The NICHD Investigative Interview Protocol: A Meta-Analytic Review

Systematic review and meta-analysis of literature were conducted examining the effectiveness of the National Institute for Child Health and Human Development Investigative Interview Protocol in improving the quality of child forensic interviews. Online databases were searched for journal articles published between the years 2000 and 2013. Measures of interview quality were the type of interviewer utterances and the amount of information provided by children. Five studies met criteria for inclusion in the meta-analysis. Weighted mean of the effect sizes was calculated for each outcome measure. Protocol interviews had more invitations (g = 1.60) and fewer option-posing (g = ?.95) and suggestive prompts (g = ?.63) than standard interviews. Children interviewed by the protocol provided more central details (g = .90) in response to invitations than controls. Meta-analyses of a subset of preschool children samples revealed that protocol interviews had more invitations (g = 1.46), fewer suggestive prompts (g = ?.61), and fewer option-posing prompts (g = ?1.05) than controls. Findings corroborate results from previous studies that suggested the benefits of the protocol on the interviewers’ performance and on children’s informativeness. However, protocol did not show the same performance with regard to preschool children.     

企业RFID技术采纳行为研究现状评述

作为物联网的关键技术之一,RFID技术的采纳对于提高企业技术和管理水平具有重要意义。目前,国内外企业RFID技术采纳行为研究已取得一定进展。首先,从信息技术采纳的概念、理论基础、采纳行为理论的应用等3个方面对信息技术采纳行为进行了介绍;其次,从理论基础、研究模型、影响因素、研究方法等4个维度对企业RFID技术采纳行为的国内外研究现状进行了回顾,指出了其中的不足及未来研究方向。     

Leadership behaviour and leader self-reported well-being: A review,integration and meta-analytic examination

ABSTRACT

While the link between leadership and follower well-being is well established, less is known about the relation between leaders’ leadership behaviour and their own well-being. Particularly, a systematic integration of existing studies is missing. Based on an integrated framework summarising major theories on the leader well-being–leadership link, we quantitatively synthesised findings on the relations between different leadership behaviours and leader well-being indicators. The meta-analytical results (95 effect sizes; N?=?12,617) confirmed significant relationships of constructive and destructive leadership with leader well-being in the expected directions. Relative weight analyses on the constructive leadership behaviours showed that change-oriented and relational-oriented leadership (e.g. transformational, participative) accounted for more variance in leader well-being than task-oriented leadership (e.g. transactional). Regarding destructive leadership, active destructive leadership (e.g. abusive supervision) showed stronger negative associations with leader well-being than passive leadership (e.g. laissez-faire). Based on our integrated framework, we proposed and found support for divergent patterns of associations for different forms of well-being (positive vs. negative, short-term vs. long-term, job-related vs. general). Our study demonstrates a considerable linkage between leader well-being and leadership, supporting the adoption of leadership development programmes and organisational health interventions for leaders given their impact on employees, teams and organisations.     

A meta-analysis of effectiveness of E-interventions to reduce alcohol consumption in college and university students.

Objective: To evaluate the effectiveness and moderators of E-Interventions versus assessment only (AO) controls in the reduction of alcoholic drinks per week (DPW) in university students.

Study design and methods: Cochrane library, CINAEL, ERIC, MEDLINE, PsycINFO, PubMed, and Web of Science were searched up to June 2017. Studies were included if they were: an RCT, assessed the effectiveness of E-Interventions at reducing DPW, and employed university/college students. 23 studies (N = 7,614) were included and quality was assessed using the JADAD scale.

Results: Weighted mean effect sizes were calculated using random-effects models. These showed a small, significant effect of E-Interventions at reducing the number of alcoholic DPW. Moderator analysis found a significant advantage for web-based personalised feedback interventions compared to other E-Interventions.

Conclusions: E-Interventions show a small, significant effect at reducing mean alcoholic DPW. Personalised feedback E-Interventions showed the strongest effect.     

Characterizing Dose-Response Relationships in Multiple Cancer Bioassays

In the evaluation of chemical compounds for carcinogenic risk, regulatory agencies such as the U.S. Environmental Protection Agency and National Toxicology Program (NTP) have traditionally fit a dose-response model to data from rodent bioassays, and then used the fitted model to estimate a Virtually Safe Dose or the dose corresponding to a very small increase (usually 10(-6)) in risk over background. Much recent interest has been directed at incorporating additional scientific information regarding the properties of the specific chemical under investigation into the risk assessment process, including biological mechanisms of cancer induction, metabolic pathways, and chemical structure and activity. Despite the fact that regulatory agencies are currently poised to allow use of nonlinear dose-response models based on the concept of an underlying threshold for nongenotoxic chemicals, there have been few attempts to investigate the overall relationship between the shape of dose-response curves and mutagenicity. Using data from an historical database of NTP cancer bioassays, the authors conducted a repeated-measures Analysis of the estimated shape from fitting extended Weibull dose-response curves. It was concluded that genotoxic chemicals have dose-response curves that are closer to linear than those for nongenotoxic chemicals, though on average, both types of compounds have dose-response curves that are convex and the effect of genotoxicity is small.     

