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Where errors were detected, the inappropriate text was recoded as an instance of the more appropriate theme and regrouped with text representing the corrected theme for data reduction.
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Each reviewer therefore produced a list of new themes for data considered to be outside of the a priori framework.
The study used a hybrid approach of theory-driven and data-driven coding and theme development for data analysis [ 20- 22].
The study used a hybrid approach of theory-driven and data-driven coding and theme development for data analysis [ 20- 22] with a previously established list of theoretical categories derived from Spector's Job Satisfaction Survey (JSS) [ 6].
However, given research classified as 'enterprise' is comprised of diverse applications that address a broad range of topics in manufacturing, it should not be classified as a significant research theme for big data in manufacturing.
The themes used for data compilation and analysis were organization profile, program overview, financial profile, human resource, services, MNE framework, sustainability plan and future direction.
We then cross-tabulated these attributes with qualitative data coded to particular themes (for example data coded to the themes 'relationships with staff' or 'medication').
The recorded files were transcribed for each question and open coded to extract important themes for qualitative data analysis (Creswell 2013; Tracy 2012).
Four key themes for such data integration were identified.
Additional file 2: Example of meaning units and abstraction till sub-themes for two data sections (different colours) from one participant in FGD 1.
For each theme, qualitative data was compared for low and high implementers (Table 3).
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CEO of Professional Science Editing for Scientists @ prosciediting.com