Structural Equations and Causal Explanations: Some Challenges for Causal SEM

One common application of structural equation modeling (SEM) involves expressing and empirically investigating causal explanations. Nonetheless, several aspects of causal explanation that have an impact on behavioral science methodology remain poorly understood. It remains unclear whether applications of SEM should attempt to provide complete explanations or partial explanations. Moreover, it remains unclear what sorts of things researchers can best take as causes and effects. Finally, the meaning of causal assertions itself remains poorly understood. Attempting to clarify the use of structural equations as causal explanations by addressing these issues has implications for behavioral science methodology because applications of SEM typically remain vague about causation and thus about their substantive conclusions. Research aimed at clarifying these issues can lead to a sharper and more refined use of SEM for causal explanation, and by extension, clarify behavioral science methodology more generally.     

Beyond Framing

Visual news media's framing has been well studied; however, production factors and cultural conditions involved in photographer–subject interactions have attracted less scholarly attention although they are no less influential in determining the depiction. Guided by social constructionism theory, in-depth interviews with staff photojournalists at a daily community newspaper in the Midwest and an analysis of their work revealed 22 variables that impact how and why images look the way they do. Photojournalists have complete control of only two of these variables, share partial control of 13, but have no control over the remaining seven. The photographers also shared insights into how to improve their journalism's verisimilitude when dealing with reactive subjects. The results support concepts of social constructionism that the subjects of photographs are most comfortable with photographers who share similar characteristics, but that some characteristics can have greater influence. The results also highlight areas where photographers might focus in pursuit of authenticity in journalistic photographs.     

Broadening Impact for Library Exhibitions and Speakers

Libraries curate exhibitions and host speakers to promote collections and engage communities. Traditional library exhibit spaces present information gaps for visitors. To bridge these gaps, the University of Florida (UF) created and deployed innovative technologies, the Community Engagement Engine (CEE) for iPads (handheld and kiosks). The CEE facilitates visitor's registration as well as questions and comments sent directly to curators with automated email responses with relevant materials. The CEE allows libraries to aggregate visitor information for targeted outreach and assessment. This article discusses the CEE for innovative community engagement, including considerations for other institutions interested in engaged exhibitions programs.     

Brian Griffiths (1927–2008) – his pioneering contributions to mathematics and education

Brian Griffiths (1927–2008) was a British mathematician and educator who served as a member of the founding editorial board of Educational Studies in Mathematics. As a mathematician, Griffiths is remembered through his work on what continue to be known as ‘Griffiths-type’ topological spaces. As a mathematics educator, his most profound contribution was, with Geoffrey Howson, in offering a conceptualisation of the relationship between mathematics, society and curricula.     

Ideas: A system for international data exchange and access for science

An operational prototype inhomogeneous distributed database system has been built to provide homogeneous access for researchers and managers of science policy to data on research projects held in three countries. The architecture is sufficiently general not only to accommodate additional countries and databases on research projects, but also to provide a general framework for other international collaborative projects aimed at the provision of information. The design exhibits an optimal compromise between sufficient data to satisfy a retrieval request and the minimal data for transmission to maintain the database.