Chapter 17 - Qualitative Data Analysis Flashcards
Engagement
Involves the performer of a necessary evil connecting with their emotions and embracing their personal reactions to the situation.
Engagement (prosocial emotion):
Recognizing one’s feelings such as “sympathy, empathy, sadness, or guilt” (p. 854). Prosocial does not mean the emotion felt was positive.
Engagement (attunement to target’s experience):
Recognizing the target’s experience – the human toll or negative impact of the necessary evil on the person(s) receiving it. Being sensitive to the target’s expressions and other cues about their experience.
Engagement (embracing own humanity):
The performer of a necessary evil recognizes that they are a human, not a robot, providing a (difficult) service. They retain a connection with their own humanity.
Disengagement
Refers to psychological distancing or detachment from the necessary evil or its target.
Disengagement (detachment from emotion):
Performer of a necessary evil denies experiencing prosocial emotions, or reports having made active attempts to suppress such emotions.
Disengagement (dissociating from target’s experience):
Downplaying the target of the necessary evil as a human being, either actively or through desensitization over time (e.g., fail to notice a child screaming in an emergency room because it happens so often). Did not or only minimally considers the target’s experience and the impact of the necessary evil on them.
What is Qualitative Research?
A variety of research techniques focused on
systematic consideration of observations, visual
images, spoken words, or texts wherein numbers
(quantification) and statistical procedures play no
role, or a minimal role.
– Somewhat broader than the text definition
– Our text emphasizes a pro-management paradigm
and includes greater quantification than some
qualitative approaches would accept
Qualitative data is
data in the form of words
Grounded Theory
a systematic set of procedures to develop an
inductively derived theory from the data
Key techniques of grounded theory
- Constant comparison
- Theoretical sampling
Suddaby’s (2006) description of what GT is not
includes
- NOT an excuse to ignore the literature (not blank slate)
- NOT theory testing, content analysis, or word counts
– E.g., Don’t use one or two theories to code data and call the
research “grounded theory”
Indicators of Good Research
- Subjectivities have been managed
- Methods are approached with consistency
- The “true essence” has been captured
- Findings are applicable beyond the immediate context
- The research can be verified
Qualitative data
Data that are not immediately quantifiable unless they are coded
and categorized in some way.
Data reduction
Breaking down data into manageable pieces.
Data display
Taking the reduced qualitative data and displaying them in an
organized, condensed manner.
Data coding
In quantitative research data coding involves assigning a number
to the participants’ responses so they can be entered into a
database.
Coding
The analytic process through which the qualitative data that you
have gathered are reduced, rearranged, and integrated to form
theory (compare Data coding).
Unit of analysis
The level of aggregation of the data collected during data analysis,
Categorization
The process of organizing, arranging, and classifying coding units
(in qualitative data analysis).
Grounded theory
A systematic set of procedures to develop an inductively derived
theory from the data.
Categorization
The process of organizing, arranging, and classifying coding units
(in qualitative data analysis).
Category (in qualitative data analysis)
A group of coding units that share some commonality.
Data display
Taking the reduced qualitative data and displaying them in an
organized, condensed manner.
Category reliability
The extent to which judges are able to use category definitions to
classify qualitative data.
Interjudge reliability
The degree of consistency between coders processing the same
(qualitative) data.
Content analysis
An observational research method that is used to systematically
evaluate the symbolic contents of all forms of recorded
communication.
Conceptual analysis
Establishes the existence and frequency of concepts (such as
words, themes, or characters) in a text.
Relational analysis
Builds on conceptual analysis by examining the relationships
among concepts in a text.
Narrative analysis
A qualitative approach that aims to elicit and scrutinize the
stories we tell about ourselves and their implications for our lives.
Big data
Term commonly used to describe the exponential growth and
availability of data from digital sources inside and outside the
organization.
