Generalizability vs/ applicability
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- Generalizability- associated with populations
- Applicability- degree to which results can be applies to individuals or
small groups of individuals
- Relevant to clinical decision-making
- Strategies to move evidence towards applicability
,Steps in a systemic review
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- Clearly define research question
- Define clear criteria to specify which studies they will include and exclude
(documented in protocol)
- Series of decisions about what type of information to extract from studies,
whether to include grey literature, broad/narrow focus)
- Evaluate the quality of studies by using various tools (bias assessment,
quality assessment scales and checklists)
Theory and investigator triangulation
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Investigator- Use of 2 or more researchers to code, analyze, and interpret
data
- Theory- Use of theories or hypotheses in analyzing and interpreting data
Labor intensive process
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, - Interviews and field notes have to be transcribed, read, reread, coded
and recoded, analyzed, interpreted
- The process involves coding, which is a method involving labels used to
classify or categorize data
- Subjective proxess- different researchers may do coding differently
- Analyze themes and patterns in data
Enhance quality in coding and analysis
Disconfirming evidence
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- search for data that challenges emerging categorization of explanation
- can occur through purposeful/theoretical sampling
Confirmability
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- objectivity (potential for congruence between 2 or more independent
people about data accuracy, relevance, or meaning)
- analog of OBJECTIVITY
- concern for this criterion is that data represents information participants
provide, not the interpretations of data being imagined by the inquirer
- Reflect participants' voices and conditions of inquiry (NOT researchers
bias)
Reflexivity
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- Generalizability- associated with populations
- Applicability- degree to which results can be applies to individuals or
small groups of individuals
- Relevant to clinical decision-making
- Strategies to move evidence towards applicability
,Steps in a systemic review
Give this one a try later!
- Clearly define research question
- Define clear criteria to specify which studies they will include and exclude
(documented in protocol)
- Series of decisions about what type of information to extract from studies,
whether to include grey literature, broad/narrow focus)
- Evaluate the quality of studies by using various tools (bias assessment,
quality assessment scales and checklists)
Theory and investigator triangulation
Give this one a try later!
Investigator- Use of 2 or more researchers to code, analyze, and interpret
data
- Theory- Use of theories or hypotheses in analyzing and interpreting data
Labor intensive process
Give this one a try later!
, - Interviews and field notes have to be transcribed, read, reread, coded
and recoded, analyzed, interpreted
- The process involves coding, which is a method involving labels used to
classify or categorize data
- Subjective proxess- different researchers may do coding differently
- Analyze themes and patterns in data
Enhance quality in coding and analysis
Disconfirming evidence
Give this one a try later!
- search for data that challenges emerging categorization of explanation
- can occur through purposeful/theoretical sampling
Confirmability
Give this one a try later!
- objectivity (potential for congruence between 2 or more independent
people about data accuracy, relevance, or meaning)
- analog of OBJECTIVITY
- concern for this criterion is that data represents information participants
provide, not the interpretations of data being imagined by the inquirer
- Reflect participants' voices and conditions of inquiry (NOT researchers
bias)
Reflexivity
Give this one a try later!
