A meta-analysis of the published research on the effects of child sexual abuse (CSA) was undertaken for 6 outcomes: posttraumatic stress disorder (PTSD), depression, suicide, sexual promiscuity, victim-perpetrator cycle, and poor academic performance. Thirty-seven studies published between 1981 and 1995 involving 25,367 people were included. Many of the studies were published in 1994 (24; 65%), and most were done in the United States (22; 59%). All six dependent variables were coded, and effect sizes (d) were computed for each outcome. Average unweighted and weighted ds for each of the respective outcome variables were .50 and .40 for PTSD, .63 and .44 for depression, .64 and .44 for suicide, .59 and .29 for sexual promiscuity, .41 and .16 for victim-perpetrator cycle, and .24 and .19 for academic performance. A file drawer analysis indicated that 277 studies with null ds would be required to negate the present findings. The analyses provide clear evidence confirming the link between CSA and subsequent negative short- and long-term effects on development. There were no statistically significant differences on ds when various potentially mediating variables such as gender, socioeconomic status, type of abuse, age when abused, relationship to perpetrator, and number of abuse incidents were assessed. The results of the present meta-analysis support the multifaceted model of traumatization rather than a specific sexual abuse syndrome of CSA.

Many medical graduates are deficient in anatomy knowledge and perhaps below the standards for safe medical practice. Three-dimensional visualization technology (3DVT) has been advanced as a promising tool to enhance anatomy knowledge. The purpose of this review is to conduct a meta-analysis of the effectiveness of 3DVT in teaching and learning anatomy compared to all teaching methods. The primary outcomes were scores of anatomy knowledge tests expressed as factual or spatial knowledge percentage means. Secondary outcomes were perception scores of the learners. Thirty-six studies met the inclusion criteria including 28 (78%) randomized studies. Based on 2,226 participants including 2,128 from studies with comparison groups, 3DVTs (1) resulted in higher (d = 0.30, 95%CI: 0.02-0.62) factual knowledge, (2) yielded significant better results (d = 0.50, 95%CI: 0.20-0.80) in spatial knowledge acquisition, and (3) produced significant increase in user satisfaction (d = 0.28, 95%CI = 0.12-0.44) and in learners' perception of the effectiveness of the learning tool (d = 0.28, 95%CI = 0.14-0.43). The total mean scores (out of five) and ±SDs for QUESTS's Quality and Strength dimensions were 4.38 (±SD 1.3) and 3.3 (±SD 1.7), respectively. The results have high internal validity, for the improved outcomes of 3DVTs compared to other methods of anatomy teaching. Given that anatomy teaching and learning in the modern medical school appears to be approaching a crisis, 3DVT can be a potential solution to the problem of inadequate anatomy pedagogy.

BackgroundStructural equation modeling (SEM) is a set of statistical techniques used to measure and analyze the relationships of observed and latent variables. Similar but more powerful than regression analyses, it examines linear causal relationships among variables, while simultaneously accounting for measurement error. The purpose of the present paper is to explicate SEM to medical and health sciences researchers and exemplify their application.FindingsTo facilitate its use we provide a series of steps for applying SEM to research problems. We then present three examples of how SEM has been utilized in medical and health sciences research.ConclusionWhen many considerations are given to research planning, SEM can provide a new perspective on analyzing data and potential for advancing research in medical and health sciences.

The predictive validity of the MCAT ranges from small to medium for both medical school performance and medical board licensing exam measures. The medical profession is challenged to develop screening and selection criteria with improved validity that can supplement the MCAT as an important criterion for admission to medical schools.