A LOG-MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM-OFFENDER RELATIONSHIPS

This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing dat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Criminology (Beverly Hills) 2002-05, Vol.40 (2), p.457-480
Hauptverfasser: MESSNER, STEVEN F., DEANE, GLENN, BEAULIEU, MARK
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 480
container_issue 2
container_start_page 457
container_title Criminology (Beverly Hills)
container_volume 40
creator MESSNER, STEVEN F.
DEANE, GLENN
BEAULIEU, MARK
description This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing data mechanism is “ignorable.” As an alternative to these methods, we propose an imputation algorithm derived from a log‐multiplicative model that does not require this assumption. We apply this technique to estimate levels of homicides disaggregated by victim/offender relationship using the Federal Bureau of Investigation's Supplementary Homicide Report (SHR) data for 1996 and 1997, and we compare the resulting estimates with those obtained from the application of conventional procedures. Our results yield a larger proportion of stranger homicides than are obtained from the conventional methods.
doi_str_mv 10.1111/j.1745-9125.2002.tb00963.x
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_60097122</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>138938921</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4447-48de7f3ca973961b950eaef0e432e0ce2285c1bbae3075f0449b600799e743363</originalsourceid><addsrcrecordid>eNqVkU1v0zAchy0EEmXwHawduCX8_RbXXFCVJo1HXqYmXY9WEhypoVtH0oru2-Os0w5cEL7Ylp_fY1s_hK4J-MSNL71PJBeeIlT4FID6xwZABcw_v0Gz16O3aAZAiEfYnL9HH8axd1squJyhfoHTYuVlm7TSt6kOF5W-i_CiLItQu3WR46xYRimOizVepGkxAfkKJ0WmQ72MSrzVVYI3-fe82Ob4ToeVzrwijqN8Ga3xOkqfJWWib8uP6F1X70f76WW-Qps4qsLEcw9wF6deyzmXHp__sLJjba0kUwFplABb2w4sZ9RCaymdi5Y0TW0ZSNEB56oJAKRSVnLGAnaFPl-8j8Ph18mOR3O_G1u739cP9nAajYOVJJT-E2SKCJBcOfD6L7A_nIYH9wlDKQSKMpigrxeoHQ7jONjOPA67-3p4MgTMVJbpzdSImRoxU1nmpSxzduFvl_Dv3d4-_UfShGudcSGdwbsYduPRnl8N9fDTBJJJYbb5ymQ3oOK4SkzI_gAis6E7</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>220692309</pqid></control><display><type>article</type><title>A LOG-MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM-OFFENDER RELATIONSHIPS</title><source>Wiley Online Library Journals Frontfile Complete</source><source>HeinOnline Law Journal Library</source><source>Sociological Abstracts</source><creator>MESSNER, STEVEN F. ; DEANE, GLENN ; BEAULIEU, MARK</creator><creatorcontrib>MESSNER, STEVEN F. ; DEANE, GLENN ; BEAULIEU, MARK</creatorcontrib><description>This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing data mechanism is “ignorable.” As an alternative to these methods, we propose an imputation algorithm derived from a log‐multiplicative model that does not require this assumption. We apply this technique to estimate levels of homicides disaggregated by victim/offender relationship using the Federal Bureau of Investigation's Supplementary Homicide Report (SHR) data for 1996 and 1997, and we compare the resulting estimates with those obtained from the application of conventional procedures. Our results yield a larger proportion of stranger homicides than are obtained from the conventional methods.</description><identifier>ISSN: 0011-1384</identifier><identifier>EISSN: 1745-9125</identifier><identifier>DOI: 10.1111/j.1745-9125.2002.tb00963.x</identifier><identifier>CODEN: CRNYA8</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Criminology ; Homicide ; imputation ; log-multiplicative ; missing ; Murder ; Murders &amp; murder attempts ; Offenders ; Personal relationships ; Research Methodology ; Strangers ; Victim Offender Relations ; Victims ; Violent crime</subject><ispartof>Criminology (Beverly Hills), 2002-05, Vol.40 (2), p.457-480</ispartof><rights>Copyright American Society of Criminology May 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4447-48de7f3ca973961b950eaef0e432e0ce2285c1bbae3075f0449b600799e743363</citedby><cites>FETCH-LOGICAL-c4447-48de7f3ca973961b950eaef0e432e0ce2285c1bbae3075f0449b600799e743363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1745-9125.2002.tb00963.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1745-9125.2002.tb00963.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27325,27905,27906,33755,33756,45555,45556</link.rule.ids></links><search><creatorcontrib>MESSNER, STEVEN F.</creatorcontrib><creatorcontrib>DEANE, GLENN</creatorcontrib><creatorcontrib>BEAULIEU, MARK</creatorcontrib><title>A LOG-MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM-OFFENDER RELATIONSHIPS</title><title>Criminology (Beverly Hills)</title><description>This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing data mechanism is “ignorable.” As an alternative to these methods, we propose an imputation algorithm derived from a log‐multiplicative model that does not require this assumption. We apply this technique to estimate levels of homicides disaggregated by victim/offender relationship using the Federal Bureau of Investigation's Supplementary Homicide Report (SHR) data for 1996 and 1997, and we compare the resulting estimates with those obtained from the application of conventional procedures. Our results yield a larger proportion of stranger homicides than are obtained from the conventional methods.