What is it about (Reduced) Similarity Perceptions that Perpetuates Sexual Assault Victim Culpability Attributions? A Content Analysis of Similarity Thought Listings

2012 ◽  
Author(s):  
Amanda M. Amacker ◽  
Audrey K. Miller ◽  
Jason M. Duncan ◽  
Shara M. Johnson
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Analysis Of Similarity

Sexual Assault Resource Availability on Texas Higher Education Campuses: A Web Site Content Analysis

2016 ◽  
Vol 26 (5) ◽  
pp. 354-380 ◽  
Author(s):  
Cortney A. Franklin ◽  
Hae Rim Jin ◽  
Lindsay M. Ashworth ◽  
Jane H. Viada
Keyword(s):  
Higher Education ◽  
Content Analysis ◽  
Sexual Assault ◽  
Resource Availability ◽  
Web Site

scholarly journals GESTÃO PARTICIPATIVA NO INSTITUTO FEDERAL DE GOIÁS – ANÁLISE QUALITATIVA DO ESTATUTO COM USO DO SOFTWARE IRAMUTEQ

2019 ◽  
Vol 10 (1) ◽  
pp. 40
Author(s):  
Murilo De Assis Silva ◽  
Helga Cristina Hedler ◽  
Thiago Gomes Nascimento
Keyword(s):  
Content Analysis ◽  
Qualitative Analysis ◽  
Stakeholder Theory ◽  
Management Theory ◽  
Management Model ◽  
Participatory Management ◽  
Classification Technique ◽  
Analysis Of Similarity ◽  
The Status

O presente trabalho visou realizar uma análise qualitativa do estatuto do Instituto Federal de Goiás por meio da análise de conteúdo com o objetivo de investigar a existência de elementos característicos da gestão participativa com base na teoria da gestão participativa e na teoria dos stakeholders. O estatuto foi transformado em um corpus textual para ser processado pelo software IRAMUTEQ por meio da técnica de Classificação Hierárquica Descendente, apoiada na análise de similitude e nuvem de palavras, subsidiando a análise de conteúdo do documento. As análises lexicográficas evidenciaram a existência de elementos característicos deste modelo de gestão no documento analisado. AbstractThe present work aimed to perform a qualitative analysis of the status of the Instituto Federal de Goiás through content analysis with the objective of investigating the existence of characteristic elements of participatory management based on participatory management theory and stakeholders theory. The statute was transformed into a textual corpus to be processed by the IRAMUTEQ software through the Hierarchical Descending Classification technique, supported in the analysis of similarity and cloud of words, supporting the content analysis of the document. The lexicographic analyzes evidenced the existence of characteristic elements of this management model in the document analyzed.KeywordsContent analysis; Instituto Federal de Goiás; IRAMUTEQ; Participatory management; Stakeholder theory.

“Who Are You Going to Tell? Who’s Going to Believe You?”

2018 ◽  
Vol 42 (4) ◽  
pp. 414-429 ◽  
Author(s):  
Christina M. Dardis ◽  
Kristen M. Reinhardt ◽  
Melissa M. Foynes ◽  
Nina E. Medoff ◽  
Amy E. Street
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Military Personnel ◽  
Qualitative Interviews ◽  
Women Veterans ◽  
Military Sexual Trauma ◽  
Directed Content Analysis ◽  
Negative Impacts ◽  
The Military ◽  
The Impact

