Assessment of child witness statements using criteria-based content analysis (CBCA): The effects of age,verbal ability,and interviewer's emotional style

Abstract

The goal of the study was to determine what effects age, verbal ability (assessed with WISC-R Vocabulary), and interviewer's emotional style would have on the occurrence of Criteria-Based Content Analysis (CBCA) criteria. Children (N = 68) from three different age-groups (7–8, 10–11, and 13–14 years) made both a true and a false statement concerning a mildly traumatic event. The correct classification rate was 66%. Age and verbal ability were found to increase the occurrence of some of the CBCA criteria irrespective of the truthfulness of the statements. Also, different criteria differentiated between true and false statements in different age groups. Interviewer behaviour also affected the occurrence of the criteria. It is concluded that the CBCA should not be used in court proceedings in its present form.     

Policy’s role in democratic conflict management

Policy Sciences - This article proposes rethinking democratic conflict management by acknowledging the increasingly important role policy plays in it. As the debate on the health of democracy...     

Why do academics engage with industry? The entrepreneurial university and individual motivations

The debate on the entrepreneurial university has raised questions about what motivates academic scientists to engage with industry. This paper provides evidence based on survey data for a large sample of UK investigators in the physical and engineering sciences. The results suggest that most academics engage with industry to further their research rather than to commercialize their knowledge. However, there are differences in terms of the channels of engagement. Patenting and spin-off company formation are motivated exclusively by commercialization whilst joint research, contract research and consulting are strongly informed by research-related motives. We conclude that policy should refrain from overly focusing on monetary incentives for industry engagement and consider a broader range of incentives for promoting interaction between academia and industry.