The ROCK book
I Qualitative Research
1
Qualitative research
2
Qualitative Ethnography?
3
Qualitative methods in psychology
4
Cognitive interviews
4.1
Cognitive validity
4.2
Response models
4.3
Response processes
4.4
Selecting response model parts
4.5
The response process spectrum
4.6
Coding schemes
4.7
Preparing prompts
4.8
Common cognitive interview coding schemes
4.8.1
Existing coding schemes
5
Planning and Conducting Interviews
5.1
Planning
6
Preregistering qualitative research
6.1
Types of registration
6.1.1
Preregistration
6.1.2
Repeated registration
6.2
Common registration form items
6.2.1
Prior expectations and/or initial code structure
7
Reporting Qualitative Research
7.1
Introduction
7.2
Methods
7.2.1
Full Disclosure
7.2.2
Materials
7.2.3
Sampling strategy
7.2.4
Analysis plan
7.3
Results
7.3.1
Participants
7.3.2
Background
7.3.3
Results
7.4
Discussion
7.5
Reporting standards
II The ROCK
8
The ROCK vocabulary
8.1
ROCK terms
8.2
ENA terms
9
The ROCK standard
9.0.1
Sources, utterances, and sections
9.0.2
Codes
9.0.3
Structuring inductive codes
9.0.4
Case instance identifiers
9.0.5
Specifying deductive coding structures
9.0.6
Specifying attributes
9.1
Examples
9.1.1
Section breaks
9.1.2
Identifiers
9.1.3
Codes
10
The
rock
R package
10.1
Downloading and installing R and RStudio
10.2
Downloading and installing the
rock
package
10.3
rock
functions
10.3.1
clean_source
and
clean_sources
10.4
rock
options and defaults
10.4.1
Project-level settings
10.4.2
Options implementing the ROCK standard
11
Recoding with the
rock
R package
11.1
Initial coding versus recoding
11.2
Deleting codes
12
The iROCK interface
12.1
Background
12.2
Using iROCK
III Applying the ROCK
13
A ROCK workflow
13.1
A basic ROCK workflow
13.1.1
A bit of project management
13.1.2
Source collection and preparation
13.1.3
Attribute specification
13.1.4
Coding
13.1.5
Analysing the results
13.1.6
(Re)Coding
13.1.7
Publishing the project
13.2
An extensive ROCK workflow
13.2.1
Planning
13.2.2
Data collection
13.2.3
Source cleaning
13.2.4
Prepending utterance identifiers
13.2.5
Coding and segmentation
13.2.6
Manual coding and segmentation
13.2.7
Inspecting coder consistency
13.2.8
Merging sources
13.2.9
Viewing source fragments by code
13.2.10
Recoding
13.2.11
Generating HTML versions
13.2.12
Exporting the coding spreadsheet
14
A Beginner’s Guide to the Reproducible Open Coding Kit
14.1
Welcome! Step-by-step, no prior knowledge of R needed!
14.2
Setting up the Basics
14.2.1
Install R stuff
14.2.2
Create a Gitlab account and project
14.2.3
Create an R project
14.2.4
Copy the Empty ROCK project and personalize it
14.2.5
Change the basic info in the script
14.2.6
Download the ROCK R Package
14.2.7
Update the ROCK R Package
14.2.8
First “push” to GitLab
14.2.9
Download Notepad++
14.3
Data Preparation
14.3.1
Take a closer look at your directory
14.3.2
Place your raw data into the appropriate directory
14.3.3
Designate your attributes
14.3.4
Designate your persistent IDs
14.3.5
Clean your sources
14.3.6
Add UIDs to your sources
14.4
Coding and Segmentation
14.4.1
Designate your codes and section breaks
14.4.2
Using iROCK to code your sources
14.4.3
Using the
rock
package to autocode your sources
14.4.4
Add identifiers to your sources
14.5
Aggregation and Analyses
15
Using the ROCK for Epistemic Network Analysis
15.1
Starting point
15.2
Planning coding
15.2.1
What is a code?
15.2.2
Types of coding
15.2.3
How to represent codes in the ROCK
15.3
Planning Segmentation
15.3.1
What is discourse segmentation?
15.3.2
Continuous and discontinuous narratives
15.3.3
How to represent segmentation in the ROCK
15.4
Designating Sources and Cases
15.4.1
What is a source and how is it represented in the ROCK?
15.4.2
What is a case and how is it represented in the ROCK?
15.5
Designating Attributes
15.5.1
What is an attribute?
15.5.2
How to record attributes in the ROCK
15.6
Coding and Segmentation
15.6.1
How is coding performed with the ROCK?
15.6.2
Creating code clusters or trees
15.6.3
Preparing sources for coding
15.6.4
Using the iROCK interface
15.7
Merging Coded Sources (if necessary)
15.8
Creating Networks
16
Using the ROCK for Cognitive Interviews
17
Using the ROCK for Decentralized Construct Taxonomies
17.1
The importance of clear coding instructions
17.2
Introduction to Decentralized Construct Taxonomies
17.2.1
Consistency over studies
17.3
Creating a DCT
17.3.1
Thinking about constructs
17.3.2
Description of edge cases
17.3.3
Creating a DCT file
17.4
Coding with DCTs
17.5
Analysing DCT-coded sources
IV Appendices and references
18
References
PDF
EPUB
The ROCK book
Chapter 16
Using the ROCK for Cognitive Interviews
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