LEC 7a Qualitative Research Flashcards
Qualitative Research
-Focus on explaining the reality of the world through the perspective of the participants
-The data are descriptive (words not numbers)
-Data are collected from natural settings (not laboratories)
-The ‘researcher’ is the instrument used to collect the data (not equipment)
-n natural settings, the researcher is actively involved with bthe participants when collecting data
-Results of the study tend to be subjective
-The researchers are concerned with the process, not the outcomes (doesnt matter if A causes B)
data are analyzed inductively (collect first, ask later)
in comparison to quantitative research
Relatively smaller population samples
Context specific
carefully selected sample (aka “purposive sampling”)
may include accessing:
subject matter experts (SME)
group members
witness
conducting qualitative research requires you to undertake the following steps
- define the problem
- identify the theoretical framework
- develop the research question(s)
- choose the most appropriate study design
- select the participants; purposeful
- training and pilot work
- entering the setting
- data collection
- data analyses
- generate a report of the findings
Many theories exist within the realm of qualitative research; however, the key theories include:
phenomenological perspective
symbolic interaction
critical theory
Theoretical Foundations: Phenomenological perspective
-Max Weber: social theorist
—-known as the “principal architect of modern social science” (including the field of sociology)
-attempt to understand life through the eyes of the participant
-the researcher must rid his / her mind of preconceptions about the participant
Theoretical Foundations: Symbolic interaction
-George Herbert Mead: philosopher and social theorist
—-how people create and understand life based on their interactions with others
-gestures (verbal and non-verbal) made by people are considered to be ‘symbols
- people act based on symbolic meanings they find within any given situation
- language is itself a symbolic form, which is used to anchor meanings to the symbols
—-The goal of our interactions with one another is to create shared meaning through symbols
Theoretical Foundations: Critical Theory
-Karl Marx: philosopher, sociologist, historian, economist
—wrote the Communist Manifesto (with Friedrich Engels) and Das Kapital
-theory is oriented towards critiquing and changing society as a whole
-critical theorists study how the construction of knowledge and the organization of power in society generally (and in institutions such as schools, hospitals, and governments specifically) can lead to the subjugation or oppression of particular individuals, groups, or perspectives
-critical theorists are concerned with equity and justice in relation to issues such as race, socioeconomic status, religion, and sexuality seeks to end oppression
Research designs
Case studies
Phenomenology
Grounded theory
Ethnography
Historical analysis
Content and discourse analysis
Research Designs: Case Studies
involves the in-depth study of a person, group, organization situation in order to develop an in-depth understanding of a particular case or phenomena
-used to narrow down a very broad field of research onto one or a few examples of the item of interest
data gathering methods:
Personal interventions
Observations
Direct interaction with participants
May occur over multiple sessions
caution: unsystematic and uncontrolled
benefits: description, evidence
Research designs: Ethnography
–A form of field research that emphasizes providing a very detailed description of a different culture from the viewpoint of an insider in the culture to facilitate understanding it
–Most often used in the field of anthropology
The study of a specific cultural group to get a clear understanding of their
-Belief systems and practices
-Organized set-up
-Lifestyle
The researcher have first-hand experience of the practices within the group
The observer participates with those being observed
participant / researcher observation (i.e., naturalistic observation) provides major part of the data that can lead to subsequent, more highly controlled research (e.g., experiments)
the reports generated from the study are usually very accurate because of the researchers’ immersion into the culture
the results are context specific and cannot be generalized to other groups or populations
Ethnography: data gathering methods:
personal interviews
observations
first-hand testimonies
immersion into culture
done within a specific time frame
Ethnography Inobtrusive observation
observations that are not influenced by the presence of the investigator
Ethnography: Inobtrusive measures
measures taken from the results of behavior not the behavior itself
Ethnography: Potential pitfalls
Findings may not be internally valid because you cannot make casual statements about the results
External validity may also be compromised because results may only be generalizable to a particular environment
Errors in the wat the researcher takes in and processes information may occur
Occur from relations, or lack of relations, with others in the setting being studied
Must be aware that varying perspectives exist within a setting- all must be given equal weight, not just the ones that the researcher gains first or most easily
Not appropriate for large populations, events of long duration, infrequent events
Qualitative Data Analysis (QDA)
During data analysis researcher attempts to merge data into a holistic portrayal of phenomenon
Holistic = big picture
Qualitative Data Analysis (QDA): Data analysis
Content analysis
Narrative analysis
Discourse analysis
Thematic analysis
Grounded theory
IPA
Qualitative Data Analysis (QDA): Content analysis
-The most common and straightforward QDA method
-Used to evaluate patterns within a piece of content
Eg. Words, phrases, images, multiple pieces of content or sources of communication such as a collection of newspaper articles
-Can be used in a wide variety of ways\
Important to go into your analysis with a very specific question and goal
-Group large amounts of text inro codes, summarize these into categories, and possibly even tabulate the data to calculate the frequency of certain concepts or variables
-Identify the frequency with which an idea is shared or spoken about
-Identify patterns of deeper underlying interpretations by identifying phrases or words
Qualitative Data Analysis (QDA): Drawbacks
-Can be very time consuming
-Requires lots of reading and re-reading the texts
-Because of its multidimensional focus on both qualitative and quantitative aspects, it is sometimes accused of losing important nuances in communication
-Tends to concentrate on a very specific timeline and doesn’t take into account what happened beofre or after that timeline
Narrative analysis
Listening to people telling stories and analyzing what it means
Can be used too explore whether hoe something being said is important
Can provide insight into their view of the world
Provides powerful insight into participants’ mindsets and perspectives
Important to listen and understand the way information is being shard/ told
Narrative analysis: Drawbacks
-Sample sizes are generally quite small
-Vary time- consuming process of capturing narratives
-Social and lifestyle factors can influence a participants
-Narrative analysis can be quite difficult to reproduce in subsequent research
-Researcher bias can have strong influence on results
-Be careful not to draw broad conclusions!
Discourse Analysis
-If your research aims and objectives involve understanding culture or power dynamics, discourse analysis can be a powerful method
-Analyzing language within its social context
analyzing language – such as a conversation, a speech, etc. – within the culture and society it takesplace in.
by using discourse analysis, you can identify how culture, history or power dynamics) have an effect on the way concepts are spoken about
Discourse Analysis: Drawbacks
-Many social influences contribute to how we speak to eachother
-Have a very specific research question in mind when analyzing your data and looking for patterns and themes, or you might be going up an down a rabbit hole
-Can also be vary time consuming as you need to sample the data to the point of saturation (until no new insights emerge)
Thematic Analysis
-If your research aims and objectives involve understanding peoples experience or view of something, thematic analysis can be a great choice
-Patterns on meaning in a data set (a set of interviews or focus group transcriptions)
-Takes bodies of data (which are often quite large) and groups them according to similarities (themes)
-The themes help us make sense of the content and derive meaning from it
Thematic analysis is a bit of an exploratory process
-Not unusual for tour research questions to develop, or even change as you progress through the analysis
Thematic Analysis: Drawbacks
-The exploratory nature of thematic analysis research means that data needs to be re reviewed each time a research question is adjusted
-Can be quite time consuming