Please enable JavaScript.
Coggle requires JavaScript to display documents.
Qualitative Methods in Public Management - Coggle Diagram
Qualitative Methods
in Public Management
Mixed Methods
Framework
Selecting (What and Why)
Triangulation
corroborate or
complement findings
increasing the validity of results
gain multilevel understanding of the phenomenon
Sequencing (How)
Parallel design
two parts of the research are to be conducted separately and compared
Sequential design
quanti-qualitative (explanatory) design
quali-quantitative (exploratory) design
qualitative-quantitative-qualitative (hybrid) design
Connecting
Parallel
assembly and comparison of results from the two diff methods
Sequential
quanti-qualitative (explanatory)
probability sampling - purposeful sampling
quali-quantitative (exploratory)
purposeful sampling - representative sampling
MMs in PA Scholarship
Empirical study
Adopt at least one quali and quanti method
Published 2011-2017
Selecting
secure robust results & enhance validity
multilevel understanding of a phenomenon or problem
Did not specify any rationale for adoption of MMs (19%)
Sequencing
Parallel (31%)
quali (interview) + quanti (survey data): 38%
quanti (archival data): 22%
quali (interview): 6%
enhance understanding (38%)
validate findings (25%)
Sequential (69%)
quanti-qualitative (explanatory); 54%
archival with interview (38%)
survey with interview (31%)
archival, survey with case study (15%)
same methods (15%)
quali-quantitative (exploratory) : 40%
interview with survey (59%)
interview with archival (14&)
same interview (7%)
hybrid : 6%
interview - quantitative analysis - qualitative focus to understand the survey results
Connecting
Parallel
empirical context as a connecting device
lack of compelling connecting point
Sequential
quanti-qualitative (explanatory)
Execute adequaltely the connection between results
quali-quantitative (exploratory)
the qualitative interviews of the first phase informed the survey questions rarely showed how the survey questions were connected to the qualitative phase
Implications
The reason for choosing a MM study should be explain more
Call for a tighter combination of the findings obtained through separate research processes
Usefulness
Developing Theory
Advancing theory
Expanding theory
Developing New Constructs, Frameworks, and Typologies
Conceptualization
Operationalization
Defining Mechanisms
How and Why questions
Inductive vs Deductive
Common Values
scholarship for advancing theory
inquiry-driven design
gap-driven inquiry
Different criteria
Inductive
Criteria is based on the evidence provided
Is a given interpretation credible?
Deductive
generalizability
replication
Ospina, Esteve,
and Lee (2018)
Quanti and Deductive
Positivist/Post-positivist
Experimental & Quasi-experimental designs
Econometrics models
Survey methods
Quantitative case studies
Quali and Inductive
Interpretivist
Narrative inquiry
Qualitative case studies
Ethnographic
Phenomenological
Historical analysis
Participatory research
Rigor
The trustworthiness &
depth of insight
Research design
Sampling
Sampling size
Is the number of units sampled theoretically robust in both qualitative depth as well as representing important aspects of potential variability?
inquiry driven, theoretically justified, and information rich
be justified why the informants, texts, and/or cases selected should be considered of theoretical interest to the field
capture the “typical case,” the “extreme case,” the disconfirming case, or the “unusual case.”
stratified to represent informants from theoretically
important sub-populations
Theoretically robust
Is the phenomenon rare or infrequently encountered?
Are the data rare or particularly difficult to obtain?
Is the phenomenon simple or complex?
Is the phenomenon new or well investigated in the literature?
How information rich is each unit in relation to the phenomenon of interest?
Is the same unit being engaged at multiple points in time?
Data collection
describe what data was considered relevant for a given
research question and how this data was obtained
Data analysis and interpretation
whether the interpretation is credible in light of the data
whether it was the result of a robust and systematic analytical process designed to move beyond superficial findings and minimize and/or account for investigator bias
whether it is reported with sufficient attention to context so as to facilitate the potential relevance of insights to similar contexts
Deductive, Mixed, and Hybrid
Narrative Policy Framework (NPF)
Mixed Methods
Qualitative Comparative Analysis (QCA)