Using Demographic Risk Factors to Explain Variations in the Incidence of Violence Against Women
This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Sur...
Gespeichert in:
| Veröffentlicht in: | Journal of interpersonal violence 2002-12, Vol.17 (12), p.1239-1262 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1262 |
|---|---|
| container_issue | 12 |
| container_start_page | 1239 |
| container_title | Journal of interpersonal violence |
| container_volume | 17 |
| creator | O'Donnell, Christopher J. Smith, Angie Madison, Jeanne R. |
| description | This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Survey. For purposes of comparison, we identified a set of benchmark demographic characteristics as those occurring most frequently in the data set and estimated that if a woman were to have all of these characteristics, the probability she would have experienced violence in the past 12 months was 6.7%. We found that the risk varied with levels of postschool education, income, ethnic background, number and age of children, marital status, and age. Employment status, school-leaving age, and socioeconomic status had no statistically significant effect on the risk of experiencing violence once other factors were considered. This analysis may provide a basis for violence reduction and prevention programs. |
| doi_str_mv | 10.1177/088626002237854 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_60459076</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_088626002237854</sage_id><sourcerecordid>60459076</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-829a8f250f0ed9cf387388c80609c2dbcf6642a159497f0e26866e484fe3f7383</originalsourceid><addsrcrecordid>eNqFkcFLwzAUxoMoOKdnr8GDJ-te0iZNj2NuOhgI4uaxxCzpMtumJh3of2_rBGEgnt57fL_vPR4fQpcEbglJ0xEIwSkHoDROBUuO0IAwRiPOiDhGg16NOpmdorMQtgBAmBADlC-DrQt8pytXeNlsrMJPNrzhmVSt8wG3Dk8_mlLaGq-kt7K1rg64m9qNxvNa2bWulcbO4JV15Xc_Ljo6tPjFVbo-RydGlkFf_NQhWs6mz5OHaPF4P5-MF5GKOWsjQTMpDGVgQK8zZWKRxkIoARwyRdevynCeUElYlmRpx1AuONeJSIyOTYfGQ3S939t4977Toc0rG5QuS1lrtws5h4RlkPJ_QZYmjAD04NUBuHU7X3dP5JRwkRBI-7OjPaS8C8FrkzfeVtJ_5gTyPpb8IJbOcbN3BFno35V_4V9yZ4qC</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>216841078</pqid></control><display><type>article</type><title>Using Demographic Risk Factors to Explain Variations in the Incidence of Violence Against Women</title><source>Sociological Abstracts</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>SAGE Complete A-Z List</source><creator>O'Donnell, Christopher J. ; Smith, Angie ; Madison, Jeanne R.</creator><creatorcontrib>O'Donnell, Christopher J. ; Smith, Angie ; Madison, Jeanne R.</creatorcontrib><description>This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Survey. For purposes of comparison, we identified a set of benchmark demographic characteristics as those occurring most frequently in the data set and estimated that if a woman were to have all of these characteristics, the probability she would have experienced violence in the past 12 months was 6.7%. We found that the risk varied with levels of postschool education, income, ethnic background, number and age of children, marital status, and age. Employment status, school-leaving age, and socioeconomic status had no statistically significant effect on the risk of experiencing violence once other factors were considered. This analysis may provide a basis for violence reduction and prevention programs.</description><identifier>ISSN: 0886-2605</identifier><identifier>EISSN: 1552-6518</identifier><identifier>DOI: 10.1177/088626002237854</identifier><identifier>CODEN: JIVIEI</identifier><language>eng</language><publisher>Thousand Oaks, CA: SAGE Publications</publisher><subject>Australia ; Definitions ; Demographic aspects ; Demographics ; Drug Use ; Educational Attainment ; Employment Level ; Ethnicity ; Females ; Marital Status ; Mental Disorders ; National Surveys ; Regression (Statistics) ; Risk assessment ; Risk Factors ; Sociodemographic Factors ; State Surveys ; Statistical Analysis ; Victimization ; Violence ; Women</subject><ispartof>Journal of interpersonal violence, 2002-12, Vol.17 (12), p.1239-1262</ispartof><rights>Copyright SAGE PUBLICATIONS, INC. Dec 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-829a8f250f0ed9cf387388c80609c2dbcf6642a159497f0e26866e484fe3f7383</citedby><cites>FETCH-LOGICAL-c365t-829a8f250f0ed9cf387388c80609c2dbcf6642a159497f0e26866e484fe3f7383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/088626002237854$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/088626002237854$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21799,27903,27904,30979,33753,33754,43600,43601</link.rule.ids></links><search><creatorcontrib>O'Donnell, Christopher J.</creatorcontrib><creatorcontrib>Smith, Angie</creatorcontrib><creatorcontrib>Madison, Jeanne R.</creatorcontrib><title>Using Demographic Risk Factors to Explain Variations in the Incidence of Violence Against Women</title><title>Journal of interpersonal violence</title><description>This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Survey. For purposes of comparison, we identified a set of benchmark demographic characteristics as those occurring most frequently in the data set and estimated that if a woman were to have all of these characteristics, the probability she would have experienced violence in the past 12 months was 6.7%. We found that the risk varied with levels of postschool education, income, ethnic background, number and age of children, marital status, and age. Employment status, school-leaving age, and socioeconomic status had no statistically significant effect on the risk of experiencing violence once other factors were considered. This analysis may provide a basis for violence reduction and prevention programs.