Factorial Design Analysis Introduction: this study is based on intimate partner violence (IPV). There is evidence that as like men, some women are more likely than men to perpetrate IPV and are more...

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Roland


Hi Marcus,


Can you please provide the factorial matrix for the study?





Factorial Design Analysis Introduction: this study is based on intimate partner violence (IPV). There is evidence that as like men, some women are more likely than men to perpetrate IPV and are more likely injured. The behavior of male perpetrators was considered more wrong as compared to the women. The effect of the participant's gender and its interaction with factors such as perpetrator Genset needs more investigation. Thus, this study is based on examining the contextual and participant factors that impact the perception s of physical violence within the intimate relationship. Method: the study is based on the factorial design. The experiment design is a 2 (perpetrator gender) * 2 (participant gender) * 2 (frequency of violence) * 2 *perpetrators intension). The dependent variables are the circumstances under which community members believe that an incident should be illegal, whether the perpetrator has a reasonable excuse for his or her actions, the extent of physical and psychological harm inflicted on the victim, whether a similar incident is likely to occur again, and the appropriate victim and criminal justice responses. There are four hypotheses under this study, and those are: The behavior of male perpetrators is more likely to be illegal as compare to women. There will be an interaction between participants and the perpetrator's gender. The violence is more likely to be repeated. When there is explicit intent to cause harm, as opposed to no apparent purpose, participants will be more likely to identify the behavior as illegal, indicate that the perpetrator has a less reasonable excuse for the violence, that the victim suffered more psychological and physical harm, that violence is more likely to be repeated, and that more severe punishments should be proscribed. The sample size consists of 868 people, 48.5% are males, and 51.5% are females. The age range of the people is 18-93. Two methods are used to collect the sample data. First is a random selection of community members from the Brisbane metropolitan electoral rolls who were telephoned and invited to participate. The second is recruiting community members from two university campuses to increase the number of young adults in the sample. Result: the results were analyzed using SPSS. Two-thirds of the participants reported that the vignettes' behavior should be illegal also; 34% did not. A logistic regression model was conducted to check which variables are significant in identifying the behavior. The result says that the frequency has a significant main effect on the participants indicating that the behavior was illegal. Conducted a 4-way factorial design to check the impact of perpetrator gender, participant gender, frequency, and the intent on perceptions of the extent to which the perpetrator had a reasonable excuse for his behavior. There was a main effect of perpetrator gender male and female. Also, there was an interaction effect between perpetrator gender and participant gender female. Conducted a 4-way factorial design analysis to examine the impact on perceptions of the extent to which the perpetrator inflicted physical harm on the victim. There was a main effect of frequency, with participants in the repeat-episode condition indicating that the time of physical damage to the victim was higher than participants in the single-episode condition. There was also the main effect of perpetrator gender female and interaction between perpetrator gender and participant gender female. Conclusion The main findings in this research were that the gender of the perpetrator appeared to be the most affected variable in perceptions of IPV, as stated by the number of significant findings and the effect sizes. Recommended viewed male perpetrators' actions more seriously than female perpetrators and victims to take more steps involving seeking external supports, ending the relationship, and seeking criminal justice responses when the perpetrator was male. References: CRISP 26 Master. https://crisp.org.uiowa.edu/sites/crisp.org.uiowa.edu/files/2020-04/crisp_vol_26_3.pdf Policy Brief. https://sedc.lums.edu.pk/sites/default/files/user376/domestic_violence_against_women_in_pakistan.pdf
Answered Same DayApr 04, 2021

Answer To: Factorial Design Analysis Introduction: this study is based on intimate partner violence (IPV)....

Swati answered on Apr 05 2021
138 Votes
A systematic analysis of factorial design is being explained with the help of introducing the study followed by detailing out the methods, results and conclusion. Basis of the study is IPV (Intimate partner violence) with the evidence that women as well as men both perpetrate IPV but the male perpetrator’s behavior was more wrong in consideration in comparison to women. Experimental design used is 2*2*2*2 that is factorial design of participant gender, perpetrator gender, and violence frequency and perpetrators intention. Dependent variables of study...
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