Researchers have identified disclosure as an important part of sexual assault recovery among civilian survivors. However, few researchers have examined the process of military sexual trauma (MST) disclosure, including the barriers and facilitators, positive and negative reactions from disclosure recipients, and positive and negative impacts of disclosure on survivors. Twenty-three women veteran MST survivors completed semi-structured qualitative interviews that assessed disclosure experiences; responses were coded using directed content analysis. Among the 20 women veterans who disclosed MST (87%), most volunteered information that they had disclosed to informal (74%, n = 17), military (70%, n = 16), and medical sources (52%, n = 12). Among women who reported that they disclosed MST to military personnel, all reported at least one negative reaction to the disclosure, including 50% ( n = 8) who reported perceived retaliation for disclosure. Women who reported they disclosed to military personnel identified some barriers (e.g., feared consequences) that women who disclosed to non-military personnel did not. We suggest that the responses of recipients to disclosure may contribute to the impact on participants, including dissatisfaction and disillusionment with the military. We discuss unique aspects of the military context that may contribute to negative reactions. Practitioners can use this information to increase empathy and understanding of the complexity of disclosure and to help survivors process and contextualize these experiences during therapy. Additional online materials for this article are available on PWQ’s website at http://journals.sagepub.com/doi/suppl/10.1177/0361684318796783

scholarly journals Sentinel surveillance of child maltreatment cases presenting to Canadian emergency departments

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Aimée Campeau ◽  
Lil Tonmyr ◽  
Erik Gulbransen ◽  
Martine Hébert ◽  
Steven McFaull ◽  
...  
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Child Maltreatment ◽  
Physical Abuse ◽  
Health Care Professionals ◽  
Emergency Departments ◽  
Sentinel Surveillance ◽  
Surveillance Program ◽  
Additional Information ◽  
Injury Event

Abstract Background The Canadian Hospitals Injury Reporting Prevention Program (CHIRPP) is a sentinel surveillance program that collects and analyzes data on injuries and poisonings of people presenting to emergency departments (EDs) at 11 pediatric and eight general hospitals (currently) across Canada. To date, CHIRPP is an understudied source of child maltreatment (CM) surveillance data. This study: (1) describes CM cases identified in the CHIRPP database between1997/98 to 2010/11; (2) assesses the level of CM case capture over the 14-year period and; (3) uses content analysis to identify additional information captured in text fields. Methods We reviewed cases of children under 16 whose injuries were reported as resulting from CM from 1997/98 to 2010/11. A time trend analysis of cases to assess capture was conducted and content analysis was applied to develop a codebook to assess information from text fields in CHIRPP. The frequency of types of CM and other variables identified from text fields were calculated. Finally, the frequency of types of CM were presented by age and gender. Results A total of 2200 CM cases were identified. There was a significant decrease in the capture of CM cases between 1999 and 2005. Physical abuse was the most prevalent type (57%), followed by sexual assault (31%), unspecified maltreatment (7%), injury as the result of exposure to family violence (3%) and neglect (2%). Text fields provided additional information including perpetrator characteristics, the use of drugs and/or alcohol during the injury event, information regarding the involvement of non-health care professionals, whether maltreatment occurred during a visitation period with a parent and, whether the child was removed from their home. Conclusions The findings from this initial study indicate that CHIRPP could be a complimentary source of CM data. As an injury surveillance system, physical abuse and sexual assault were better captured than other types of CM. Text field data provided unique information on a number of additional details surrounding the injury event, including risk factors.

scholarly journals Comparing Help-Seeking Behavior of Male and Female Survivors of Sexual Assault: A Content Analysis of a Hotline

Sexual Abuse ◽  
2016 ◽  
Vol 30 (4) ◽  
pp. 454-474 ◽  
Author(s):  
Stephen M. Young ◽  
Jana A. Pruett ◽  
Marianna L. Colvin
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Help Seeking ◽  
Future Research ◽  
Help Seeking Behavior ◽  
Male And Female ◽  
Sexual Assault Survivors ◽  
Female Victims ◽  
Female Survivors ◽  
Seeking Behavior

This content analysis examines written documentation of telephone calls to a regional sexual assault hotline over a 5-year period. All male callers identified as primary victims were selected for analysis ( n = 58) and a corresponding sample of female primary victims ( n = 58) were randomly selected for comparison to better understand the help-seeking behavior of sexual assault survivors and inform services accordingly. A summative content analysis revealed significant contrasting themes between male and female victims, including females significantly receiving more referrals and males accessing the hotline to tell their experience of being sexually assaulted due to perceived limited support. Implications for training, practice, and future research are discussed.

