Mixed Methods combines both quantitative and qualitative approaches
What approach utilizes both numerical and descriptive data collection methods?
Mixed Methods
Qualitative data analysis: thematic, content, and discourse analysis
Statistical data analysis is often defined as quantitative
Surveys, experiments, and observational research that provide numerical data, is an example of?
Quantitative
Quantitative research purpose is to quantify variables and generalize results from a sample to the population of interest
Qualitiaitive research aims to deeply understand concepts, opinions, or subjective experiences
Proximal approach in research focuses on co-designing research and building interpersonal relationships with participants
Quantitative = Breadth in objective experiences to generalize
Qualitative= Depth in subjective experiences to understand
Relational approaches in mixed methods research aims to deconstruct the social hierarchies between researcher and subject by creating an interpersonal relationship based on acknowledgement of subjective experiences and understanding
Genograms, is an example of data collection by mapping the genealogical social dynamics within a household
Service maps are a visual analysis example of ways we quantify individual subjective experiences when interacting with social services.
The proximal approach focuses on co-creating research together, demolishing hierarchial power dynamics, and strengthening close interpersonal relationships.
The distal approach considers broader or indirect influences which are often quantified as top-down knowledge
Relational Mixed Method Approaches requires researchers to act from our hearts and minds, acknowledge our interpersonal bonds to others, and to take responsibility for actions and their consequences
Qualitative research provides in-depth, rich data; valuable for exploring new areas or phenomena
Quantitative allows for broad, generalizable results; highly reliable and extrapolated
May lack context or depth; less flexible in the subjectivity of experience is an example of?
Quantitative weaknesses
May not be as reliable or generalisable; cannot test for cause and effect, can be time-consuming and complex to analyse are example of?