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During data immersion, the investigators uncovered the pervasive underlying themes of suffering and disempowerment.
The method is the compressible extension of the boundary data immersion method (BDIM, Maertens & Weymouth (2015), [18]).
"Boundary Data Immersion Method for Cartesian-Grid Simulations of Fluid-Body Interaction Problems," Journal of Computational Physics, 230: 620116247 (2011) (with Weymouth, G.). "Resonant wave signature of an oscillating and translating disturbance in a two-layer density stratified fluid," Journal of Fluid Mechanics, 675: 477–494 (2011) (with Alam, R. & Liu, Y.).
Data immersion occurred through listening to, transcribing and reading interviews[ 60].
Data analysis was performed by repeatedly reading all data, line by line, to achieve data immersion.
CS read all transcripts for data immersion and held eight documented 'hashing-out' discussions with SC.
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Six landmark points on the skull (three for each plane) were measured with a Micro-Scribe-3DX coordinate data stylus (Immersion Corp., Can Jose, CA, USA).
Reading and re-reading of the interview transcripts and listening to interview recordings to build familiarity with the data enabled immersion in the data.
Familiarization with the data implied immersion in the raw data several times through listening to the tapes and reading the full sets of transcripts.
This enabled data re-immersion to check that the interpretations remained true to the data.
A bigger distribution of data for the immersion groups than for the control group was observed, where higher SD were noted for immersion groups than for control groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com