Abstract:Objective: There are concerns about the measurement of teen dating violence (TDV) perpetration. The current study compares data on TDV perpetration derived from a cumulative assessment procedure and a single assessment procedure. The prevalence and frequency of TDV perpetration are examined, as well as their associations with hypothesized precursors of TDV. Method: A sample of court-referred adolescents (n = 147, Mage = 15.85) completed a baseline assessment that included measures of three hypothesized precurs… Show more
“…Further, in using a cumulative incidence approach, we found higher rates of DV than even outlier (cross-sectional) studies using high-risk samples ( Alleyne-Green et al, 2012 ; Martin-Storey, 2015 ) and comprehensive measures ( Niolon et al, 2015 ). This pattern of results align with estimates derived from similar cumulative assessments over shorter timespans ( Jouriles et al, 2005 ; Krauss et al, 2020 ; Smith et al, 2003 ). Importantly, rates exceeded the field’s consensus on the prevalence for both sexual and physical DV in just three aggregated follow-ups, suggesting that future longitudinal research need not expend extensive resources to capture these numbers.…”
Section: Discussionsupporting
confidence: 83%
“…These approaches risk underreporting of DV due to respondents forgetting or misremembering events (i.e., when asking about lifetime) or limiting their recall to short spans of time or limited partners. Alternatively, cumulative assessment approaches aggregate repeated measurements across (often shorter) reference periods rather than rely on a single-point retrospective report ( Caiozzo et al, 2016 ; Jouriles et al, 2005 ; Krauss et al, 2020 ). Since it is likely that reference period influences prevalence rates, a cumulative approach can mitigate some measurement error by capturing violence “missed” by lifetime lookbacks.…”
Section: Rates Of DV Perpetration and Victimizationmentioning
confidence: 99%
“…Since it is likely that reference period influences prevalence rates, a cumulative approach can mitigate some measurement error by capturing violence “missed” by lifetime lookbacks. Past use of cumulative assessment strategies resulted in higher prevalence rates of DV among adolescents and, importantly, improved criterion validity with psychological correlates ( Jouriles et al, 2005 ; Krauss et al, 2020 ). Thus, cumulative assessment functions as a valid and potentially more accurate assessment of DV involvement than previously documented, making the onset of certain behaviors more identifiable and thus refining prevention approaches…”
Section: Rates Of DV Perpetration and Victimizationmentioning
Decades of inquiry on intimate partner violence show consistent results: violence is woefully common and psychologically and economically costly. Policy to prevent and effectively intervene upon such violence hinges upon comprehensive understanding of this phenomenon at a population level. The current study prospectively estimates the cumulative incidence of sexual and physical dating violence (DV) victimization/perpetration over a 12-year timeframe (2010–2021) using diverse participants assessed annually from age 15 to 26. Data are from Waves 1–13 of an ongoing longitudinal study. Since 2010 (except for 2018 and 2019), participants were assessed on past-year physical and sexual DV victimization and perpetration. Participants ( n = 1,042; 56% female; Mage baseline = 15) were originally recruited from seven public high schools in southeast Texas. The sample consisted of Black/African American (30%), White (31%), Hispanic (31%), and Mixed/Other (8%) participants. Across 12 years of data collection, 27.3% experienced sexual DV victimization and 46.1% had experienced physical DV victimization by age 26. Further, 14.8% had perpetrated at least one act of sexual DV and 39.0% had perpetrated at least one act of physical DV against a partner by this age. A 12-year cumulative assessment of physical and sexual DV rendered prevalence estimates of both victimization and perpetration that exceeded commonly and consistently reported rates in the field, especially on studies that relied on lifetime or one-time specified retrospective reporting periods. These data suggest community youth are at continued and sustained risk for DV onset across the transition into emerging adulthood, necessitating early adolescent prevention and intervention efforts that endure through late adolescence, emerging adulthood, and beyond. From a research perspective, our findings point to the need for assessing DV on a repeated basis over multiple timepoints to better guage the full extent of this continued public health crisis.
