Residual Structures in Latent Growth Curve Modeling

This article presents relevant research on Bayesian methods and their major applications to modeling in an effort to lay out differences between the frequentist and Bayesian paradigms and to look at the practical implications of these differences. Before research is reviewed, basic tenets and methods of the Bayesian approach to modeling are presented and contrasted with basic estimation results from a frequentist perspective. It is argued that Bayesian methods have become a viable alternative to traditional maximum likelihood-based estimation techniques and may be the only solution for more complex psychometric data structures. Hence, neither the applied nor the theoretical measurement community can afford to neglect the exciting new possibilities that have opened up on the psychometric horizon.     

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.     

The Integration of Environmental Education into Two Elementary Preservice Science Methods Courses: A Content-Based and a Method-Based Approach

To examine the notion of environmental education (EE) as context for integrating the elementary curricula, we engaged in a multi-case study analysis (Yin 2009) of two preservice elementary science methods courses that utilized an experiential reflective approach—case one (University A) through a science content focus (i.e., sustainability) and case two (University B) through a method focus (i.e., problem-based learning). We examined preservice teachers’ understandings of EE, their ideas to incorporate EE into their future teaching, and their conceptions of EE as a context for integration. Results indicate that both foci (content and method) were successful in building EE content, helping preservice teachers to envision EE in their future classrooms, and promoting EE as a context for integrating their instruction. Based on these results, we offer recommendations for the incorporation of EE as a context for integration into the elementary science methods course.     

Summer School and Summer Learning: An Examination of the Short- and Longer Term Changes in Student Literacy

Research Findings: Multiple student cohorts were longitudinally tracked and student participation in a summer program bridging the 1st- and 2nd-grade academic years was recorded to examine selection and efficacy issues related to a summer school implementation in the Pacific Northwest. The estimation of regression discontinuity models uncovered evidence of a local average treatment effect. At the cutscore for program admission, participating students had estimated summer oral reading fluency gains approximately 0.40 SD larger than those of nonparticipants. Further examination of the literacy outcomes among the sample of cutscore eligible students revealed that struggling readers who participated in the summer program increased their level of reading fluency relative to struggling readers who declined an invitation to participate. However, the advantage gained by cutscore eligible participants was not sustained over the subsequent academic year. Practice or Policy: These results suggest that supplemental summer instruction delivered to at-risk students may promote literacy gains during the otherwise challenging summer months and thereby serve as a useful intermediary tool for K–12 stakeholders seeking to keep struggling readers on track toward proficiency.     

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.     

The Perceived Threat and Resolvability of Serial Arguments as Correlates of Relational Uncertainty in Romantic Relationships

This study explored the degree to which the perceived threat and resolvability of a serial argument are associated with relational uncertainty in a romantic relationship (i.e., self, partner, and relationship uncertainty). Participants included 147 individuals who were currently in a romantic relationship. Results revealed positive associations between argument frequency and relationship uncertainty, the perceived threat of the argument to the relationship and all three forms of relational uncertainty, and inverse associations between the perceived resolvability of the issue and all three forms of relational uncertainty. Interaction effects emerged for perceived threat by perceived resolvability for self and partner uncertainty, such that the resolvability of the issue diminished the strength of the positive association between the perceived threat of the argument and self and partner uncertainty.     

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.