Psychiatric Disorders and Treatment in Adoptees: A Meta-Analytic Comparison with Non-Adoptees

ABSTRACT

This meta-analysis integrates the results of 85 studies on psychiatric disorders and treatment in adoptees and non-adoptees. The risk of adoptees experiencing psychiatric disorders, contact with mental health services, or treatment in a psychiatric hospital was approximately twice as high as that of non-adoptees. Elevated risks were observed for attention-deficit/hyperactivity disorders, anxiety disorders, conduct disorders/oppositional defiant disorders, depression, substance use disorders, and psychoses. Larger effect sizes were, in part, found in clinical studies than in community-based studies, in studies with a higher percentage of individuals adopted after the age of three years and international adoptees, and in older studies.     

Safety climate and safety outcomes: A meta-analytic comparison of universal vs. industry-specific safety climate predictive validity

Previous research has demonstrated that safety climate is a robust predictor of safety-related outcomes. However, there is little consensus about the optimal strategy to measure safety climate. One of the main issues has been whether safety climate measures should be universal or industry-specific. As such, this study was designed to examine the criterion-related validity of universal and industry-specific safety climate measures by conducting a meta-analytic comparison of their relationships with a variety of safety-related outcomes (i.e. safety behaviour, risk perceptions, accidents and injuries, and other adverse events). With 120 independent samples (N?=?81,213), we found that the industry-specific safety climate measures displayed better predictive power when predicting safety behaviour and risk perceptions than the universal safety climate measures. On the other hand, the universal safety climate measures displayed better predictive power when predicting other adverse events (but not accidents and injuries) than the industry-specific safety climate measures. We discuss these findings in light of the intended use of organisational safety climate surveys.     

Hierarchical Bayesian meta-analysis models for cross-platform microarray studies

The development of new technologies to measure gene expression has been calling for statistical methods to integrate findings across multiple-platform studies. A common goal of microarray analysis is to identify genes with differential expression between two conditions, such as treatment versus control. Here, we introduce a hierarchical Bayesian meta-analysis model to pool gene expression studies from different microarray platforms: spotted DNA arrays and short oligonucleotide arrays. The studies have different array design layouts, each with multiple sources of data replication, including repeated experiments, slides and probes. Our model produces the gene-specific posterior probability of differential expression, which is the basis for inference. In simulations combining two and five independent studies, our meta-analysis model outperformed separate analyses for three commonly used comparison measures; it also showed improved receiver operating characteristic curves. When combining spotted DNA and CombiMatrix short oligonucleotide array studies of Geobacter sulfurreducens, our meta-analysis model discovered more genes for fixed thresholds of posterior probability of differential expression and Bayesian false discovery than individual study analyses. We also examine an alternative model and compare models using the deviance information criterion.     

Prior distributions for variance parameters in a sparse-event meta-analysis of a few small trials

In rare diseases, typically only a small number of patients are available for a randomized clinical trial. Nevertheless, it is not uncommon that more than one study is performed to evaluate a (new) treatment. Scarcity of available evidence makes it particularly valuable to pool the data in a meta-analysis. When the primary outcome is binary, the small sample sizes increase the chance of observing zero events. The frequentist random-effects model is known to induce bias and to result in improper interval estimation of the overall treatment effect in a meta-analysis with zero events. Bayesian hierarchical modeling could be a promising alternative. Bayesian models are known for being sensitive to the choice of prior distributions for between-study variance (heterogeneity) in sparse settings. In a rare disease setting, only limited data will be available to base the prior on, therefore, robustness of estimation is desirable. We performed an extensive and diverse simulation study, aiming to provide practitioners with advice on the choice of a sufficiently robust prior distribution shape for the heterogeneity parameter. Our results show that priors that place some concentrated mass on small τ values but do not restrict the density for example, the Uniform(−10, 10) heterogeneity prior on the log(τ²) scale, show robust 95% coverage combined with less overestimation of the overall treatment effect, across varying degrees of heterogeneity. We illustrate the results with meta-analyzes of a few small trials.     

Revealing the elusive effects of vividness: a meta-analysis of empirical evidences assessing the effect of vividness on persuasion

Despites decades of research, past studies focusing on the effects of vividness on persuasion found mixed and contradictory results. In order to solve this conflicting issue, a meta-analysis was conducted on empirical studies assessing the impact of vivid (vs. pallid) communications on attitude and/or behavioral intention. Overall, 27 articles (k = 43; N = 7575) were included. Our results showed that vividness yielded significant small-to-medium effect on both attitude (d₊ = .31) and behavioral intention (d₊ = .39). Furthermore, meta-regression analyses indicated that memory recall, cognitive elaboration, and topic valence moderated these effects, whereas vividness/argument congruency was not significantly related to the variations of effects sizes. Finally, theoretical implications of theses finding will be discussed.