reshape_for_plots

Manually reshapes the data into Long format and adds a refinement group factor.

In semi-structured interviews that use the 'framework' method, it
is not always clear how refinements to interview questions affect the
decision of when to stop interviews. The trend of 'novel' and 'duplicate'
interview codes (novel codes are information that other interviewees have
not previously mentioned) provides insight into the richness of qualitative
information. This package provides tools to visualise when refinements occur
and how that affects the trends of novel and duplicate codes. These
visualisations, when used progressively as new interviews are finished, can
help the researcher to decide on a stopping point for their interviews. For
context, see Wong et al., (2023) <doi:10.1177/16094069231220773>.

Desi Quintans

novelqualcodes

Visualise the Path to a Stopping Point in Qualitative Interviews
Based on Novel Codes

Kam Wong

reshape_for_plots function

<dl><dt>score_df</dt>
<dd>(Dataframe) A scored code matrix as generated by <code>score_codes()</code>.</dd>
<dt>refinements</dt>
<dd>Either a list object generated by <code>import_field_notes()</code>,
or an Integer vector that lists when (in terms of interview sequence)
refinements were made to the interview questions. For example, <code>c(10, 15)</code>
means that interview questions were revised twice: First before the
10th interview, and then again before the 15th interview.</dd></dl>

Arguments

Reshape score matrix for ggplot2. — reshape_for_plots

<dl>

<dt>score_df</dt>
<dd>(Dataframe) A scored code matrix as generated by <code>score_codes()</code>.</dd>


<dt>refinements</dt>
<dd>Either a list object generated by <code>import_field_notes()</code>,
or an Integer vector that lists when (in terms of interview sequence)
refinements were made to the interview questions. For example, <code>c(10, 15)</code>
means that interview questions were revised twice: First before the
10th interview, and then again before the 15th interview.</dd>

</dl>

reshape_for_plots: Reshape score matrix for ggplot2.

Description

Usage

Value

Arguments