Meta-Analysis of the Effects of Peer-Administered Psychosocial Interventions on Symptoms of Depression

Many community mental health centers have implemented peer treatment models that employ recovered former clients as cost‐efficient adjunct providers. The effectiveness of these and other peer‐administered interventions (PAIs) for treating depression symptoms has not been well‐established. The current study is a meta‐analysis of PAIs’ effects on depression symptoms. Twenty‐three eligible studies were identified. Study characteristics were coded by multiple raters, random‐effects models were used to compare mean effect sizes, and mixed‐effects models were used to test for moderation. PAIs produced significant pre‐post reductions in depression symptoms (d = .5043 [95 % CI .3675–.6412]). In direct comparisons, PAIs performed as well as non‐peer‐administered interventions (.0848 [?.1455–.3151]), and significantly better than no‐treatment conditions (.2011 [.0104–.3918]). PAIs that involved a professional in a secondary treatment role were significantly less effective than those that were purely peer‐administered, and educational/skills‐based PAIs produced better outcomes than those that were mainly supportive. Follow‐up data, when available, indicated that PAIs’ benefits were maintained. PAIs reduce depression symptoms and warrant further study. The clinical significance of PAIs’ benefits, and whether they are better suited as stand‐alone or adjunct treatments, remain to be established. Implications for the roles of mental health professionals are discussed.     

Peer Assessment of Aviation Performance: Inconsistent for Good Reasons

Research into expertise is relatively common in cognitive science concerning expertise existing across many domains. However, much less research has examined how experts within the same domain assess the performance of their peer experts. We report the results of a modified think‐aloud study conducted with 18 pilots (6 first officers, 6 captains, and 6 flight examiners). Pairs of same‐ranked pilots were asked to rate the performance of a captain flying in a critical pre‐recorded simulator scenario. Findings reveal (a) considerable variance within performance categories, (b) differences in the process used as evidence in support of a performance rating, (c) different numbers and types of facts (cues) identified, and (d) differences in how specific performance events affect choice of performance category and gravity of performance assessment. Such variance is consistent with low inter‐rater reliability. Because raters exhibited good, albeit imprecise, reasons and facts, a fuzzy mathematical model of performance rating was developed. The model provides good agreement with observed variations.     

Mobile Internet Testing: An analysis of equivalence,individual differences,and reactions

Mobile internet testing (MIT) is the latest cost effective technological push in employment testing. The ability to access assessments via the internet using mobile devices provides increased speed and convenience for both administrators and respondents. In this article, we examine the equivalence of MIT compared with testing on personal computers (PCs) and whether attitudes and other individual differences influence responses and reactions to MIT. Results demonstrated equivalence for a supervisory situational judgment test across testing modes, but not for a cognitive ability test. Significant relationships were found between anxiety and both performance and reactions to mobile assessment. Respondents also reported significantly more positive reactions when tested on a PC versus a mobile device. Future research and practical implications are discussed.     

The effectiveness of three strategies to reduce the influence of bias in evaluations of female leaders

This study tests the effectiveness of three strategies [structured free recall (SFR), source monitoring, and error management] to reduce the impact of raters' stereotypes on evaluations of female leaders. Results reveal several three‐way interactions indicating that that the strategies became more effective as raters' implicit bias decreased. Findings show that the source monitoring and SFR methods were more effective than the error management strategy. The results have implications for improving opportunities for women to advance through the leadership ranks. This study adds to the literature by comparing multiple strategies to reduce the influence of individuals' biases in evaluations of women in leadership positions and revealing the importance of considering raters' implicit gender biases in evaluations.     

Development and Initial Validation of a Scale Measuring the Beliefs of Educators Regarding Response to Intervention

This article presents information on the development and initial validation of the 16-item Response to Intervention (RTI) Beliefs Scale. The scale is designed to measure the extent to which educators working in schools hold beliefs consistent with the tenets of RTI. The authors administered the instrument to 2,430 educators in 62 elementary schools in the fall of 2007 and 2,443 educators in 68 elementary schools in the spring of 2008. Exploratory, single-level confirmatory, and multilevel confirmatory factor analysis procedures were used to examine construct validity. Results supported a correlated 3-factor model (Academic Abilities and Performance of Students with Disabilities, Data-Based Decision Making, and Functions of Core and Supplemental Instruction) at both the school and educator levels of analysis. Furthermore, the factor scores derived from the model demonstrated significant, positive relations to RTI implementation. Reliability estimates for two of the three factor scores exceeded.70. Implications for research on educator beliefs and implementation of RTI as well as implications for school psychologists supporting RTI implementation are discussed.