Interviews were conducted with a purposive sample of thirty school stakeholders. Maximum variation sampling was used to solicit feedback from stakeholders that reflect the state’s diversity of race/ethnicity, income level, and population density (urban, suburban, and rural). Participants included five persons from each stakeholder group: school division leaders, school-level administrators, teachers, mental health staff, school resource officers, and parents. During the interviews, participants were provided a copy of the results from their school climate survey administration and asked to provide feedback on their understanding of the school climate survey report, how they use the data, and what they would recommend changing or improving to increase data use.
Qualitative content analysis will be used to identify themes and patterns in the data. Interview transcripts will be read to get a sense of the whole, and then coded line-by-line, using codes inductively developed from the data. Related codes will be grouped together into categories. As the analysis proceeds, patterns and relationships, both within and across codes, will be sought. Themes, or expressions describing some aspect of the participants' experience, will be derived for this analysis.
Preliminary themes emerging from the data include: a) goal setting and priorities, b) comparability and contextual differences of schools, c) trustworthiness of student responses, and d) parsimony in data reporting. Additional analysis of emerging themes will be conducted to better understand how school stakeholders process data and to inform improvements to the structure and content of school climate data reports.