scholarly journals To SPB or not to SPB? A mixed methods analysis of self-protective behaviours to prevent repeat victimisation from cyber abuse

Crime Science ◽  
2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Zarina I. Vakhitova ◽  
Rob I. Mawby ◽  
Clair L. Alston-Knox ◽  
Callum A. Stephens
Keyword(s):  
Mixed Methods ◽  
Search Algorithm ◽  
Bayesian Variable Selection ◽  
Stochastic Search ◽  
Factors Associated ◽  
Privacy Settings ◽  
Perceived Impact ◽  
Protective Behaviours ◽  
The U.S ◽  
Cyber Abuse

Abstract This paper presents the findings from a mixed-methods examination of self-protective behaviours (SPBs) adopted by victims of cyber abuse from the rational choice perspective. The data from a sample of the U.S. adults ($$N = 746$$ N = 746 ), members of an online opt-in panel, were analysed to first distinguish the types of SPBs adopted by victims of cyber abuse using a thematic analysis of open-ended responses. We then identified the factors associated with an increased likelihood of adopting SPBs and the specific identified types of SPBs using logistic regression with Bayesian variable selection and a stochastic search algorithm. Of the six identified types of SPBs, adjusting privacy settings was the most commonly reported response, and improving security (e.g. changing passwords, etc.) was the least common SPB. Older victims who reported higher than the average perceived impact from victimisation, were abused by a stranger and experienced either surveillance of their online activities or multiple types of abuse, were significantly more likely to adopt an SPB. Our findings inform strategies for both Internet user education and for preventing cyber abuse victimisation.

scholarly journals Once bitten, twice shy: An exploratory study of victim impact from and adoption of self-protective behaviours against cyber abuse

2019 ◽  
Author(s):  
Zarina Vakhitova ◽  
Rob Mawby ◽  
Clair Alston-Knox
Keyword(s):  
Search Algorithm ◽  
Selection Procedure ◽  
Bayesian Variable Selection ◽  
Policy Responses ◽  
Variable Selection Procedure ◽  
Different Types ◽  
The Impact ◽  
Published Research ◽  
Protective Behaviours ◽  
Cyber Abuse

Crime can have a significant and long-lasting effect on its victims. While the literature on victim impact from traditional types of crime like robbery or assault is well established, little of the published research examining the impact of online crime like cyber abuse. The current paper examines victim impact and self-protective behaviours following victimization from different types of cyber abuse. Using the data from a large sample of American adults (N = 1,463) we identified the factors predictive of higher victim impact and adoption of self-protective behaviours, modelling the data using a Bayesian variable selection procedure implemented via a stochastic search algorithm in AutoStat\textregistered. Our findings suggest that controlling for socio-demographic characteristics such as age, gender, race and employment, different types of cyber abuse are important explanations of both victim impact and self-protective behaviours following cyber abuse victimization. Findings from this study contribute to both our understanding of cyber abuse as a broad crime category, the mechanism of adoption self-protective behaviours following victimization, as well as help inform policy responses to the needs of cyber abuse victims.

scholarly journals Using Integrated Mixed Methods to Develop Behavioral Measures of Factors Associated With Microbicide Acceptability

2011 ◽  
Vol 21 (7) ◽  
pp. 987-999 ◽  
Author(s):  
Kathleen M. Morrow ◽  
Rochelle K. Rosen ◽  
Liz Salomon ◽  
Cynthia Woodsong ◽  
Lawrence Severy ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Behavioral Measures ◽  
Factors Associated ◽  
Microbicide Acceptability

scholarly journals Involvement of Male Partners of Pregnant Women in the Prevention of Mother-to-Child Transmission (PMTCT) of HIV in Haiti: A Mixed-Methods Study

2021 ◽  
Vol 15 (2) ◽  
pp. 155798832110060
Author(s):  
Patrice Ngangue ◽  
Middle Fleurantin ◽  
Rheda Adekpedjou ◽  
Leonel Philibert ◽  
Marie-Pierre Gagnon
Keyword(s):  
Mixed Methods ◽  
Pregnant Women ◽  
Male Involvement ◽  
Mixed Methods Study ◽  
Mother To Child Transmission ◽  
Male Partners ◽  
Hiv Status ◽  
Child Transmission ◽  
Factors Associated ◽  
Mother To Child

This mixed-methods study aimed to determine the level of male involvement in the prevention of mother-to-child transmission (PMTCT) services in Haiti and identify barriers and associated factors. From May to June 2018, a questionnaire was used to measure the level of male involvement. Semistructured interviews with pregnant women were also conducted. Multivariate linear regression and qualitative content analyses were performed to explore factors associated and barriers to male partners’ involvement in PMTCT services. One hundred and two pregnant women living with HIV completed the questionnaire. About 47% of male partners had a high level of involvement. Specifically, 90% financially supported their spouse, and 82% knew her appointment date at the antenatal clinic (ANC). Only 25% of male partners accompanied their spouse to the ANC, and 19% routinely used a condom during sexual intercourse. Factors associated with male involvement in PMTCT were being married and sharing HIV status with the male partner. Male partners with a positive HIV status were more likely to be involved in PMTCT. Qualitative findings revealed that barriers to male involvement included the conflict between opening hours of the ANC and the male partner’s schedule, waiting time at the ANC, and the perception of antenatal care as being women’s business. Overall male partners’ involvement in PMTCT services is moderate. Gender relations, sociocultural beliefs, and care organization are likely to hinder this involvement. Developing and implementing contextually and culturally accepted strategies for male partners of pregnant women could contribute to strengthening their involvement in the PMTCT program.

scholarly journals Factors associated with social participation amongst elders in rural Sri Lanka: a cross-sectional mixed methods analysis

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Celeste Marsh ◽  
Paul A. Agius ◽  
Gamini Jayakody ◽  
Roshan Shajehan ◽  
Chandima Abeywickrema ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Sri Lanka ◽  
Social Participation ◽  
Cross Sectional ◽  
Factors Associated
Sign in / Sign up

Export Citation Format

Share Document