EXAMINING THE PREDICTABLE STAGES OF SCHOOL DECLINE THROUGH A CAMPUS CASE STUDY

Background: For decades, public education, particularly in urban communities, has failed to ensure students of color are able to experience sustained academic success. As a result, campuses within these communities often find themselves vacillating between impending school improvement reforms and short-lived school improvements, only to return to a state of decline within a few years. Research findings on declining civilizations, organizations and teams reveal parallels to the complex characteristics found within schools in decline. Purpose: The purpose of this study was to explore the complexities within the predictable stages of school decline in an urban, high school through the lens of five critical leaders that served on the campus before and during the decline. The participants’ roles range from teacher-leaders to campus principals. The stories of school decline provide insight for educational leaders within these settings, potentially helping them to avoid predictable pitfalls associated with avoiding school decline. Methods: An instrumental case study design using purposeful sampling was conducted to answer how and why: (a) the organization was blind to the early stages of decline, (b) recognized the need to change, yet failed to act, (c) took action that was inappropriate, and, (d) reached a point of crisis. To ensure internal validity, triangulation using multiple sources of data and member checking were employed. The researcher determined and codified emerging themes from retrospective interviews of five participants who occupied leadership roles on the campus during the decline: two principals, one assistant principal, and two teachers. Participant interviews were audio recorded, transcribed, and codified, and historical documents were gathered to identify school-wide practices and turnaround/decline timelines. Historical background provided context for the case. Findings from the interviews were cross-checked against data reports on the campus retrieved from the state education agency, district disaggregated state testing reports, and a campus improvement plan at a critical point during the decline, and the researcher solicited feedback on emerging findings from participants to determine if interpretations ring true. Findings: The findings from this case study reveal school decline does exist in predictable stages, but not in the definitive, linear fashion, suggested by Weitzel and Jonsson’s model of organizational decline. The most prominent stages of decline determined by the participants were Stage 1: where the organization was blind to the problem and Stage 3: where the organization took inappropriate action(s) to address the problem. The campus, before and concurrent with its decline, engaged in prudent, strategic actions that yielded positive results for the campus, albeit un-sustained. Lastly, the district level leadership was found to be a significant factor in school decline, contributing to the numerous years of internal campus instability. Conclusion: The research produced findings to support research highlighting campus blindness to the problem and inappropriate actions to address the problem as key factors in school decline. The results of the study suggest a need for further research on the topic of school decline and for reflection at the district and campus leadership levels to engage in strategic and partnered practices over time to interrupt and redirect school decline.Educational Leadership and Policy Studies, Department o

STUDIES OF GENETIC VARIATION AT THE KIT LOCUS AND WHITE SPOTTING PATTERNS IN THE HORSE

There are numerous different white spotting patterns in the horse, including two of particular interest tobiano and sabino. In the mouse, genetic variation in the gene KIT causes many white spotting patterns. Due to the phenotypic similarity among white spotting patterns in horses and mice, KIT was investigated as the cause of the tobiano and sabino spotting patterns in horses. Initially, the KIT cDNA sequences from horses with several spotting patterns were compared. Three single nucleotide polymorphisms (SNPs) were identified, though none were associated with a spotting pattern. Three novel splicing variants were also observed: exon 17 skipping, exon 18 skipping and alternative splicing of exon 3. Families segregating for a sabino spotting pattern (designated Sabino 1) and exon 17 skipping were discovered. Sequencing revealed a SNP (KI16+1037) within intron 16 that was completely associated with skipping of exon 17. Using a PCR-RFLP for KI16+1037, linkage was discovered for sabino spotting (LOD=9.02 for =0) and presence of the Sabino 1 allele detected in seven breeds. While all horses with this SNP exhibited the Sabino 1 phenotype, some horses with a sabino phenotype did not possess the SNP. This is most likely due to genetic heterogeneity of the phenotype. Fluorescent in situ hybridization (FISH) was used to investigate the possibility of chromosome inversion in the region of KIT. A chromosomal inversion was discovered spanning ECA3q13 to 3q21 using BAC clones containing KIT and other genes in the same region. The ECA3q inversion was completely associated with Tobiano in the eight horses tested by FISH. This inversion may disrupt regulatory sequences of the KIT gene and thereby cause tobiano spotting. Spotting patterns are important to horse breeders for aesthetic as well as economic reasons. Spotting patterns in the horse may also be an interesting scientific model. The two genetic variants discovered in this work are good examples of genetic diversity due to mechanisms other than SNPs. Study of these variants may be valuable for examining the effects of the KIT gene on health traits. In particular, the KIT gene directs many functions of the mast cell, a cell that is involved in the etiology of inflammation

Holding Steady, Looking Ahead: Annual Findings of a 50-State Survey of Eligibility Rules, Enrollment and Renewal Procedures, and Cost Sharing Practices in Medicaid and CHIP, 2010-2011

Analyzes findings on state trends in maintaining or expanding eligibility for public coverage and improving enrollment and renewal procedures. Highlights the challenges of developing the Web-based eligibility systems required under healthcare reform

Medicaid and CHIP Eligibility, Enrollment, Renewal, and Cost-Sharing Policies as of January 2016: Findings from a 50-State Survey

