The Relationship Between a Lifetime History of Sexual Victimization and Perinatal Depression: A Systematic Review and Meta-Analysis

Background: The association between a lifetime history of sexual victimization and the well-being of women during the perinatal period has received increasing attention. However, research investigating this relationship has yet to be systematically reviewed or quantitatively synthesized. Aim: This systematic review and meta-analysis aims to calculate the pooled effect size estimate of the statistical association between a lifetime history of sexual victimization and perinatal depression (PND). Method: Four bibliographic databases were systematically searched, and reference harvesting was conducted to identify peer-reviewed articles that empirically examined associations between a lifetime history of sexual victimization and PND. A random effects model was used to ascertain an overall pooled effect size estimate in the form of an odds ratio and corresponding 95% confidence intervals (CIs). Subgroup analyses were also conducted to assess whether particular study features and sample characteristic (e.g., race and ethnicity) influenced the magnitude of effect size estimates. Results: This review included 36 studies, with 45 effect size estimates available for meta-analysis. Women with a lifetime history of sexual victimization had 51% greater odds of experiencing PND relative to women with no history of sexual victimization ( OR = 1.51, 95% CI [1.35, 1.67]). Effect size estimates varied considerably according to the PND instrument used in each study and the racial/ethnic composition of each sample. Conclusion: Findings provide compelling evidence for an association between a lifetime history of sexual victimization and PND. Future research should focus on screening practices and interventions that identify and support survivors of sexual victimization perinatally.

Analytic and bootstrap confidence intervals for the common-language effect size estimate

Evaluating how an effect-size estimate performs between two continuous variables based on the common-language effect size (CLES) has received increasing attention. While Blomqvist (1950; https://doi.org/10.1214/aoms/1177729754) developed a parametric estimator (q') for the CLES, there has been limited progress in further refining CLES. This study: a) extends Blomqvist’s work by providing a mathematical foundation for Bp (a non-parametric version of CLES) and an analytic approach for estimating its standard error; and b) evaluates the performance of the analytic and bootstrap confidence intervals (CIs) for Bp. The simulation shows that the bootstrap bias-corrected-and-accelerated interval (BCaI) has the best protected Type 1 error rate with a slight compromise in Power, whereas the analytic-t CI has the highest overall Power but with a Type 1 error slightly larger than the nominal value. This study also uses a real-world data-set to demonstrate the applicability of the CLES in measuring the relationship between age and sexual compulsivity.

EMDR for Depression: A Meta-Analysis and Systematic Review

The literature on the efficacy of eye movement desensitization and reprocessing (EMDR) for treating depression is heterogeneous due to research design, quality issues, and trials methodology. The current meta-analysis seeks to examine EMDR for depression with the aim of answering the aforementioned limitations. Thirty-nine studies were included for analysis after a review of the relevant literature. Univariate meta-regressions were run to examine dose-response and the effect of moderating variables. Subanalysis for primary and secondary depression showed a large, significant, and heterogeneous effect-size estimates, where EMDR significantly improved symptoms of depression in contrast to all control types. At post hoc, data were reexamined and a significant and large, yet heterogeneous, effect-size estimate emerged between the EMDR and control arm after the removal of two outliers [Hedges' g = 0.70, 95% CI =0.50–0.89, p-value < .01, I2 = 70%, K = 37]. This is the first meta-analysis examining for the effect of EMDR comparing to various control modalities on depression with dose-response. We found (a) that studies were balanced at onset in terms of depression severity, and (b) a large and significant effect of EMDR on depression at the end of trials. Additionally, the significance of the aggregate effect-size estimate at the end of trials was unchanged by the intake of psychotropic medications, reported demographic variables, or EMDR methodology.

Design and Analysis of Replication Studies

Issues surrounding the importance and interpretation of replication research have generated considerable debate and controversy in recent years. Some of the controversy can be attributed to imprecise and inadequate specifications of the statistical criteria needed to assess replication and nonreplication. Two types of statistical replication evidence and four types of statistical nonreplication evidence are described. In addition, three types of inconclusive statistical replication evidence are described. An important benefit of a replication study is the ability to combine an effect-size estimate from the original study with an effect-size estimate from the follow-up study to obtain a more precise and generalizable effect-size estimate. The sample size in the follow-up study is an important design consideration, and some methods for determining the follow-up sample size requirements are discussed. R functions are provided that can be used to analyze results from a replication study. R functions to determine the appropriate sample size in the follow-up study also are provided.

A meta-analysis of the emotional victim effect for female adult rape complainants: Does complainant distress influence credibility?

Rape cases have a disproportionately high attrition rate and low conviction rate compared to other criminal offenses. Evaluations of a rape complainant’s credibility often determine whether a case progresses through the criminal justice system. Even though emotional demeanor is not related to witness honesty or accuracy, distressed rape complainants are perceived to be more credible than complainants who present with controlled affect. To understand the extent and robustness of the influence of emotional demeanor on credibility judgments of female adult rape complainants, we conducted a systematic review, meta-analysis and p-curve analysis of the experimental simulated decision-making literature on the influence of complainant emotional demeanor on complainant credibility. The meta-analysis included 20 studies with participants who were criminal justice professionals (e.g., police officers and judges), community members, and mock jurors (N = 3128). Results suggest that distressed demeanor significantly increased perceptions of complainant credibility, with a small to moderate effect size estimate. Importantly, the results of p-curve analysis suggest that reporting bias is not a likely explanation for the effect of emotional demeanor on rape complainant credibility. Sample type (whether perceivers were criminal justice professionals or prospective jurors) and stimulus modality (whether perceivers read about or watched the complainant recount the alleged rape) were not found to moderate the effect size estimate. These results suggest that effective methods of reducing reliance on emotional demeanor to make credibility judgments about rape complainants should be investigated to make credibility assessments fairer and more accurate.

Association of study characteristics with estimates of effect size in studies of ecstasy use

Studies of the chronic effects of MDMA, or ‘ecstasy’, in humans have been largely inconsistent. We explored whether study-level characteristics are associated with the effect size estimate reported. We based our analyses on the recent systematic review by Rogers and colleagues, focusing on those meta-analyses within this report where there was a relatively large number of studies contributing to each individual meta-analysis. Linear regression was used to investigate the association between study level variables and effect size estimate, weighted by the inverse of the SE of the effect size estimate, with cluster correction for studies which contributed multiple estimates. This indicated an association between effect size estimate and both user group, with smaller estimates among studies recruiting former users compared with those recruiting current users, and control group, with smaller estimates among studies recruiting polydrug user controls compared with those recruiting drug-naïve controls. In addition, increasing year of publication was associated with reduced effect size estimate, and there was a trend level association with prevalence of ecstasy use, reflecting smaller estimates among studies conducted in countries with higher prevalence of ecstasy use. Our data suggest a number of study-level characteristics which appear to influence individual study effect size estimates. These should be considered when designing future studies, and also when interpreting the ecstasy literature as a whole.