W2: Research Design Flashcards
(49 cards)
How do you design a research design?
It is a reflective process operating though every stage of a project
Involved activities of: collecting and analyzing data, developing and modifying theory, elaborating or refocusing the research questions, and identifying and addressing validity threats are usually all going on more or less simultaneously each influencing all of the others
Does not have to be linear
Why develop a research design?
To clearly get from A to B, as a guiding compass
Used as a boundary object in order to get approval from higher management or get everyone on the same page
Final use is for reflection purposes, reflect on the choices made and analyze any potential threats
Constantly revisit your design and re-adjust through
Answering a series of questions that makes you reflect on and justify your research choices
Consider the elements of your study and how they relate to one another, make a provisional plan, and continuously adapt each element to create unity in the whole as tour research emerges
Model for qualitative research design: diagram
Research questions
Goals
Conceptual framework
Validity
Methods
Model for qualitative research design
Process isn’t linear, all steps are interconnected
You need to think of the relationship between all these elements, have a balance/union between them
Model for qualitative research design: conceptual framework
Which theoretical elements are you going to incorporate in your study?
Model for qualitative research design: validity
What academic literature or information you find is valid to what research questions? Which threats of validity exist?
Model for qualitative research design: methods
Which methods are you going to use to try to answer your question?
Model for qualitative research design: goals
Does your question align with the goals of this topic?
Qualitative research approaches
Grounded theory
Ethnography
Netnography
Case study research
Qualitative research approaches: grounded theory
Theory development is made from data of participants that experienced the process you are trying to investigate
Best for theories of actions, interactions, or processes
Qualitative research approaches: grounded theory: unit of analysis, forms of data collection, strategies of data analysis
Unit of analysis: processes, actions, interactions involving many individuals
Forma of data collection: primarily interviews with 20-60 individuals
Strategies of data analysis: open, axial and selective coding
Qualitative research approaches: ethnography
Trying to describe and interpret a culture-sharing group, they share the same practices (ex. Teachers)
Qualitative research approaches: ethnography: unit of analysis, forms of data collection, strategies of data analysis, challenges
Unit of analysis: a group that shares the same culture
Forms of data collection: observations and interviews but also other sources during time in the field
Strategies of data analysis: description and themes of the culture-sharing group
Challenges: this process takes a very long time to complete, even years
Qualitative research approaches: netnography
A new method where you can study communities that exist online, investigate online cultures and practices
Provides researchers with a window into naturally occurring behaviors of groups that can be difficult to access under temporary and virtual collaboration
A lot of participant observations, look at behavior, language, etc.
Qualitative research approaches: netnography: challenges
Digital recordings tend to be incomplete
You can get extensive access to a setting where this cultural group operates in their “nature” setting and where you can observe and converse with them
You can maintain enough distance to tell stories that are relevant to outsider audiences
Qualitative research approaches: case study research
Look at a very specific unique case, or a couple
Provides an in-depth understanding go a case or cases
Qualitative research approaches: case study research: unit of analysis, forms of data collection, strategies of data analysis, challenges
Unit of analysis: an event, a program, an activity or more than one individual
Forms of data collection: multiple sources, interviews, observations documents, and artifacts
Strategies of data analysis: description of the case, themes, and cross-case themes
Challenges: hard to determine whether the case is appropriate for you research, finding the boundaries (ethics),
Subsections of case studies
Exploratory
Revelatory
Multiple
Case study research: exploratory
Aim: try out research questions and find out if the topic warrants further research
Caution: offers preliminary findings, not conclusions
Case study research: revelatory
Aim: unusual setting or situation that helps see something new
Caution: can be exciting but does not necessarily tell us about other cases
Case study research: multiple
Aim: several cases to find similarities and differences between them
Caution: context matters, so what is the point of comparing
Sampling strategies
Population: the largest set about which we want to make some claim
Sample: a subset in a specific context of inquiry
Sampling: your rationale for who/what individual ‘case’ you select to study and collect information about within your target population
Qualitative sampling
Main goal: being information-rich
Characteristics:
Small samples
In-depth understanding
Non-random/purposeful selection of participants
Match type and number of cases to the purpose of the study, within available resources
You can stop gathering new cases when you research “saturation”