January 2016 marks the end of the second full year of implementation of the Affordable Care Act's (ACA) key coverage provisions. This 14th annual 50-state survey of Medicaid and CHIP eligibility, enrollment, renewal, and cost-sharing policies provides a point-in-time snapshot of policies as of January 2016 and identifies changes in policies that occurred during 2015. Coverage is driven by two key elements -- eligibility levels determine who may qualify for coverage, and enrollment and renewal processes influence the extent to which eligible individuals are enrolled and remain enrolled over time. This report provides a detailed overview of current state policies in these areas, which have undergone significant change as a result of the ACA.Together, the findings show that, during 2015, states continued to implement the major technological upgrades and streamlined enrollment and renewal processes triggered by the ACA. These changes are helping to connect eligible individuals to Medicaid coverage more quickly and easily and to keep eligible people enrolled as well as contributing to increased administrative efficiencies. However, implementation varies across states, and lingering challenges remain. The findings illustrate that the program continues to be a central source of coverage for low-income children and pregnant women nationwide and show the growth in Medicaid's role for low-income adults through the ACA Medicaid expansion

Performing Under Pressure: Annual Findings of a 50-State Survey of Eligibility, Enrollment, Renewal, and Cost-Sharing Policies in Medicaid and CHIP, 2011-2012

Analyzes findings on state trends in maintaining or expanding eligibility for public coverage and improving enrollment and renewal procedures. Highlights some states' expansion of Medicaid eligibility and the use of technology to achieve efficiencies

Method for Screening for a Tobiano Coat Color Genotype

A method for screening for a Tobiano genotype includes obtaining a nucleic acid from an equine animal, and analyzing the nucleic acid for the presence of an inversion in a chromosome ECA3q which is indicative of the genotype for Tobiano. The method includes detecting at least one of a telomeric breakpoint of an inverted ECA3q chromosome and/or a centromeric breakpoint of an inverted ECA3q chromosome. In one embodiment, the nucleic acid may be analyzed by the steps of hybridizing the group of probes or primers having the sequences set forth herein in SEQ ID NO:8, SEQ ID NO: 9, and SEQ ID NO: 10, or sequences complementary thereto, and preparing an amplification product. A 209 bp nucleic acid amplification product (SEQ ID NO:11) indicates the presence of the inversion

Impulsivity and Compulsivity in Anorexia Nervosa: Cognitive Systems Underlying Variation in Appetite Restraint from an RDoC Perspective

Contemporary nomenclature for anorexia nervosa (AN) describes the eating disorder as transdiagnostic, with overlapping facets of impulsivity and compulsivity contributing to variations in binge-purge, restrictive eating and maladaptive cognitions. It is important to understand how these facets interact, given that those diagnosed with AN often fluctuate and relapse–as opposed to maintaining a stable diagnosis—between Diagnostic and Statistical Manual version 5 (DSM-5) categories, over the life course. The National Institute of Health’s Research Domain Criteria (NIH RDoC) subscribes to the transdiagnostic view of mental disorders and provides progressive guidelines for neuroscience research. As such, using the RDoC guidelines may help to pinpoint how impulsivity and compulsivity contribute to the cognitive mechanisms underlying variations in appetite restraint in eating disorders and common psychiatric comorbidities such as anxiety and obsessive-compulsive disorder. Exploring impulsivity and compulsivity in AN from the perspective of the RDoC cognitive systems domain is aided by measures of genetic, molecular, cellular, neural, physiological, behavioural and cognitive task paradigms. Thus, from the standpoint of the RDoC measures, this chapter will describe some of the ways in which impulsivity and compulsivity contribute to the cognitive systems associated with appetite restraint in AN, with the aim of further clarifying a model of appetite restraint to improve treatment interventions

The role of working memory for cognitive control in anorexia nervosa versus substance use disorder

Prefrontal cortex executive functions, such as working memory (WM) interact with limbic processes to foster impulse control. Such an interaction is referred to in a growing body of publications by terms such as cognitive control, cognitive inhibition, affect regulation, self-regulation, top-down control, and cognitive-emotion interaction. The rising trend of research into cognitive control of impulsivity, using various related terms reflects the importance of research into impulse control, as failure to employ cognitions optimally may eventually result in mental disorder. Against this background, we take a novel approach using an impulse control spectrum model - where anorexia nervosa (AN) and substance use disorder (SUD) are at opposite extremes - to examine the role of WM for cognitive control. With this aim, we first summarize WM processes in the healthy brain in order to frame a systematic review of the neuropsychological, neural and genetic findings of AN and SUD. In our systematic review of WM/cognitive control, we found n = 15 studies of AN with a total of n = 582 AN and n = 365 HC participants; and n = 93 studies of SUD with n = 9106 SUD and n = 3028 HC participants. In particular, we consider how WM load/capacity may support the neural process of excessive epistemic foraging (cognitive sampling of the environment to test predictions about the world) in AN that reduces distraction from salient stimuli. We also consider the link between WM and cognitive control in people with SUD who are prone to 'jumping to conclusions' and reduced epistemic foraging. Finally, in light of our review, we consider WM training as a novel research tool and an adjunct to enhance treatment that improves cognitive control of impulsivity. © 2017 Brooks, Funk, Young and Schiöth