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WorksheetsDES 230 - Coding Data and CAQDAS
Total questions: 44
Worksheet time: 22mins
Name
Class
Date
1.
What does it mean to clean your data?
a)
They happen in relation to other activities or events
b)
To prepare it for analysis.
c)
Coding for patterns in the data (Gender, Age)
d)
They happen the same way
2.
What are the three things in the process of cleaning your data?
a)
To prepare it for analysis.
b)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
c)
Summarizes primary topic of the excerpt
d)
Organizing your data, Curating your data, and Anonymizing your data
3.
What do you mean by "organize your data"?
a)
What did participants point out that you didn't expect? What commonalities exist in the data set?
b)
Is everything where it should be? Anything need Classification? Anything hard to read or incomplete? Anything need to be transcribed? Any observations that should be annotations?
c)
Highlighters and sticky notes
d)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
4.
What do you mean by "curating your data"?
a)
Almost always best practice to anonymize your data.
b)
What themes can be drawn from the research question? What points were you looking to capture?
c)
Any notes that are incomplete or incorrect? Any notes that aren't appropriate for the final report?
d)
Coding is the process of identifying patterns and themed in a qualitative data set.
5.
What are the dangers of the "curating the data" stage?
a)
They happen in predictably different ways
b)
Helps take some of the heavy lifting of coding off your shoulders
c)
Bias!
d)
Organizing your data, Curating your data, and Anonymizing your data
6.
Why is bias dangerous?
a)
What you think is unimportant is a judgement call, and be reflective of your implicit bias.
b)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
c)
It allows you to recognize context and subjectivity while conducting research in a systematic manner
d)
If you know the product well or are involved in the design, you can offer suggestions; otherwise, just identity patterns and issues.
7.
What do you mean by "Anonymizing your data"?
a)
In-Vivo coding
b)
Do not share raw data!
c)
Organize your appendix by code, mirroring your analysis, and including only the coded segments.
d)
Removing all existing identifiable references and replace them with something general.
8.
What is a Key?
a)
They happen the same way
b)
Coding is the process of identifying patterns and themed in a qualitative data set.
c)
Used to keep track of who is who in anonymized data.
d)
Because you're linking data together, not just labeling data.
9.
What is it best practice to do with data?
a)
Almost always best practice to anonymize your data.
b)
Coding that uses participants' own language
c)
Summarizes primary topic of the excerpt
d)
They happen in a certain order
10.
What do you mean when you "Code" Data?
a)
Coding that uses participants' own language
b)
When you apply multiple codes to the same text.
c)
One appears to cause another
d)
Coding is the process of identifying patterns and themed in a qualitative data set.
11.
What does coding data do?
a)
The way you organize your codes.
b)
Prepares the data for analysis while also being part of the process of analysis itself.
c)
Organizing your data, Curating your data, and Anonymizing your data
d)
They get very upset
12.
What are the 3 major types of codes?
a)
The way you organize your codes.
b)
Organize your appendix by code, mirroring your analysis, and including only the coded segments.
c)
To prepare it for analysis.
d)
Pre-set codes/Deductive codes, Emergent codes/Inductive codes, and Subordinate codes
13.
What are Deductive codes?
a)
Pre-set codes are identified before looking at the data.
b)
Do not share raw data!
c)
Computer Assisted Qualitative Data Analysis Software
d)
Not all of the data needs to have a code, and more than one code can apply to a piece of a data.
14.
What are stakeholders looking for in UX research for Deductive/Pre-set codes?
a)
Computer Assisted Qualitative Data Analysis Software
b)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
c)
What themes can be drawn from the research question? What points were you looking to capture?
d)
They get very upset
15.
What are Emergent Codes?
a)
What you think is unimportant is a judgement call, and be reflective of your implicit bias.
b)
What themes can be drawn from the research question? What points were you looking to capture?
c)
One appears to cause another
d)
Inductive Codes arise from looking at the data itself.
16.
What are stakeholders looking for in UX research for Inductive/Emergent codes?
a)
Include it in the appendix
b)
Is everything where it should be? Anything need Classification? Anything hard to read or incomplete? Anything need to be transcribed? Any observations that should be annotations?
c)
Not all of the data needs to have a code, and more than one code can apply to a piece of a data.
d)
What did participants point out that you didn't expect? What commonalities exist in the data set?
17.
What are subordinate codes?
a)
Patterns and context
b)
It allows you to recognize context and subjectivity while conducting research in a systematic manner
c)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
d)
They happen in relation to other activities or events
18.
Why is coding cyclical?
a)
Because you're linking data together, not just labeling data.
b)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
c)
Do not share raw data!
d)
What you think is unimportant is a judgement call, and be reflective of your implicit bias.
19.
What is descriptive coding?
a)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
b)
Summarizes primary topic of the excerpt
c)
What themes can be drawn from the research question? What points were you looking to capture?
d)
Computer Assisted Qualitative Data Analysis Software
20.
What is process coding?
a)
Computer Assisted Qualitative Data Analysis Software
b)
If you know the product well or are involved in the design, you can offer suggestions; otherwise, just identity patterns and issues.
c)
Word or phrase that captures action
d)
Organize your appendix by code, mirroring your analysis, and including only the coded segments.
21.
What is Pattern coding?
a)
Organizing your data, Curating your data, and Anonymizing your data
b)
Coding for patterns in the data (Gender, Age)
c)
Removing all existing identifiable references and replace them with something general.
d)
Any notes that are incomplete or incorrect? Any notes that aren't appropriate for the final report?
22.
