Delinquency Latent class analysis Latent Structure Analysis Longitudinal Studies Males Methodological Problems Modeling Mortality Property crimes Recidivism Research methodology Sensitivity analysis Trajectories Violent crimes |
title | Methodological Sensitivities to Latent Class Analysis of Long-Term Criminal Trajectories |
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