Analysis
Content analysis methodology guided data
interpretation.36 This approach uses characteristics
and content of language to provide understanding of qualitative data
through systematic classification, coding, and theme identification.36 A team-based, inductive process was conducted,
beginning with data immersion. Two researchers independently reviewed an
initial set of transcripts to inductively identify a set of codes. Codes
were organized both by overall impressions of the tool and by specific
SexFS Brief item. Subsequently, the research team met to review
respective code lists and transcripts, reconciling any discrepancies in
the code definitions and applications. This process continued until a
final codebook was established and the research team had double-coded
20% of transcripts. The remainder of transcripts was coded by a single
member of the research team. Coded transcripts were entered into
ATLAS.ti (Version 8) for data management.
Codes were then clustered into related categories for theme development,
informed by prior Think-Aloud studies.37-39 Coded data
was analyzed within codes, by PROMIS item number, and by gender and age
group (15-19 and 20-24) to identify themes and variation across
subgroups. This was followed by creation of an overall framework of tool
acceptability, usefulness, and validity, again with consideration of
differences by age and gender.