Lecture 6 Flashcards
What are some ethical considerations for data analysis?
- ethical issues related to participant protection from harm and disclosure of comprehensive findings
-> for protection: researchers must mask the participant names
-> engage participants in data analysis => foster collaboration in how data is interpreted
What is the data analysis spiral?
= spiral demonstrating the different phases of data collection
-> ! process of moving in analytical circles ipv using a fixed linear approach
-> adressess critique often given to qualitative research of being not explicit (/learning by doing) -> qualitative research = often seen as largely intiuitve, soft, relativistic
(1) data collection
(2) managing and organizing the data
(3) reading and memoing emergent ideas
(4) describing and classifying codes into themes
(5) developing and assessing interpretations
(6) representing and visualizing the data
(7) account finding
Define managing and organizing the data. (phase in data analysis spiral)
Strategies:
* preparing files and units
* ensuring ongoing secure storage of files
* selecting mode of analysis
- file naming system and organizing database of files and units of text, images, and recordings
- creation of a long-term file storage plan
- use of software, by hand or hybrid
Define reading and memoing emergent ideas. (phase in data analysis spiral)
Strategies
* taking notes while reading
* Sketching reflective thinking
* summarizing field notes
Outcome
* written memos leading to code development, reflections over time, and/or summaries across files or questions or project
Provide some recommendations that guide the memoing practice?
- prioritize memoing throughout the analysis process
- individualize a system for memo organization
> 3 levels
1) segment codes:
2) document memos
3) project memos - embed sorting strategies for memo retrieval
Why is memoing important?
- helps track development of ideas throuh the process + lends credibility to the qualitative data analysis process and outcomes
Define segment memos
capture ideas from reading particular phrases in the data
Define document memos
capture concepts developed from reviewing an individual file or as a way of documenting evolving ideas from the review across multiple files
Define project memos.
capture integration of ideas across one concept or as a way of documenting how multiple concepts might fit together across the project
Define describing and classifying codes into themes. (phase in data analysis spiral)
Strategies
* Working with codes
* identifying codes
* applying codes
* reducing codes to themes
-> interpretation in light of own views of perspectives in literature
-> winnowing
-> lean coding
-> final code list: 25-30 categories + 5-6 themes
-> code book
Outcomes
* naming of initial codes
* list of code categories and descriptions
* assign the codes to units of text, images and recordings
* finalized codebook
Define winnowing.
= aggregating the text or visual data into small categories of information, seeking evidence for the code from different databases being used in a study, and then assigning a label to the code.”
What is lean coding?
= starting with a short list of codes + only expanding the list of initial codes if necessary
What is a code book?
= a list of codes and descriptions
-> contains:
* name of code
* Description of code defining boundaries
* example of code using study data
! important for inter-rater reliability !
What are some issues that need to be addressed in the coding process?
- whether qualitative researchers should count codes
-> might resemble a quantitative approach - whether to use preexisting or a priori codes?
-> preference for open coding but possible if researchers allow emergent additional codes - the origin of the code names or labels
-> in vivo codes, codes from social/health sciences/names by researcher/… - types of info a qualitative researcher codes
-> depending on the approach
1) narrative: stories, phenomenology: indv experiences and the context, grounded theory: interactions, actions, processes, …
2) deconstructive stance: issues of desire and power -> attending to disruptions, silence, dismantling dichotomy, …
What are some strategies for exploring and developing themes?
- using memoing to capture emerging thematic ideas
- highlight noteworthy codes as you code
- create diagrams representing relationships among codes or emerging concepts
- draft summary statements reflective of recurring or striking aspects of the data
- integral role of coding in development of themes
Define developing and assessing interpretations (phase in data analysis spiral)
= making sense of data, ‘lessons learned’ -> require both creative and critical faculties in making judgments about what is meaninful in themes, patterns, …
-> postmodernist/interpretive: interpretations = questioning/inconclusive/tentative
Strategies
* relating categories/themes/families
* relating categories/themes/families to analytical framework in literature
Outcome
* contextual understanding and diagrams
* theories and propositions
Define representing and visualizing the data. (phase in data analysis spiral)
Strategies
* creating a point of view
* displaying and reporting the data
Outcome
* matrix, trees and models
* account of the findings
Provide some strategies for the display of data.
- search data and select level and type of data to be displayed.
