THE IMPACT OF COLLECTIVE BARGAINING ON FACULTY COMPENSATION IN COMMUNITY COLLEGES

This study examines the impact of collective bargaining on faculty compensation at two‐year colleges over the period 1970‐81. The results show that faculty at unionized community colleges have not experienced significantly greater increases in compensation than their nonunionized brethren. In fact, the nonunion institutions actually experienced higher relative gains in compensation for the first three years after the unionized colleges first engaged in collective bargaining.     

Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches

Little, Bovaird and Widaman (2006) proposed an unconstrained approach with residual centering for estimating latent interaction effects as an alternative to the mean-centered approach proposed by Marsh, Wen, and Hau (2004, 2006). Little et al. also differed from Marsh et al. in the number of indicators used to infer the latent interaction factor and how they were represented, but this issue is separate from the mean versus residual centering distinction that was their primary focus. However, their implementation of the Marsh et al. mean-centered approach failed to incorporate the mean structure that Marsh et al. argued was necessary to obtain unbiased estimates. One might suppose that their new approach would suffer this same problem, an issue not addressed by Little et al. However, we demonstrate here why the Little et al. approach obviates this requirement that heretofore was thought to be necessary for all constrained, partially constrained, and unconstrained approaches. Both the Marsh et al. and Little et al. unconstrained approaches typically result in similar results and are much easier to implement than traditional constrained approaches. They differ primarily in that the Little et al. approach is a 2-step approach involving a potentially large number of separate analyses prior to estimating the structural equation model that apparently does not require the estimation of a mean structure, whereas the Marsh et al. approach is a 1-step approach that includes a mean structure.     

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.     

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.     

Implementing the 2014 SEND reforms in England: perspectives from SENCOs

This article is based on research conducted within two years of the 2014 SEND (special educational needs and disability) reforms being in force and reports on the experiences of five SENCOs (special educational needs coordinators) on implementing the reforms in London schools. The research was conducted primarily to inform professional practice and improve delivery of the principles underpinning the reforms. The research deployed an adapted version of SWOT analysis as a tool for seeking the views of SENCOs on the perceived benefits and challenges of the SEND reforms. The findings demonstrate that SENCOs broadly support the principles of the reforms. However, SENCOs find some of the procedures in the 2015 SEND Code of Practice as proving problematic. There still remains a significant focus on managing administrative processes, rather than bringing about a fundamental change to school culture and educational provision. The article concludes by making several recommendations on ways to reduce bureaucracy for SENCOs and increase their focus on classroom practice.     

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.