Exam final Flashcards
Exploratory research
study a new issue
topic been explored but not specifically
learn existence of new issue and understand it
orient future research
Descriptive research
Descriptive
Phenomenon exists but don’t know HOW
Describe/characterize population and phenomenon
Explanatory research
Understand WHY
Reasons misunderstood
relationship between variable not explained
Causes and effects of variables
Predict future
Operationalize
- Identify & define the target concepts
- Identify indicators for variables
Sgt: standardized, reliable, facilitate measurement
Wk: diff. ways of measure & define
Quantitative research
Positivism
Test hypotheses -> explain/predict relationships
Deductive (top-down), linear, inflexible
Large sample size -> random sampling
Standardized measurement tools/protocol
Qualitative research
Interpretivism, Social constructivism
Explore new/complex phenomenon
In-depth understanding
Inductive (bottom-up)
Dynamic/flexible
Small sample -> purposeful sampling
Open/flexible data collection/protocol
Participatory approches charac + st/wk
Quali type: understand phenomenon
New perspective by getting closer
Focus group!
Strg: adapted methods/intervention, skill development, facilitate knowledge->action, value exp of actors
Wk: long process, need training, reach actors, instrumentalization
Target pop
Entire group that you want to study
Justified: based off issue
Accessible pop
What you can actually measure
Depends on context and ressources
Sample
Subset of accessible pop
People who take part in research
How is a sample eligible
Inclusion criteria
Coherence between sample and R. Topic
Scientifically supported
Exclusion criteria
Ethical considerations
Reduce irrelevant data
Sampling
How do you reach out to accessible pop
Probabilistic sampling techniques characteristics
Representativity
Generalizability
Random selection
Simple random samples
Probabilistic Samp. Tech.
Sampling frame
Number potential participants
Randomly select individuals (random number table)
Systematic sampling
Probabilistic Samp. Tech.
Sampling frame: list all members of accessible pop
Randomly select individuals: start at K and take one each N
Stratified sampling
Probabilistic Samp. Tech
Divide accessible pop in subgroups (sex, age, sport, …)
Draw a sample from each subgroups
Cluster sampling
Probabilistic Samp. Tech
Divide accessible pop in subgroups
Select a whole subgroup
Probabilistic Sampling technique Strengths & weak
Strg: Representative samples, generalizable, less bias
Wk: Cost heavy, High skill and exp, May not rep minorities
Non-Probabilistic Sampling Techniques characteristics
Describe/explore small groups
Explore phenomenon unknown
Understand perspective of particular individuals