Sandelowski (1995) distinguished between analysis and
interpretation of data by stating:
In contrast, qualitative interpretation is the knowledge
produced: the end-product of analysis where the researcher
construes or renders the analyzed data in such a way
that something new is created that is different from,
yet faithful to, that data in its original form. (p. 372)
In other words, data analysis is the means to an end, with
the final outcome being a useful piece of research that can
be applied in practice. It is important for researchers to be
mindful of the language used to ensure that the message
is accessible and usable to a broad range of readers and so that strategies for
the point of care can be implemented (Sandelowski & Leeman, 2012). Thus,
one could say that the interpretation of qualitative data provides evidence for
practice. This is the evidence of words.
Drawing and Verifying Conclusions
As the data are being analyzed, researchers are also drawing some conclusions
that are continually tested and modified, discarded, or verified. So, how does
one figure out what all the data and codes mean? How do researchers know that
codes they have chosen to use are correct? Table 14-1 lists five levels of qualitative
Level of Data Summary
A priori framework Data analyzed according to a preexisting framework; lowest level of
data; provides no new knowledge
Descriptive Researcher develops labels for data categories but does not
explicate relationships among the categories; useful for devising
lists of descriptors on a topic
Developing a synthesis Researcher explains and explores relationships among themes
with logical integration
Increased complexity
and case variance
Researcher explains variations and negative case examples of the
research; a step beyond developing a synthesis
A product that
comprehensively
explains a complex
human phenomenon
The level of research that is considered to be the gold standard;
provides an explanation of a phenomenon with depth and breadth
as to increase others’ understanding and advance the science
Data from Jacelon, C. S., & O’Dell, K. K. (2005). Analyzing qualitative data. Urologic Nursing, 25,
217–220; Kearney, M. (2001). Focus on research methods: Levels and applications of qualitative
research evidence. Research in Nursing and Health, 24, 145–153.
TABLE 14-1 Five Levels of Qualitative Data
FYI
The interpretation of qualitative data should
provide evidence for practice; the results of
the study must be reported with sufficient
rigor and details about the methods used to
establish trustworthiness of the findings so
that readers can have confidence that the
results represent suggestions for best prac-
tice. There are three common approaches to
reporting qualitative data: realist tales, confes-
sionist tales, and impressionist tales.
386 CHAPTER 14 What Do the Qualitative Data Mean?