… This paper outlines weaker and stronger forms of hiddenness and discusses the … provide
interpretive direction when making sense of complex and ambiguous interview data. Analysing …

… We explore how the two interpretive approaches in March’s work play out across three
modes of responses to ambiguity… interpret conflictual outcomes so that they, the participants, …

… data and of somehow managing to overcome that ambiguous, untidy region between not-yet
data and usable data. This … These types of “becoming” and emerging data bring about …

… adding interpretive methods to the methodological toolbox, we … positivist qualitative approach
from the interpretive approach. … , cross-case analysis was used to identify patterns across …

… interpretive models are detailed. Their strengths are identified, and their limitations and areas
of methodological ambiguity … to the original raw qualitative data is complete or extensive. …

… in-depth interpretive work; an approach that we refer to as the … we describe here can be
applied to other forms of meta-data … reveal text that is ambiguous in meaning or tangential to the …

… We can connect these qualitative principles to observable … I also suggest some ways in
which these methods and results … people’s interpretive skills and accuracy. Returning to Fig. 1, …

… Ambiguity affords more interpretive room, which might lead different sci entists to think about
the problem in different ways, ask different types of … Some of this work should be qualitative, …

… An ambiguity while dealing with the qualitative dimension of … more toward an interpretive
approach. At this point, though … types for purposes of comparison, I shall dwell more on the …

… of using three different forms of data analytic processes to … Hence this was the process
through which we ended up with … different methods however, draws attention to the ambiguity …