“…Further, in using a cumulative incidence approach, we found higher rates of DV than even outlier (cross-sectional) studies using high-risk samples ( Alleyne-Green et al, 2012 ; Martin-Storey, 2015 ) and comprehensive measures ( Niolon et al, 2015 ). This pattern of results align with estimates derived from similar cumulative assessments over shorter timespans ( Jouriles et al, 2005 ; Krauss et al, 2020 ; Smith et al, 2003 ). Importantly, rates exceeded the field’s consensus on the prevalence for both sexual and physical DV in just three aggregated follow-ups, suggesting that future longitudinal research need not expend extensive resources to capture these numbers.…”
Section: Discussionsupporting
confidence: 83%
“…These approaches risk underreporting of DV due to respondents forgetting or misremembering events (i.e., when asking about lifetime) or limiting their recall to short spans of time or limited partners. Alternatively, cumulative assessment approaches aggregate repeated measurements across (often shorter) reference periods rather than rely on a single-point retrospective report ( Caiozzo et al, 2016 ; Jouriles et al, 2005 ; Krauss et al, 2020 ). Since it is likely that reference period influences prevalence rates, a cumulative approach can mitigate some measurement error by capturing violence “missed” by lifetime lookbacks.…”
Section: Rates Of DV Perpetration and Victimizationmentioning
confidence: 99%
“…Since it is likely that reference period influences prevalence rates, a cumulative approach can mitigate some measurement error by capturing violence “missed” by lifetime lookbacks. Past use of cumulative assessment strategies resulted in higher prevalence rates of DV among adolescents and, importantly, improved criterion validity with psychological correlates ( Jouriles et al, 2005 ; Krauss et al, 2020 ). Thus, cumulative assessment functions as a valid and potentially more accurate assessment of DV involvement than previously documented, making the onset of certain behaviors more identifiable and thus refining prevention approaches…”
Section: Rates Of DV Perpetration and Victimizationmentioning
Decades of inquiry on intimate partner violence show consistent results: violence is woefully common and psychologically and economically costly. Policy to prevent and effectively intervene upon such violence hinges upon comprehensive understanding of this phenomenon at a population level. The current study prospectively estimates the cumulative incidence of sexual and physical dating violence (DV) victimization/perpetration over a 12-year timeframe (2010–2021) using diverse participants assessed annually from age 15 to 26. Data are from Waves 1–13 of an ongoing longitudinal study. Since 2010 (except for 2018 and 2019), participants were assessed on past-year physical and sexual DV victimization and perpetration. Participants ( n = 1,042; 56% female; Mage baseline = 15) were originally recruited from seven public high schools in southeast Texas. The sample consisted of Black/African American (30%), White (31%), Hispanic (31%), and Mixed/Other (8%) participants. Across 12 years of data collection, 27.3% experienced sexual DV victimization and 46.1% had experienced physical DV victimization by age 26. Further, 14.8% had perpetrated at least one act of sexual DV and 39.0% had perpetrated at least one act of physical DV against a partner by this age. A 12-year cumulative assessment of physical and sexual DV rendered prevalence estimates of both victimization and perpetration that exceeded commonly and consistently reported rates in the field, especially on studies that relied on lifetime or one-time specified retrospective reporting periods. These data suggest community youth are at continued and sustained risk for DV onset across the transition into emerging adulthood, necessitating early adolescent prevention and intervention efforts that endure through late adolescence, emerging adulthood, and beyond. From a research perspective, our findings point to the need for assessing DV on a repeated basis over multiple timepoints to better guage the full extent of this continued public health crisis.
“…The lack of more fined‐grained data limits our ability to understand how processes over hours, days or weeks influence the occurrence of dating violence episodes. Such data are needed to better understand how cognitions, motivating negative emotions, routine activities and adverse life‐events affect change and stability in coercive and aggressive episodes among dating partners (Krauss et al., 2020). Ecological momentary assessments may help to address this limitation (Shiffman et al., 2008).…”
Dating violence is a serious manifestation of harmful behaviour during adolescence. During the past decades, considerable research has shed light on patterns, causes, and consequences of dating violence. One of the most notable findings emerging from widely used survey instruments is that female adolescents report perpetrating physical dating violence more or equally frequently as male adolescents. Similarly, male youth appear to equally frequently report that they have been victims of physical dating violence as female adolescents. This commentary reviews issues emerging from the debate on gender symmetry in dating violence and proposes directions for future research. It suggests that future research needs to consider three interrelated issues to advance the field, namely: to improve the understanding of differences in harm, advance the knowledge of gender differences in the short‐term dynamics involved in conflict and aggression, and strengthen the evidence base on shared and gender‐specific developmental aetiologies of dating violence.
“…Additionally, these dimensions have had differing success in explaining offending, with differential association having the most empirical support and imitation having the least (Pratt et al, 2010). Previous meta-analyses have found that findings depend on crime type, demographics of sample, location, and research design (Kruis et al 2020; Pratt et al 2010).…”
Objectives The purpose of this study is to examine social learning theory (SLT) and teen dating violence (TDV) perpetration. This study aims to determine which predictors have the largest effect sizes, whether they vary for males and females, and whether they differ based on research design and sample characteristics. Methods This study uses hierarchal meta-analytic methods to examine both within- and between-dataset differences in relationships between a variety of SLT predictors and TDV outcomes. Both bivariate and multivariate effect sizes are computed for a sample of n = 1,157 effect sizes nested in n = 116 studies that used n = 88 unique datasets. Results Findings indicate that a variety of SLT predictors can explain TDV perpetration. Predictors with the largest effect sizes include anticipated benefits of TDV (Bivariate: r = .254; multivariate: r = .308) and peer TDV perpetration (Bivariate: r = .279; multivariate: r = .205). While most predictors show similar effect sizes for males and females, peer TDV perpetration appears to be a stronger influence for males. Several significant moderators are found. Conclusions SLT should continue to provide a theoretical framework for TDV research and practice. Future research should examine same-sex teen relationships and sexual minorities.
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