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Researchers are central in a qualitative research, which rely on interpretative data.
In our study, we aimed to improve blinding qualitatively by reducing systematic error, rather than attempting to measure blinding success quantitatively, as we recognise that it is difficult for such measurement to yield meaningful interpretative data.
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Attentional and interpretative bias data will be collected automatically by the study computer during the assessment.
The research design was based on interpretative phenomenology and data was collected by group interviews inspired by focus-group methodology.
The study's theoretical framework was based on interpretative phenomenology and data was analysed using a thematic analysis approach.
These discordant findings emphasize the need for cautious interpretative generalization of data obtained under different conditions and anaesthesia.
In view of the anticipated heterogeneity in intervention investigated, study design and health system contexts, we will undertake a descriptive, narrative and interpretative synthesis of data.
The main difference between QD and interpretive description lies in the data analysis, where interpretative description goes beyond mere description and aims to provide an in-depth conceptual description and understanding of a phenomenon, and QD stays closer to the data obtained.
The issue here is to combine powerful semantic technologies for automatic processing of data with interpretative power.
This process created a dialogue commentary that enabled data overview, interpretative analyses and synthesis supported by snapshot moments taken from video clip.
Using a social constructivist and critical interpretative approach [ 77], data will be coded and categorized.
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