Quantitative data, including demographic information and descriptive statistics of the psychometric measures, will be tabulated from the student surveys by using SPSS (IBM Corp). Quantitative data will provide descriptive and inferential details regarding mental health trends and identify important resources for students and areas of needs regarding mental health support and service utilization. In addition, these mental health resources, including use of institutional programs and trusted advisors/consultants, will be collected, analyzed, and visualized with social network analysis methods using EgoNet (University of Florida). Qualitative data from focus groups will be transcribed verbatim, and NVivo (QSR International) will be used to aid in data management. We will use both inductive and deductive approaches to analyze the data. We will start with repeated readings of the transcripts to gain a broad understanding of the data. We will then perform line-by-line coding of key themes specific to the ideas articulated by the participants, followed by coding concepts/ideas posed in our research questions and derived from our theoretical understanding [31].

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