Text Ch.13 Flashcards

1
Q

Quantitiative Process Vs Qualitative

A

Quantitiative:
1.Define Measure:Questions with response
options
-Convert text into numbers (ex: 1=career interest)
2.Collect Data:Individual scores on each
variable (preset codes)
3.Conduct Numerical Analysis: Statistics

Qualitative: 
1.Collect Data:Open ended questions and
responses
2.Code Themes:Identify portions of data
with primary idea
3.Conduct Thematic Analysis: Identify patterns within data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

variables operationalized before research=Quantitiative/Qualitative?

A

Quantitative

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

themes appear during/after research=Quantitiative/Qualitative?

A

Qual

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Define theme in terms of Qualitative research

A

“A theme captures something important about the
data in relation to the research question, and
represents some level of patterned response or
meaning with the data set” -Braun, Virginia and
Victoria Clarke (2005, 82).
– Not about counting the number of times
something appears
– Not about summarizing responses to each
interview question
– Requires flexibility in analysis (no rigid rules)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Coding

A

Coding:
.selective coding is a second layer in order to better focus in on what this research is about
-cuts down themes to what is important

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

2 types of themes

A
Semantic themes
(i.e., what people
say)
– Latent themes
(i.e., underlying
ideas and
assumptions …
more interpretive)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

How to determine themes? 2 ways

A

Thematic analysis is one of the most common forms of analysis in qualitative research. It emphasizes pinpointing, examining, and recording patterns (or “themes”) within data.

  1. Inductive thematic analysis (i.e., with no “lens”)
  2. Theoretical thematic analysis (i.e., with a “lens”)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

ATLAS.ti and Nvivo examplesof

A

Coding: manual;
software (e.g., ATLAS.ti,
Nvivo)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Optical character

recognition (OCR) example of

A
• Transcription: manual;
Optical character
recognition (OCR)
scanners; voice
recognition software
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Qualitative Data Coding Process: 3 Parts

A
Open coding (‘themeing’):
Read in search of general patterns Record in form of memo
Axial coding (‘tagging’):
Mine for specific instances of each theme Record tags by highlighting specific passages
Selective coding (‘intra-coder testing’):
Review texts for accuracy in tagging Record any discrepant evidence
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Step 1: Open Coding(theming)

A
• Initial review of raw data
• Search for major themes
• Also known as
memoing or
themeing
• After open coding stage: pause for reflection. 
What do these themes mean, and how do they relate
to each other?
– Revisit literature
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Stage 2: Axial Coding

A
• tagging: applying
labels to chunks of
data
• Label according to key
themes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Codes/Label

A

• Generate initial codes
– A code is a feature of the data, something
interesting, a single element of the raw data
– Codes can be based on your original research
questions/objectives or can be something you did
not initially expect
– A single segment of data can be uncoded,
assigned a single code, or assigned more than one
code

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Stage 3: Selective Coding

A

• Re-examine raw data; ensure data really fit
themes identified
• Add/delete tags as necessary
Throughout this three stage process, the
researcher remains open to revising or refining any of these categories, collapsing some under broader
headings, or adding or deleting any as necessary.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Thematic analysiis is NOT about _______ of themes

A

frequency

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

CAQDAS

A

computer assisted qualitative data analysis software

17
Q

tagging

A

the process of labelling specific passages as belonging under a given theme

18
Q

chunks/bits

A

passages of text that serve as indicators of a given theme