Unintended consequences of AI
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o Bias in algorithms example : Qhermeyer study ( Investigated risk
prediction algo rithm from health plan )
o Potential to worsen health disparities
,Module 9 Mixed methods research Mixed methods
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o Collection , analysis , and integration of both quantitative and qualitative
data
O It is NOT simply combining quantitative and qualitative data
Evaluation research
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Goal : gather information needed by decision - makers about whether to
adopt , modify , or abandon a program , practice , or policy .
Interpretation of qualitative findings
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o Making meaning from the data - relies on adequate incubation o Findings
need to be believable - evidence
Reporting guidelines TREND
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, Transparent Reporting of Evaluations with Nonrandomized Designs - Used
for program / intervention eval uations
All 3 are guidelines that researchers can use when reporting re sults of
both experimental and non - experimental studies
Sampling approaches Multilevel
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participants are not the same and are drawn from different populations at
different levels in a hierarchy .
Types of systematic reviews Cochrane reviews
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organization that specializes in in - depth reviews
Mixed methods designs
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Concurrent ( qual / quan data collected at same time ) vs. sequential ( qual
/ quan data coller collected in phases )
, Strategies to enhance quality in data collection: Triangulation
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data ( the use of multiple data sources to validate conclusions and to
capture a more complete contextualized picture of the phenomenon under
study ) , method ( the use of multiple methods of data collection to study
the same phenomenon to gain a consistent and coherent picture of the
phenomenon )
Mixed methods designs Prioritization
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Qualitative / quantitative may be equal ( Both prioritized similarly ) vs.
dominant ( one receives a higher priority )
Feasibility study vs. pilot study
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o Bias in algorithms example : Qhermeyer study ( Investigated risk
prediction algo rithm from health plan )
o Potential to worsen health disparities
,Module 9 Mixed methods research Mixed methods
Give this one a try later!
o Collection , analysis , and integration of both quantitative and qualitative
data
O It is NOT simply combining quantitative and qualitative data
Evaluation research
Give this one a try later!
Goal : gather information needed by decision - makers about whether to
adopt , modify , or abandon a program , practice , or policy .
Interpretation of qualitative findings
Give this one a try later!
o Making meaning from the data - relies on adequate incubation o Findings
need to be believable - evidence
Reporting guidelines TREND
Give this one a try later!
, Transparent Reporting of Evaluations with Nonrandomized Designs - Used
for program / intervention eval uations
All 3 are guidelines that researchers can use when reporting re sults of
both experimental and non - experimental studies
Sampling approaches Multilevel
Give this one a try later!
participants are not the same and are drawn from different populations at
different levels in a hierarchy .
Types of systematic reviews Cochrane reviews
Give this one a try later!
organization that specializes in in - depth reviews
Mixed methods designs
Give this one a try later!
Concurrent ( qual / quan data collected at same time ) vs. sequential ( qual
/ quan data coller collected in phases )
, Strategies to enhance quality in data collection: Triangulation
Give this one a try later!
data ( the use of multiple data sources to validate conclusions and to
capture a more complete contextualized picture of the phenomenon under
study ) , method ( the use of multiple methods of data collection to study
the same phenomenon to gain a consistent and coherent picture of the
phenomenon )
Mixed methods designs Prioritization
Give this one a try later!
Qualitative / quantitative may be equal ( Both prioritized similarly ) vs.
dominant ( one receives a higher priority )
Feasibility study vs. pilot study
Give this one a try later!