</description><subject>Algorithms</subject><subject>Criminology</subject><subject>Homicide</subject><subject>imputation</subject><subject>log-multiplicative</subject><subject>missing</subject><subject>Murder</subject><subject>Murders &amp; murder attempts</subject><subject>Offenders</subject><subject>Personal relationships</subject><subject>Research Methodology</subject><subject>Strangers</subject><subject>Victim Offender Relations</subject><subject>Victims</subject><subject>Violent crime</subject><issn>0011-1384</issn><issn>1745-9125</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqVkU1v0zAchy0EEmXwHawduCX8_RbXXFCVJo1HXqYmXY9WEhypoVtH0oru2-Os0w5cEL7Ylp_fY1s_hK4J-MSNL71PJBeeIlT4FID6xwZABcw_v0Gz16O3aAZAiEfYnL9HH8axd1squJyhfoHTYuVlm7TSt6kOF5W-i_CiLItQu3WR46xYRimOizVepGkxAfkKJ0WmQ72MSrzVVYI3-fe82Ob4ToeVzrwijqN8Ga3xOkqfJWWib8uP6F1X70f76WW-Qps4qsLEcw9wF6deyzmXHp__sLJjba0kUwFplABb2w4sZ9RCaymdi5Y0TW0ZSNEB56oJAKRSVnLGAnaFPl-8j8Ph18mOR3O_G1u739cP9nAajYOVJJT-E2SKCJBcOfD6L7A_nIYH9wlDKQSKMpigrxeoHQ7jONjOPA67-3p4MgTMVJbpzdSImRoxU1nmpSxzduFvl_Dv3d4-_UfShGudcSGdwbsYduPRnl8N9fDTBJJJYbb5ymQ3oOK4SkzI_gAis6E7</recordid><startdate>200205</startdate><enddate>200205</enddate><creator>MESSNER, STEVEN F.</creator><creator>DEANE, GLENN</creator><creator>BEAULIEU, MARK</creator><general>Blackwell Publishing Ltd</general><general>American Society of Criminology</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7U4</scope><scope>7XB</scope><scope>88G</scope><scope>88J</scope><scope>8AM</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGRYB</scope><scope>BHHNA</scope><scope>CCPQU</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>JBE</scope><scope>K7.</scope><scope>M0O</scope><scope>M2M</scope><scope>M2O</scope><scope>M2R</scope><scope>M2S</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>S0X</scope><scope>WZK</scope></search><sort><creationdate>200205</creationdate><title>A LOG-MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM-OFFENDER RELATIONSHIPS</title><author>MESSNER, STEVEN F. ; DEANE, GLENN ; BEAULIEU, MARK</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4447-48de7f3ca973961b950eaef0e432e0ce2285c1bbae3075f0449b600799e743363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Algorithms</topic><topic>Criminology</topic><topic>Homicide</topic><topic>imputation</topic><topic>log-multiplicative</topic><topic>missing</topic><topic>Murder</topic><topic>Murders &amp; murder attempts</topic><topic>Offenders</topic><topic>Personal relationships</topic><topic>Research Methodology</topic><topic>Strangers</topic><topic>Victim Offender Relations</topic><topic>Victims</topic><topic>Violent crime</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MESSNER, STEVEN F.</creatorcontrib><creatorcontrib>DEANE, GLENN</creatorcontrib><creatorcontrib>BEAULIEU, MARK</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Criminology Collection</collection><collection>Sociological Abstracts</collection><collection>ProQuest One Community College</collection><collection>Sociological Abstracts</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Criminal Justice</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Criminology (Beverly Hills)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MESSNER, STEVEN F.</au><au>DEANE, GLENN</au><au>BEAULIEU, MARK</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A LOG-MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM-OFFENDER RELATIONSHIPS</atitle><jtitle>Criminology (Beverly Hills)</jtitle><date>2002-05</date><risdate>2002</risdate><volume>40</volume><issue>2</issue><spage>457</spage><epage>480</epage><pages>457-480</pages><issn>0011-1384</issn><eissn>1745-9125</eissn><coden>CRNYA8</coden><abstract>This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing data mechanism is “ignorable.” As an alternative to these methods, we propose an imputation algorithm derived from a log‐multiplicative model that does not require this assumption. We apply this technique to estimate levels of homicides disaggregated by victim/offender relationship using the Federal Bureau of Investigation's Supplementary Homicide Report (SHR) data for 1996 and 1997, and we compare the resulting estimates with those obtained from the application of conventional procedures. Our results yield a larger proportion of stranger homicides than are obtained from the conventional methods.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1745-9125.2002.tb00963.x</doi><tpages>24</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0011-1384
ispartof Criminology (Beverly Hills), 2002-05, Vol.40 (2), p.457-480
issn 0011-1384
1745-9125
language eng
recordid cdi_proquest_miscellaneous_60097122
source Wiley Online Library Journals Frontfile Complete; HeinOnline Law Journal Library; Sociological Abstracts
subjects Algorithms
Criminology
Homicide
imputation
log-multiplicative
missing
Murder
Murders & murder attempts
Offenders
Personal relationships
Research Methodology
Strangers
Victim Offender Relations
Victims
Violent crime
title A LOG-MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM-OFFENDER RELATIONSHIPS
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T07%3A41%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20LOG-MULTIPLICATIVE%20ASSOCIATION%20MODEL%20FOR%20ALLOCATING%20HOMICIDES%20WITH%20UNKNOWN%20VICTIM-OFFENDER%20RELATIONSHIPS&rft.jtitle=Criminology%20(Beverly%20Hills)&rft.au=MESSNER,%20STEVEN%20F.&rft.date=2002-05&rft.volume=40&rft.issue=2&rft.spage=457&rft.epage=480&rft.pages=457-480&rft.issn=0011-1384&rft.eissn=1745-9125&rft.coden=CRNYA8&rft_id=info:doi/10.1111/j.1745-9125.2002.tb00963.x&rft_dat=%3Cproquest_cross%3E138938921%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=220692309&rft_id=info:pmid/&rfr_iscdi=true