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Partnerships between educational researchers and school-based administrators and educators is imperative to successfully identifying evidence-based practices to improve pedagogy, curriculum, and student outcomes. In this paper, we recognize how being approached by educational researchers can be overwhelming for administrators and educators. We offer a perspective that may help school-based personnel understand the motivation behind research requests and how administrators can frame their response to these requests using a critical lens to ensure these partnerships are beneficial to their school community.

We tell the story of how our friendship, which led to our co-teaching, was a catalyst for us to navigate the shift to working from home amid a pandemic. Using a co-constructed autoethnography, we narrate how the loss of our physical workspaces was a detriment to our professional identities, and how through our co-teaching efforts, we were able to support each other as colleagues, friends, and fellow female academics. We maintain that our collaborative teaching efforts during the pandemic were paramount to us being able to get through the initial COVID-19 shutdown, and argue that we as a profession might consider some of the learned lessons of shared work as we look towards a post-COVID world.

This study compared five common multilevel software packages via Monte Carlo simulation: HLM 7, M"plus" 7.4, R (lme4 V1.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation accuracy and speed, as well as convergence, when modeling multiple randomly varying slopes of different magnitudes. Simulated data included population variance estimates, which were zero or near zero for two of the five random slopes. Generally, when yielding admissible solutions, all five software packages produced comparable and reasonably unbiased parameter estimates. However, noticeable differences among the five packages arose in terms of speed, convergence rates, and the production of standard errors for random effects, especially when the variances of these effects were zero in the population. The results of this study suggest that applied researchers should carefully consider which random effects they wish to include in their models. In addition, nonconvergence rates vary across packages, and models that fail to converge in one package may converge in another.

By tradition, editors of Assessment for Effective Intervention (AEI) typically serve 3-year terms. As of January 1, 2024, AEI officially transitioned from outgoing editor Dr. Leanne Ketterlin Geller to incoming co-editors Drs. Aarti Bellara and Nathan Stevenson. The following article describes recent history and current state of AEI as a peer-reviewed scientific journal. The new editorial team describes some of the challenges ahead and their vision for the future of AEI. [ABSTRACT FROM AUTHOR]

The purpose of this article is to illustrate how institutional racism is mediated by faculty negotiating power and privilege in the selection of Black (African American) women into an educational leadership preparation program. Critical race theory (CRT) praxis is used to analyze the faculty dynamics in the candidate selection process situated in a race neutral institutional culture. This reflective case study of an educational leadership department draws on qualitative data such as field notes from faculty conversations, experiential knowledge, memos, and quantitative data describing the disproportionate rejection of Black women applying to an educational leadership program in the US. Efforts to confront a race neutral process prompted by the higher rejection rate of Black women in comparison to their white counterparts prompted some faculty to engage in race conscious discourse. Faculty in departments of educational leadership who provoke race conscious dialogue on how they are implicated in institutional racism will likely face risks they will need to (em)brace for the battle against inertia.

Body weight is a common reason youth face stigma, yet it has received little attention from athletic coaches working closely with youth of diverse sizes. The present study assessed weight bias in middle and high school athletic coaches (N = 320) via a survey of demographic characteristics and explicit weight bias (Fat Phobia Scale-Short Form). Results indicate moderate levels of bias (M = 3.44, SD = 0.42), with mean scores slightly lower compared to general community samples, yet higher than other specialized groups, and not varying based on the gender of the coach, the gender of the athletes coached, or the type of sport. Psychometric properties of the Fat Phobia Scale-Short Form were assessed through confirmatory factor analysis, suggesting a one-factor model as too simplistic. Implications for future research on this topic are explored, noting the importance of coaches understanding biases and the implications of bias on coaching practices. [ABSTRACT FROM AUTHOR]