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controls
didn’t receive treatment/intervention
treated
received treatment/intervention
what are the 3 types of research design?
non-experimental/observational, quasi-experimental, and experimental
non-experimental/observational
measure impact of policy for participants ONLY
no comparison group
counterfactual is unknown - we don’t know what would happen in the absence of the policy OR control group doesn’t control for bias
haven’t considered confounders
regression adjustment
mechanically adjust by making treated and control groups statistically equivalent with respect to an observed confounder
change in outcome =
policy treatment + observed confounders
quasi-experimental
measure impact for participants and non-participants
no randomized assignment, attempt to make assignment into T + C as good as random
regression discontinuity design
assign a T + C based on proximity to eligibility cutoff
treated participants right above and below the cutoff do NOT differ on any other observable characteristics
pros of regression discontinuity design
stronger internal validity compared to non-experimental approaches
more confidence in accounting for unobserved confounders
cons of regression discontinuity design
weaker external validity bc the results may not reflect the broader population
difference-in-difference analysis
compare the changes in outcome over time btw a population enrolled in a program vs a population not enrolled in the program
parallel trends
the difference between what actually happened and the counterfactual is interpreted as the effect of the intervention
what are the pros of parallel trends?
“differences out” time-constant difference between T + C
accounts for general trends
assumes that the only difference over time btw T + C groups is the intervention
interrupted time series
tracking the outcome for T over a long-term time period before AND after the point of intervention to assess its effects
what are the pros of the interrupted time series?
doesn’t need non-participant group
strong adjustment for individual confounders
examine both levels
no other observed changes occurring around the same time as the intervention
experimental
control and treatment groups
randomized assignment
field experiments
research done in a real world environment
e.g. classic JTPA field experiment done in the 1980s
3 approaches in qualitative analysis
focus on subjective experiences, understandings, and meanings of policies
emphasizes local knowledge - experiences and understandings of a policy based on a lived experience
helps us answer how and why policies have the effects they do
qualitative/in-depth interviews
intensive, in-depth interviews with open-ended questions
small # of respondents to explore their opinions and experiences of a policy/program
more contextual evidence and holistic approach
allows for surprises/discoveries the analyst may not have anticipated
what is an example of a question that could be aksed in a qualitative/in-depth interview?
tell me what it’s been like trying to get the healthcare you need for you and your family
focus groups
open-ended interviews with small groups of people
encourages interaction and open dialogue
bring tgt diff stakeholders and present their experiences
what is an example of a question that could be asked in a focus group?
what were the key barriers to fair housing in suburban jurisdiction?
document content analysis
analyze existing information in textual documents e.g. hearing testimonies, meeting minutes
focus on the meanings conveyed via words, topics, and concepts in texts or images
ethnography and observation
study daily life in a particular setting over an extended period of time
understand interactions and experiences in their natural setting
gather data thru direct observation
intensive process
what are examples of the ethnography and observation process?
observing doctors’ offices, classrooms, policing practices
anecdote
information collected in an informal or ad-hoc manner
presented without analysis
cherry-picked to support a predetermined position
good for generating ideas and humanizing an issue
research
information collected in a systematic and transparent manner
relies on the testimonies and experiences of a well-defined group
data collected in an objective manner
what are the 4 criteria to assess the rigour of qualitative research?
self-awareness
positionality
transparency
level of engagement
self-awareness
the policy analyst acknowledges they are engaged in interpretive, subjective acts
they recognize that a policy will affect each person differently bc of their unique lived experiences
positionality
doesn’t assume they know what a policy action or decision means for everyone
identifies local knowledge as expertise
seeks out possible varying interpretations of policies across different groups or stakeholders
transparency
level of detail in the sample, data collection and reproducibility
level of engagement
analysts who have a more direct and sustained engagement with the affected group will get better qualitative insight
deeper understanding of perceptions, meanings and motivations
identify contradictions and complexities
data and evidence are more concrete