| Literature DB >> 34177251 |
Samantha M Gavin1, Nathan E Kruis2.
Abstract
Research suggests that the representation of violence against women in the media has resulted in an increased acceptance of attitudes favoring domestic violence. While prior work has investigated the relationship between violent media exposure and violent crime, there has been little effort to empirically examine the relationship between specific forms of violent media exposure and the perpetration of intimate partner violence. Using data collected from a sample of 148 inmates, the current study seeks to help fill these gaps in the literature by examining the relationship between exposure to various forms of pleasurable violent media and the perpetration of intimate partner violence (i.e., conviction and self-reported). At the bivariate level, results indicate a significant positive relationship between exposure to pleasurable television violence and self-reported intimate partner abuse. However, this relationship is reduced to insignificant levels in multivariable modeling. Endorsement of domestic violence beliefs and victimization experience were found to be the strongest predictors of intimate partner violence perpetration. Potential policy implications based on findings are discussed within.Entities:
Keywords: Domestic violence; Intimate partner violence; Media violence; Partner abuse
Year: 2021 PMID: 34177251 PMCID: PMC8214916 DOI: 10.1007/s12147-021-09284-5
Source DB: PubMed Journal: Gender Issues ISSN: 1098-092X
Results from exploratory factor analysis (EFA) for endorsement of domestic violence beliefs
| Factor 1 | |
|---|---|
| If a wife does not like her husband's friends, she should stop him from seeing them | .536 |
| When a wife is mad at her husband, it is okay for her to call him names | .666 |
| A wife sometimes deserves to be hit by her husband | .819 |
| A husband angry enough to hit his wife must love her very much | .875 |
| When a husband does not like his wife's family, he should stop her from seeing them | .831 |
| When a wife is mad at her husband, it is okay for her to hit him | .871 |
| A husband who makes his wife jealous on purpose deserves to be hit | .860 |
| A husband sometimes deserves to be hit by his wife | .741 |
| When a husband is mad at his wife, it is okay for him to yell at her | .783 |
| When a husband is mad at his wife, it is okay for him to hit her | .904 |
| When a husband does not like his wife's friends, he should stop her from seeing them | .786 |
| A wife who makes her husband jealous on purpose deserves to be hit | .922 |
| When a husband is mad at his wife, it is okay for him to throw things at her | .932 |
| If a wife does not like her husband's family, she should stop him from seeing them | .877 |
| When a wife is mad at her husband, it is okay for her to throw things at him | .893 |
| When a husband is mad at his wife, it is okay for him to call her names | .869 |
| A wife angry enough to hit her husband must really love him | .879 |
| When a wife is mad at her husband, it is okay for her to yell at him | .756 |
| Eigenvalue | 12.624 |
| Variance (%) | 70.136 |
KSMO = .928 (p = .000). The scree plot indicated a clear break at the second factor, suggesting a one factor matrix. Extraction method: Principal axis. α = .974
Descriptive statistics (N = 148)
| M (%) | SD | Minimum | Maximum | |
|---|---|---|---|---|
| Age | 35.81 | 12.36 | 18 | 95 |
| Male | 91.0 | – | – | – |
| White | 77.0 | – | – | – |
| Been abused | 44.6 | – | – | – |
| Video game violence | 22.58 | 38.66 | 0 | 200 |
| Movie violence | 36.40 | 41.87 | 0 | 200 |
| Television violence | 29.73 | 38.73 | 0 | 200 |
| Endorsement of DV | 34.02 | 18.22 | 18 | 88 |
| DV (conviction) | 16.2 | – | – | – |
| DV (self-report) | 34.5 | – | – | – |
Correlations
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Age | 1 | |||||||||
| 2. Male | − .153 | 1 | ||||||||
| 3. White | − .038 | .110 | 1 | |||||||
| 4. Been abused | .050 | − .299** | − .059 | 1 | ||||||
| 5. Video game violence | − .041 | .071 | − .176* | − .002 | 1 | |||||
| 6. Movie violence | − .027 | − .106 | − .112 | .224** | .598** | 1 | ||||
| 7. Television violence | .124 | − .292** | − .142 | .262** | .401** | .714** | 1 | |||
| 8. Endorsement of DV | − .013 | − .077 | .054 | .016 | .007 | − .081 | − .056 | 1 | ||
| 9. DV conviction | .140 | − .054 | .022 | .122 | .058 | .067 | .114 | .202* | 1 | |
| 10. DV self-report | .071 | − .177* | − .111 | .637** | − .052 | .150 | .179* | .101 | .182* | 1 |
Pearson product-moment correlations are reported. Two-tailed significance is reported
*p ≤ .05, ** p ≤ .01
Logistic regression analyses predicting domestic violence
| Conviction | Self-report | |||||
|---|---|---|---|---|---|---|
| b | SE | OR | b | SE | OR | |
| Age | .024 | .022 | 1.025 | .030 | .022 | 1.030 |
| Male | − .837 | 1.094 | .433 | − .478 | .788 | .620 |
| White | .017 | .704 | 1.017 | .574 | .639 | 1.775 |
| Been abused | − .457 | .600 | .633 | − 3.533*** | .673 | .029 |
| Video game violence | .001 | .009 | 1.001 | − .008 | .009 | .992 |
| Movie violence | − .005 | .012 | .995 | .000 | .011 | 1.000 |
| Television violence | .011 | .011 | 1.011 | .009 | .010 | 1.009 |
| Endorsement of DV | .033* | .014 | 1.033 | .004 | .015 | 1.004 |
| Nagelkerke’s R2 | .142 | .548 | ||||
Unstandardized coefficients are presented, OR = odds ratio. DV = “Domestic Violence”
*p < .05, ** p < .01, ***p < .001