-> forms and types of data eg. direct quotes, or paraphrases, … - sketch and seek feedback on intial formatting ideas
-> select labels for row and column headings
-> ask colleagues to review your initial sketches and provide feedback about suggestions for alternative ways of displaying data - assess completeness and readability
-> look for ambiguous or missing data - note patterns and possible comparisons and clusters in the display
> + accompanying displays with text - revisit the accompanying text and verify conclusions
-> check that text goes beyond a descriptive summary of data + offers explanations and conclusions
Examine the data analysis and representation of narrative study?
*managing and organizing the data:
create and organize data files
- reading and memoing emergent ideas:
read through text, make margin notes and form initial codes - describing and classifying codes into themes: describe patterns across the objective set of experiences
- developing and assessing interpretations:
Locate epiphanies within stories.
Identify contextual materials. - representing and visualizing the data:
Restory and interpret the larger meaning of the story.
What is narrative research analysis and representation?
Narrative analysis
‘family of methods for interpreting texts that have in common a storied form’
-> different approaches:
* literary orientation
1) analyzing text for five elements of plot structure (characters, setting, problem, actions, and resolutions)
2) three-dimensional space approach -> interaction, continuity (past, present), and future) + situation (physical places or storyteller’s places)
- chronological approach
-> steps?
1 biographical analysis by identifying an objective set of experiences in subject’s life
2 look for life-course stages or experiences to develop chronology of individual’s life + look for concrete, contextual biographical materials
3 organizing patterns and meaning
-> 4 types of patterns of meaningmaking related to similarities, differences, change or coherence
4 individual’s biography is reconstructed + researcher identifies factors that have shaped the life
=> analytical abstraction of the case - turning to how narrative report is composed
-> 4 analytical strategies
1) thematic analysis: ‘what’ is spoken/written
2) structural: ‘how’ story is told
3) dialogic/performance analysis: talk = interactively produced by researcher and participant
4) use of visual analysis of images or interpreting images alongside words
Examine phenomenological analysis and representation.
- managing and organising the data
Create and organize data files. - reading and memoing emergent ideas
Read through text, make margin notes, and form initial codes. - describing and classifying codes into themes
Describe personal experiences through epoche.
Describe the essence of the phenomenon. - developing and assessing interpretations
Develop significant statements.
Group statements into meaning units. - representing and visualizing the data
Develop a textural description —“what happened.”
Develop a structural description —“how the phenomenon was experienced.”
Develop the “essence,” using a composite description.
What is a phenomenological analysis and representation?
- approach by Creswell & Poth
1. describe personal experiences with the phenomenon under study -> attempt to set aside researchers personal experience
2. develop a list of significant statements
3. group the significant statements into broader units of information (= meaning units or themes)
4. textural description: create a description of what the participant experienced
5. structural description: description of how the experience happened
6. write a composite description of the phenomenon -> combination of textural and structural descriptions “the essence”
*less structured approach
-> 2 conditions:
- critical phenomenological question
- good experiental quality of the data
-> emphasis on gaining understanding of thmes by aksing “What is this example an example of?”
-> 4 guides for reflection: space felt by indvs, physical or bodily presence (what does person in love look like?), time, relationships with others
Examine grounded theory analysis and representation.
- managing and organising the data
Create and organize data files. - reading and memoing emergent ideas
Read through text, make margin notes, and form initial codes. - describing and classifying codes into themes
Describe open coding categories.
Select one open coding category to build toward central phenomenon in process. - developing and assessing interpretations
Engage in axial coding —causal condition, context, intervening conditions, strategies, and consequences.
Develop the theory. - representing and visualizing the data
Engage in selective coding and interrelate the categories to develop a “story” or propositions or matrix.
What is grounded theory analysis and representation?
-> 3 phases: open, axial and selective (Strauss & corbin)
- open coding:
- examining text for categories of info
- reducing database to small set of themes or categories
- Axial coding
- selective coding
- coding paradigm
= theoretical model -> info from coding in a figure - conditional matrix
= analytical aid/diagram to visualize the wide range of conditions and consequences - -> Charmaz: different approach
- emerging process of forming the theory
1. initial phase of coding each word/line/segment of data
2. focused coding -> analyzing for syntheses and larger explanations
3. examine categories + developing links
-> theoretical coding: a priori theory
-> Different presentations of theory: hypothesis, theoretical framework, …