I am working with NVivo 10 on Windows to examine policies in archival government texts. I am interested in
determining and quantifying the focus of the policies. The texts are scanned pdfs (n=40) and each pdf may
contain as few as 8 policies to over 110 policies. In addition, the coding has been largely executed by region.
For my analysis, using 7 Parent nodes and over100 child nodes, I analyze each policy for the presence of any
of the children.
At this point, I need to employ a second User in order to obtain an inter-rater statistic. In my social science field,
Percent Agreement is not frowned on and researchers are moving away from Cohen's alpha. A journal referee
is pointing to Krippendorff's alpha.
Because books are the units of analysis, the ideal solution would be a matrix query with the books as rows,
the users as columns, filter the results by child nodes, then export into excel for the Kripp analysis. Having both
users in the same project would allow for reconciliation of coding disagreements.
Is this possible as I understand the NVivo counts all Users in coding frequency? If not, then how should I proceed
with introducing my second User and obtaining a subsequent Kripp analysis.