Chapter 17 - Qualitative Data Analysis

Question 1

Engagement

Answer 1

Involves the performer of a necessary evil connecting with their emotions and embracing their personal reactions to the situation.

Question 2

Engagement (prosocial emotion):

Answer 2

Recognizing one’s feelings such as “sympathy, empathy, sadness, or guilt” (p. 854). Prosocial does not mean the emotion felt was positive.

Question 3

Engagement (attunement to target’s experience):

Answer 3

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.

Question 4

Engagement (embracing own humanity):

Answer 4

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.

Question 5

Disengagement

Answer 5

Refers to psychological distancing or detachment from the necessary evil or its target.

Question 6

Disengagement (detachment from emotion):

Answer 6

Performer of a necessary evil denies experiencing prosocial emotions, or reports having made active attempts to suppress such emotions.

Question 7

Disengagement (dissociating from target’s experience):

Answer 7

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.

Question 8

What is Qualitative Research?

Answer 8

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

Question 9

Qualitative data is

Answer 9

data in the form of words

Question 10

Grounded Theory

Answer 10

a systematic set of procedures to develop an
inductively derived theory from the data

Question 11

Key techniques of grounded theory

Answer 11

• Constant comparison
• Theoretical sampling

Question 12

Suddaby’s (2006) description of what GT is not
includes

Answer 12

• 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”

Question 13

Indicators of Good Research

Answer 13

• 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

Question 14

Qualitative data

Answer 14

Data that are not immediately quantifiable unless they are coded
and categorized in some way.

Question 15

Data reduction

Answer 15

Breaking down data into manageable pieces.

Question 16

Data display

Answer 16

Taking the reduced qualitative data and displaying them in an
organized, condensed manner.

Question 17

Data coding

Answer 17

In quantitative research data coding involves assigning a number
to the participants’ responses so they can be entered into a
database.

Question 18

Coding

Answer 18

The analytic process through which the qualitative data that you
have gathered are reduced, rearranged, and integrated to form
theory (compare Data coding).

Question 19

Unit of analysis

Answer 19

The level of aggregation of the data collected during data analysis,

Question 20

Categorization

Answer 20

The process of organizing, arranging, and classifying coding units
(in qualitative data analysis).

Question 21

Grounded theory

Answer 21

A systematic set of procedures to develop an inductively derived
theory from the data.

Question 22

Categorization

Answer 22

The process of organizing, arranging, and classifying coding units
(in qualitative data analysis).

Question 23

Category (in qualitative data analysis)

Answer 23

A group of coding units that share some commonality.

Question 24

Data display

Answer 24

Taking the reduced qualitative data and displaying them in an
organized, condensed manner.

Question 25

Category reliability

Answer 25

The extent to which judges are able to use category definitions to
classify qualitative data.

Question 26

Interjudge reliability

Answer 26

The degree of consistency between coders processing the same
(qualitative) data.

Question 27

Content analysis

Answer 27

An observational research method that is used to systematically
evaluate the symbolic contents of all forms of recorded
communication.

Question 28

Conceptual analysis

Answer 28

Establishes the existence and frequency of concepts (such as
words, themes, or characters) in a text.

Question 29

Relational analysis

Answer 29

Builds on conceptual analysis by examining the relationships
among concepts in a text.

Question 30

Narrative analysis

Answer 30

A qualitative approach that aims to elicit and scrutinize the
stories we tell about ourselves and their implications for our lives.

Question 31

Big data

Answer 31

Term commonly used to describe the exponential growth and
availability of data from digital sources inside and outside the
organization.