scholarly journals Sentinel surveillance of child maltreatment cases presenting to Canadian emergency departments

2019 ◽  
Author(s):  
Aimée Campeau ◽  
Lil Tonmyr ◽  
Erik Gulbransen ◽  
Martine Hébert ◽  
Steven McFaull ◽  
...  
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Child Maltreatment ◽  
Physical Abuse ◽  
Health Care Professionals ◽  
Emergency Departments ◽  
Sentinel Surveillance ◽  
Surveillance Program ◽  
Additional Information ◽  
Injury Event

Abstract Background: The Canadian Hospitals Injury Reporting Prevention Program (CHIRPP) is a sentinel surveillance program that collects and analyzes data on injuries and poisonings of people presenting to emergency departments (EDs) at 11 pediatric and eight general hospitals (currently) across Canada. To date, CHIRPP is an understudied source of child maltreatment (CM) surveillance data. This study: (1) describes CM cases identified in the CHIRPP database between1997/98 to 2010/11; (2) assesses the level of CM case capture over the 14-year period and; (3) uses content analysis to identify additional information captured in text fields. Methods: We reviewed cases of children under 16 whose injuries were reported as resulting from CM from 1997/98 to 2010/11. A time trend analysis of cases to assess capture was conducted and content analysis was applied to develop a codebook to assess information from text fields in CHIRPP. The frequency of types of CM and other variables identified from text fields were calculated. Finally, the frequency of types of CM were presented by age and gender. Results: A total of 2 200 CM cases were identified. There was a significant decrease in the capture of CM cases between 1999 and 2005. Physical abuse was the most prevalent type (57%), followed by sexual assault (31%), unspecified maltreatment (7%), injury as the result of exposure to family violence (3%) and neglect (2%). Text fields provided additional information including perpetrator characteristics, the use of drugs and/or alcohol during the injury event, information regarding the involvement of non-health care professionals, whether maltreatment occurred during a visitation period with a parent and, whether the child was removed from their home. Conclusions: The findings from this initial study indicate that CHIRPP could be a complimentary source of CM data. As an injury surveillance system, physical abuse and sexual assault were better captured than other types of CM. Text field data provided unique information on a number of additional details surrounding the injury event, including risk factors.

scholarly journals Sentinel surveillance of child maltreatment cases presenting to Canadian emergency departments

2019 ◽  
Author(s):  
Aimée Campeau ◽  
Lil Tonmyr ◽  
Erik Gulbransen ◽  
Martine Hébert ◽  
Steven McFaull ◽  
...  
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Child Maltreatment ◽  
Physical Abuse ◽  
Health Care Professionals ◽  
Emergency Departments ◽  
Sentinel Surveillance ◽  
Surveillance Program ◽  
Additional Information ◽  
Injury Event

Abstract Background: The Canadian Hospitals Injury Reporting Prevention Program (CHIRPP) is a sentinel surveillance program that collects and analyzes data on injuries and poisonings of people presenting to emergency departments (EDs) at 11 pediatric and eight general hospitals (currently) across Canada. To date, CHIRPP is an understudied source of child maltreatment (CM) surveillance data. This study: (1) describes CM cases identified in the CHIRPP database between1997/98 to 2010/11; (2) assesses the level of CM case capture over the 14-year period and; (3) uses content analysis to identify additional information captured in text fields. Methods: We reviewed cases of children under 16 whose injuries were reported as resulting from CM from 1997/98 to 2010/11. A time trend analysis of cases to assess capture was conducted and content analysis was applied to develop a codebook to assess information from text fields in CHIRPP. The frequency of types of CM and other variables identified from text fields were calculated. Finally, the frequency of types of CM were presented by age and gender. Results: A total of 2 200 CM cases were identified. There was a significant decrease in the capture of CM cases between 1999 and 2005. Physical abuse was the most prevalent type (57%), followed by sexual assault (31%), unspecified maltreatment (7%), injury as the result of exposure to family violence (3%) and neglect (2%). Text fields provided additional information including perpetrator characteristics, the use of drugs and/or alcohol during the injury event, information regarding the involvement of non-health care professionals, whether maltreatment occurred during a visitation period with a parent and, whether the child was removed from their home. Conclusions: The findings from this initial study indicate that CHIRPP could be a complimentary source of CM data. As an injury surveillance system, physical abuse and sexual assault were better captured than other types of CM. Text field data provided unique information on a number of additional details surrounding the injury event, including risk factors.

