This qualitative case study explored how school district and campus-level administrators coordinate resources and services for currently enrolled homeless students. Participants in this study included three district-level administrators designated as the homeless liaison and three campus principals. Data collected and analyzed included audio recordings of semi-structured interviews of each participant, documents at the district and campus-levels, school board meeting notes, and research field notes. The findings suggested that district and campus stakeholders embraced a shared vision of collaborative policy implementation to support the needs of students living in homelessness conditions. Findings also suggested that moral purpose is reflected through the intentional, collaborative efforts of district and campus administrators. Additionally, the findings suggested that social capital develops in the collaborative processes between district and campus leaders while they broker resources to foster developing social capital of this student population. Mobilization of resources through collaborative policy implementation can foster cohesion while supporting students and can counter the impact of living in homelessness conditions.

While the idea of source or teacher credibility dates back to the Greek philosopher, Aristotle, research to connect this perceived credibility with individual affective and cognitive growth is a more recent phenomenon. In 2009, a credibility learning model connecting perceived credibility to cognitive learning with university-aged subjects was established. In contrast, this research project focused on determining a link between K-12 students' perception of teacher credibility, as determined by a student survey, to cognitive academic achievement as rated by a standardized test, the State of Texas Assessment of Academic Readiness (STAAR). The survey data were obtained through a pre-existing campus climate survey that was created to assist campus and district administrators in determining campus needs and developing a campus improvement plan. The assessment data were obtained through the Texas Education Agency database. The data were analyzed using quantitative research methods, including traditional univariate and multivariate statistical techniques such as principal component analysis, chi-square tests for independence, and binomial logistic regression. The findings of the study revealed no link between the survey instrument used and student academic achievement on the STAAR reading and mathematics assessment. The survey used did not align with the review of literature regarding student's perception of teacher …