</description><subject>Australia</subject><subject>Definitions</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Drug Use</subject><subject>Educational Attainment</subject><subject>Employment Level</subject><subject>Ethnicity</subject><subject>Females</subject><subject>Marital Status</subject><subject>Mental Disorders</subject><subject>National Surveys</subject><subject>Regression (Statistics)</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>Sociodemographic Factors</subject><subject>State Surveys</subject><subject>Statistical Analysis</subject><subject>Victimization</subject><subject>Violence</subject><subject>Women</subject><issn>0886-2605</issn><issn>1552-6518</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkcFLwzAUxoMoOKdnr8GDJ-te0iZNj2NuOhgI4uaxxCzpMtumJh3of2_rBGEgnt57fL_vPR4fQpcEbglJ0xEIwSkHoDROBUuO0IAwRiPOiDhGg16NOpmdorMQtgBAmBADlC-DrQt8pytXeNlsrMJPNrzhmVSt8wG3Dk8_mlLaGq-kt7K1rg64m9qNxvNa2bWulcbO4JV15Xc_Ljo6tPjFVbo-RydGlkFf_NQhWs6mz5OHaPF4P5-MF5GKOWsjQTMpDGVgQK8zZWKRxkIoARwyRdevynCeUElYlmRpx1AuONeJSIyOTYfGQ3S939t4977Toc0rG5QuS1lrtws5h4RlkPJ_QZYmjAD04NUBuHU7X3dP5JRwkRBI-7OjPaS8C8FrkzfeVtJ_5gTyPpb8IJbOcbN3BFno35V_4V9yZ4qC</recordid><startdate>200212</startdate><enddate>200212</enddate><creator>O'Donnell, Christopher J.</creator><creator>Smith, Angie</creator><creator>Madison, Jeanne R.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U3</scope><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>K7.</scope><scope>NAPCQ</scope><scope>WZK</scope><scope>7QJ</scope></search><sort><creationdate>200212</creationdate><title>Using Demographic Risk Factors to Explain Variations in the Incidence of Violence Against Women</title><author>O'Donnell, Christopher J. ; Smith, Angie ; Madison, Jeanne R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-829a8f250f0ed9cf387388c80609c2dbcf6642a159497f0e26866e484fe3f7383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Australia</topic><topic>Definitions</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Drug Use</topic><topic>Educational Attainment</topic><topic>Employment Level</topic><topic>Ethnicity</topic><topic>Females</topic><topic>Marital Status</topic><topic>Mental Disorders</topic><topic>National Surveys</topic><topic>Regression (Statistics)</topic><topic>Risk assessment</topic><topic>Risk Factors</topic><topic>Sociodemographic Factors</topic><topic>State Surveys</topic><topic>Statistical Analysis</topic><topic>Victimization</topic><topic>Violence</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>O'Donnell, Christopher J.</creatorcontrib><creatorcontrib>Smith, Angie</creatorcontrib><creatorcontrib>Madison, Jeanne R.</creatorcontrib><collection>CrossRef</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Sociological Abstracts (Ovid)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Journal of interpersonal violence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>O'Donnell, Christopher J.</au><au>Smith, Angie</au><au>Madison, Jeanne R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Demographic Risk Factors to Explain Variations in the Incidence of Violence Against Women</atitle><jtitle>Journal of interpersonal violence</jtitle><date>2002-12</date><risdate>2002</risdate><volume>17</volume><issue>12</issue><spage>1239</spage><epage>1262</epage><pages>1239-1262</pages><issn>0886-2605</issn><eissn>1552-6518</eissn><coden>JIVIEI</coden><abstract>This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Survey. For purposes of comparison, we identified a set of benchmark demographic characteristics as those occurring most frequently in the data set and estimated that if a woman were to have all of these characteristics, the probability she would have experienced violence in the past 12 months was 6.7%. We found that the risk varied with levels of postschool education, income, ethnic background, number and age of children, marital status, and age. Employment status, school-leaving age, and socioeconomic status had no statistically significant effect on the risk of experiencing violence once other factors were considered. This analysis may provide a basis for violence reduction and prevention programs.</abstract><cop>Thousand Oaks, CA</cop><pub>SAGE Publications</pub><doi>10.1177/088626002237854</doi><tpages>24</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0886-2605 |
| ispartof | Journal of interpersonal violence, 2002-12, Vol.17 (12), p.1239-1262 |
| issn | 0886-2605 1552-6518 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_60459076 |
| source | Sociological Abstracts; Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List |
| subjects | Australia Definitions Demographic aspects Demographics Drug Use Educational Attainment Employment Level Ethnicity Females Marital Status Mental Disorders National Surveys Regression (Statistics) Risk assessment Risk Factors Sociodemographic Factors State Surveys Statistical Analysis Victimization Violence Women |
| title | Using Demographic Risk Factors to Explain Variations in the Incidence of Violence Against Women |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T19%3A13%3A31IST&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=Using%20Demographic%20Risk%20Factors%20to%20Explain%20Variations%20in%20the%20Incidence%20of%20Violence%20Against%20Women&rft.jtitle=Journal%20of%20interpersonal%20violence&rft.au=O'Donnell,%20Christopher%20J.&rft.date=2002-12&rft.volume=17&rft.issue=12&rft.spage=1239&rft.epage=1262&rft.pages=1239-1262&rft.issn=0886-2605&rft.eissn=1552-6518&rft.coden=JIVIEI&rft_id=info:doi/10.1177/088626002237854&rft_dat=%3Cproquest_cross%3E60459076%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=216841078&rft_id=info:pmid/&rft_sage_id=10.1177_088626002237854&rfr_iscdi=true |