What is In-Vivo coding?
a)
Summarizes primary topic of the excerpt
b)
Include it in the appendix
c)
Coding that uses participants' own language
d)
To prepare it for analysis.
23.
What code only happens in emergent coding?
a)
Used to keep track of who is who in anonymized data.
b)
Removing all existing identifiable references and replace them with something general.
c)
In-Vivo coding
d)
Prepares the data for analysis while also being part of the process of analysis itself.
24.
What is simultaneous coding?
a)
Computer Assisted Qualitative Data Analysis Software
b)
Removing all existing identifiable references and replace them with something general.
c)
When you apply multiple codes to the same text.
d)
To prepare it for analysis.
25.
What is important about the various types of coding in general?
a)
The way you organize your codes.
b)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
c)
One appears to cause another
d)
Not all of the data needs to have a code, and more than one code can apply to a piece of a data.
26.
What does Similarity mean in pattern coding?
a)
Bias!
b)
Any notes that are incomplete or incorrect? Any notes that aren't appropriate for the final report?
c)
Do not share raw data!
d)
They happen the same way
27.
What does Difference mean in pattern coding?
a)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
b)
Organize your appendix by code, mirroring your analysis, and including only the coded segments.
c)
They happen in predictably different ways
d)
To prepare it for analysis.
28.
What does Frequency mean in pattern coding?
a)
When you apply multiple codes to the same text.
b)
They happen often or rarely
c)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
d)
Summarizes primary topic of the excerpt
29.
What does Sequence mean in pattern coding?
a)
They happen in a certain order
b)
Pre-set codes are identified before looking at the data.
c)
They happen often or rarely
d)
Include it in the appendix
30.
What does Correspondence mean in pattern coding?
a)
They happen in relation to other activities or events
b)
Organize your appendix by code, mirroring your analysis, and including only the coded segments.
c)
Give an accurate analysis. You know the data better than anyone else, don't give just raw data.
d)
Is everything where it should be? Anything need Classification? Anything hard to read or incomplete? Anything need to be transcribed? Any observations that should be annotations?
31.
What does Causation mean in pattern coding?
a)
One appears to cause another
b)
The way you organize your codes.
c)
They get very upset
d)
Computer Assisted Qualitative Data Analysis Software
32.
How was early manual coding done?
a)
Pre-set codes/Deductive codes, Emergent codes/Inductive codes, and Subordinate codes
b)
They happen the same way
c)
Highlighters and sticky notes
d)
Removing all existing identifiable references and replace them with something general.
33.
What does CAQDAS stand for?
a)
The way you organize your codes.
b)
Any notes that are incomplete or incorrect? Any notes that aren't appropriate for the final report?
c)
Word or phrase that captures action
d)
Computer Assisted Qualitative Data Analysis Software
34.
What does Computer Assisted Qualitative Data Analysis Software do?
a)
Almost always best practice to anonymize your data.
b)
Coding is the process of identifying patterns and themed in a qualitative data set.
c)
Helps take some of the heavy lifting of coding off your shoulders
d)
They happen often or rarely
35.
What is critical in data?
a)
They happen often or rarely
b)
Prepares the data for analysis while also being part of the process of analysis itself.
c)
Coding for patterns in the data (Gender, Age)
d)
Patterns and context
36.
What is the primary value of qualitative research?
a)
Highlighters and sticky notes
b)
Include it in the appendix
c)
It allows you to recognize context and subjectivity while conducting research in a systematic manner
d)
Prepares the data for analysis while also being part of the process of analysis itself.
37.
What mirrors your organized report?
a)
Summarizes primary topic of the excerpt
b)
They happen in relation to other activities or events
c)
The way you organize your codes.
d)
Do not share raw data!
38.
What happens to stakeholders when UR researchers give suggestions?
a)
It allows you to recognize context and subjectivity while conducting research in a systematic manner
b)
They get very upset
c)
They happen in predictably different ways
d)
The way you organize your codes.
39.
What is concerned a judgement call for suggestions?
a)
Any notes that are incomplete or incorrect? Any notes that aren't appropriate for the final report?
b)
If you know the product well or are involved in the design, you can offer suggestions; otherwise, just identity patterns and issues.
c)
They get very upset
d)
Organizing your data, Curating your data, and Anonymizing your data
40.
What should you as a researcher always be doing to stakeholders?
a)
Give an accurate analysis. You know the data better than anyone else, don't give just raw data.
b)
Coding is the process of identifying patterns and themed in a qualitative data set.
c)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
d)
When you apply multiple codes to the same text.
41.
What do you do if stakeholders want to see the data?
a)
Some codes are sub-categories of other codes. Can help with data organization on different levels.
b)
Include it in the appendix
c)
Summarizes primary topic of the excerpt
d)
Give an accurate analysis. You know the data better than anyone else, don't give just raw data.
42.
What is the general rule about data sharing?
a)
Because you're linking data together, not just labeling data.
b)
Do not share raw data!
c)
Give an accurate analysis. You know the data better than anyone else, don't give just raw data.
d)
Is everything where it should be? Anything need Classification? Anything hard to read or incomplete? Anything need to be transcribed? Any observations that should be annotations?
43.
Why can't you share raw data?
a)
Computer Assisted Qualitative Data Analysis Software
b)
They happen in relation to other activities or events
c)
Do not share raw data!
d)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
44.
What is the golden rules for showing your data?
a)
Computer Assisted Qualitative Data Analysis Software
b)
Organize your appendix by code, mirroring your analysis, and including only the coded segments.
c)
You have an ethical and professional obligation to ensure your data is cleaned before it is shared.
d)
Any notes that are incomplete or incorrect? Any notes that aren't appropriate for the final report?
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