Framing Blame in Sexual Assault: An Analysis of Attribution in News Stories About Sexual Assault on College Campuses

2018 ◽  
Vol 25 (6) ◽  
pp. 743-762 ◽  
Author(s):  
Ashlie J. Siefkes-Andrew ◽  
Cassandra Alexopoulos
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Attribution Theory ◽  
Media Coverage ◽  
School Administrators ◽  
Media Framing ◽  
College Campuses ◽  
News Stories ◽  
Analysis Methodology ◽  
Key Variables

This article examines media coverage of sexual assault cases on college campuses using content analysis methodology. Utilizing Attribution Theory and Media Framing, this article analyzes the methods and frequency in which the language in sexual assault news stories assigns or minimizes attribution. Key variables include references to alcohol consumption, clothing, Greek systems, and case management by school administrators. Key discoveries were made, including the journalists’ use of language showing support or doubt of victims. This study has implications for scholars, journalists, educational administrators, and society in general as we consider the ongoing framing of sexual assault.

Ignoring Implementation: Defects in Canada’s “Rape Shield” Policy Cycle

2021 ◽  
Vol 36 (1) ◽  
pp. 23-46
Author(s):  
Danielle McNabb ◽  
Dennis Baker
Keyword(s):  
Content Analysis ◽  
Sexual Assault ◽  
Due Process ◽  
Legislative Process ◽  
Policy Cycle ◽  
Privacy Rights ◽  
Judicial Implementation ◽  
Policy Cycles ◽  
Judicialization Of Politics

AbstractThis article employs a “policy cycle” framework to explore Bill C-51, legislation which contains Canada’s latest amendments to the “rape shield.” Through an in-depth evaluation of earlier rape shield reforms, as well as a content analysis of the legislative proceedings of Bill C-51, this paper reveals that, while the impetus for introducing rape shield legislation is to protect the equality and privacy rights of sexual assault complainants, the legislative process of these “policy cycles” focuses disproportionately on remedying due process concerns and less on the problems that arise in judicial implementation of the provisions. We situate this finding within the larger trend towards the “judicialization of politics,” and trace some of the institutional and structural obstacles that impede Parliamentarians from more effectively legislating to improve sexual assault trials for complainants.

scholarly journals JUDGING THE ONLINE JUDGES: THE TWO #METOO CASES IN HONG KONG

2021 ◽  
pp. 241
Author(s):  
Chris Y. H. Tsui
Keyword(s):  
Content Analysis ◽  
Hong Kong ◽  
Discourse Analysis ◽  
Law Enforcement ◽  
Sexual Assault ◽  
Critical Discourse Analysis ◽  
Qualitative Content Analysis ◽  
Critical Discourse ◽  
Victim Blaming ◽  
Over Time

On November 30, 2017, Hong Kong track athlete Vera Lui posted a photo on Facebook marked with the #MeToo hashtag and described an experience of being sexually assaulted. Three days later, Hong Kong actress Louisa Mak published a similar #MeToo post on her Facebook page. While both posts, especially Lui’s, initially received many supportive comments, over time, the comments became negative and victim-blaming. Since these incidents, no other Hong Kong celebrities have risked revealing their experiences to respond to the #MeToo Movement. In this paper, I analysed the first 500 comments posted on each of the posts using qualitative content analysis and critical discourse analysis. The results reveal the practice of online judging that inhibits the disclosure of cases of sexual assault. The paper further describes the interplay between online judging and selective law enforcement by the Hong Kong Police, which has been a persistent issue in Hong Kong.

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