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there is an argument that qualitative researchers should return to the terminology of:
the social sciences
an appropriate quality criterion in both qualitative and quantitive studies, but they use different methods to achieve it
validity
Suggested four criteria for enhancing the trustworthiness of a qualitative inquiry:
credibility, dependability, confirmability, and transferability.
Lincoln and Cuba’s key goal:
trustworthiness
credibility
refers to confidence in the truth value of the data and interpretations of them
five criteria
Credibility
Dependability
Confirmability
Transferability
Authenticity
Lincoln and Guba state credibility involves two aspects:
arrying out the study in a way that enhances the believability of the findings
Taking steps to demonstrate credibility to external readers.
Qualitative researchers must strive to:
establish confidence in the truth of the findings.
The dependability question:
Would the study findings be repeated if the inquiry were replicated with the same (or similar) participants in the same (or similar) context?
Credibility cannot be attained in the absence of:
dependability
confirmability
Refers to objectivity
the potential for congruence between two or more independent people about the data’s accuracy, relevance, or meaning.
confirmability is achieved if:
the findings must reflect the participants’ voice and the conditions of the inquiry, and not the researcher’s biases.
transferability
Analogous to generalizability
The extent to which qualitative findings have applicability in other settings or groups
authenticity
Conveys the feeling tone of participants’ lives as they are lived
Sense of the mood, experience, language, and context of those lives
A text has authenticity if:
it invites readers into a vicarious experience of the lives being described and enables readers to develop a heightened sensitivity to the issues being depicted
quantitative research does not have:
analog
Consumers can assess quality-enhancement efforts by:
looking for these and assessing their success in strengthening integrity, validity, and/or trustworthiness.
Prolonged engagement:
investing sufficient time to have in-depth understanding
Persistent observation:
intensive focus on salience of data being gathered
Reflexivity strategies:
attending to researcher’s effect on data
member checking:
providing feedback to participants about emerging interpretations and obtaining their reactions
Controversial— some consider it essential while others do not
triangulation
the use of multiple referents to draw conclusions about what constitutes truth
data triangulation
the use of multiple data sources for the purpose of validating conclusions
Time triangulation
Space triangulation
method triangulation
the use of multiple methods of data collection to study the same phenomenon
negative case analysis
a specific search for cases that appear to discredit earlier hypotheses
peer review and debriefing
sessions with peers designed to get critical feedback
inquiry audit
a formal scrutiny of the data and relevant supporting documents and decisions by an external reviewer
thick and contextualized description
vivid portrayal of study participants, their context, and the phenomenon under study
researcher credibility
enhancing confidence by sharing relevant aspects of the researcher’s experience, credentials, and motivation
Interpretation in qualitative inquiry (making meaning from the data) relies on adequate incubation.
The process of living the data
Similar interpretive issues as in quantitative research
credibility, meaning, importance, transferability, and implications
qualitative data management and organization
Developing a coding scheme
Coding qualitative data
Organizing the data
Manual methods of organization (conceptual files)
Computerized methods of organization using CAQDAS
Descriptive coding
uses mainly nouns as codes and is often used by beginning qualitative researchers; does not provide much insight into meaning
example of descriptive coding
Excerpt: “The other day, we ran out of everything and we had to go to a church and get food.”
Code: food pantry use
Process coding
often involves using gerunds as codes to connote action and observable activity in the data.
example of process coding
Excerpt: “The other day, we ran out of everything and we had to go to a church and get food”
Code: dealing with food shortages
concept coding
involves using a word or phrase to represent symbolically a broad meaning beyond observable facts or behaviors; the codes are usually nouns or gerunds.
in vivo coding
involves using participant-generated words and phrases; it is used as initial coding in many grounded theory studies.
example of concept coding
Excerpt: “The other day, we ran out of everything and we had to go to a church and get food.”
Code: coping with the risk of hunger
example of in vivo coding
Excerpt: “The other day, we ran out of everything and we had to go to a church and get food.”
Codes: ran out of everything; had to go to a church for food
holistic coding
involves using codes to grasp broad ideas in large “chunks” of data rather than coding smaller segments.
example of holistic coding
Excerpt: “I buy on deals. I learned how to, you know, what to buy and what not to buy. Where to shop, where to look for sales. I’ll go to all the stores. And I clip coupons from the paper and stuff. But sometimes that’s not enough. The other day, we ran out of everything and we had to go to a church and get food.”
Code: food management strategies
Once a coding scheme has been developed:
the data are read in their entirety and coded for correspondence to the categories.
Researchers may have to modify the initial coding scheme
New ideas for new codes
Must reread all previously coded material to see if need to apply new code
One paragraph may contain _____ different codes
3 or 4
first step of analytic procedure
identify broad categories
Clusters of codes that are connected conceptually
Ex: “I feel like I failed my patient” and “I let my patient down” can be clustered together to form a category
second step of analytic procedure
identify themes
A theme is “an abstract entity that brings meaning and identity to a current experience and its variant manifestations”
Themes are never universal
How are they patterned?
final analysis stage
researchers weave the thematic pieces into an integrated whole
Provide an overall structure to the data
metaphors as an analytic strategy
A symbolic comparison, using figurative language to evoke a visual analogy
meaning units
the smallest segment of a text that contains a recognizable piece of information
manifest content
what the text actually says
latent content
interpretation of meaning
thematic analysis is:
an accessible and theoretically flexible approach to analyzing qualitative data”
Seen as a foundational method for qual. analysis
Step-by-step guide with six phases
ethnographic analysis
Ethnographers are continually looking for patterns in the behavior and thoughts of participants, comparing one pattern against another
Use of maps, flowcharts, organizational charts, matrices (two-dimensional displays) can help to highlight a comparison graphically and to discover emerging patterns.
4 levels of data analysis- spradley’s method
domain analysis
taxonomic analysis
componential analysis
theme analysis
Three broad schools of phenomenology
Duquesne, Utrecht, Heideggerian
Duquesne School
(descriptive phenomenology)
Utrecht School
(descriptive and interpretive phenomenology)
Heideggerian hermeneutics
(interpretive)
Benner’s hermeneutic analysis
Search for paradigm cases
Thematic analysis
Analysis of exemplars
Substantive codes
Open codes—ends when core category is identified
Level I (in vivo) codes, level II codes, level III codes
One type of core category is a basic social process (BSP).
Selective codes—codes relating to core category only
Theoretical codes
process
stages, phases, passages, transitions
strategy
tactics, techniques, maneuverings
cutting point
boundaries, turning points
the 6 C’s
causes, contexts, conditions, contingencies, consequences, and covariances
3 types of coding
Open coding
Axial coding
Selective coding
Deciding on the central (or core) category
initial coding
Data are studied to learn what participants view as problematic.
focused coding
Identify most significant initial code and then theoretically code.