Uploaded on Sep 2, 2021
To make a sense of data is cumbersome, especially when the information it contains is overwhelming. However, patterns derived out of data can help build personas, and design decisions. Proper analysis of interviews is important for the validation of results. The major setback on analyzes could be overlooking information. A proper analysis will ensure that you go through your data in a systematic and thorough manner. A proper analysis is definitely time-consuming if the purpose is broad and explorative. But if given a limited time, the scope is narrowed down. Learn More:https://bit.ly/3BwBCwc Contact Us: Website: https://www.phdassistance.com/ UK: +44 7537144372 India No:+91-9176966446 Email: [email protected]
Thematic Analysis of Qualitative Data: Identifying Pattern That Solve Many Unresolved Industrial Questions / Challenges - Phdassistance
Thematic Analysis of
Qualitative Data:
Identifying Pattern that
Solve Many Unresolved
Industrial Questions /
Challenges
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Phdassistance
Group www.phdassistance.com
Email: [email protected]
Today's Discussion
OUTLINE Introduction
Familiarizing with the data
Assigning preliminary code
Searching for themes.
Reviewing Themes
Defining and naming themes
Producing the report
INTRODUCTION
To make a sense of data is cumbersome,
especially when the information it contains is
overwhelming.
However, patterns derived out of data can help
build personas, and design decisions.
Proper analyzes of interviews is important for
the validation of results.
The major setback on analyzes could be
overlooking information.
Contd...
A proper analysis will ensure that you go through your data in a
systematic and thorough manner.
A proper analysis is definitely time- consuming if the purpose is broad
and explorative.
But if given a limited time, the scope is narrowed down.
The method chosen to do qualitative data analysis primarily depends
on the actual purpose of study.
A thematic analysis identifies patterned responses or
meaning derived from the interview data that informs critical research
question.
Thematic analysis is flexible enough to be used both for
explorative studies with no clear idea of what patterns to look for
or for deductive studies with clear cut ideas of what to look for.
Different research fields use thematic analysis, but the steps are
always the same .
The most important thing in thematic analysis is to represent
the interview as honestly as possible.
This will make it easier for people to trust the validity of results.
Thematic analysis describes a process of converting a messy
data to a chart of the most important themes found in the data.
Contd...
Themes can be as either semantic (also labeled as manifest), which
address explicit surface meanings of data items or latent, which
reflects deeper, more underlying meanings, assumptions, ideologies.
Themes, and their subdivisions including subcategories and
subthemes are the outcome of qualitative data analyses.
The process contains the following important six steps: Familiarizing
with the data, assigning preliminary codes to data to describe the
content, searching for patterns or themes across the interviews,
reviewing themes, defining and categorizing themes, and producing
your report.
FIGURE 1. THEMATIC ANALYSES SUMMARY
FAMILIARIZING WITH THE DATA
To familiarize with the data, audio recordings have to be
transcribed.
Taking notes, and marking preliminary ideas help becoming
familiar with the data through ‘repeated reading’ of the data
and reading the data in an active way -searching for subjective
meanings, cultural-contextual message of data, patterns and
so on.
It is good idea to start taking notes or marking ideas for coding.
In some cases, when the interview is a minor part,
summarizing specific themes can be sufficient.
ASSIGNING PRELIMINARY CODE
A code organizes data into significant groups.
Coding depends on whether an exploratory analysis or a
deductive analysis is performed.
It is the most essential thing to match the code to the
section of the interview that it refers to.
You can code with common points where similar pieces
of data can be tied together and within which the
researcher may answer the question “Why”? Next step is
to organize all the sections that fit into each code.
PHYSICIAN FEELINGS TOWARD PATIENTS
‘So, I think there’s a couple of families that I’ve taken
ownership on, and part of it is, I think – like, I just like them
so much.
They’re such nice people.
Not that like, I don’t take ownership of the patient families that
aren’t nice, but the ones that I like, truly felt like.
CODING MANUAL EXAMPLES
Physician feelings toward patients: the feelings, either positive
or negative, that a physician has toward his or her patients
Intrinsic sense of responsibility: ‘Not that like, I don’t take
ownership of the patient families that aren’t nice, but the
ones that I like, truly felt like,
CODING MANUAL EXAMPLES
Intrinsic sense of responsibility: the sense of responsibility that
a physician feels toward his/her patient, as opposed to the
requirements imposed upon them by attending physicians,
systems, or clinic-wide expectations or policies.
SEARCHING FOR THEMES
A look at the list of codes and their associated extracts
lead to broader themes that say something interesting
about the data.
Codes that seem redundant may be placed in a
temporary mixed.
REVIEWING THEMES
Reading through the extracts relating to the codes, one can
cross check whether the themes support, contradict or overlap.
If the theme is too broad, it can be split into separate themes or
moved to some existing theme where they fit better.
Subthemes can be created to prevent your theme
from becoming incoherent.
DEFINING AND NAMING
THEMES
Theme names need to be descriptive and engaging.
If the themes are too diverse, they can be reworked.
PRODUCING THE
REPORT
Report should have enough information for the reader to
evaluate.
Using quotes of what the participants said needs to be done
only with the participant’s consent.
There is no consensus on which concepts should be used
regarding validity in qualitative and phenomenological
research.
However, scientific rigor and phenomenological validity is
discussed in relation to reflexivity, credibility and transferability.
Contd...
Reflexivity connects to previously described
methodological principles of a reflective attitude and
questioning one's pre‐understanding.
Credibility refers to the meaningfulness of the findings
and whether these are well presented.
Transferability refers to the usefulness and relevance of
the findings.
Thematic analysis is thus a process that offers insights into different
areas, and makes interviews meaningful and effective.
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