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40 Data were classified and organised according to key themes, concepts and emergent patterns.
Data were classified and organised according to key themes, concepts and emergent patterns (16).
Data were classified and manually coded according to key themes guided by the research questions using thematic content analysis.
The data were classified and grouped into three categories: (1) upper management performance; (2) dietetic service staff members' performance; and (3) training policy.
This study adopted the thematic framework approach, in which data were classified and organised according to key themes, concepts and emergent patterns [ 22].
Similar(54)
Similar strategies, in the sense that the audio-visual data is classified and a particular model is computed for each cluster, have been also proposed in the literature for applications such as emotion recognition [19] and for head motion synthesis [20, 21] from speech.
Currently, they do not share that data because the information is classified and companies fear violating anti-trust law.
Data were classified, filtered and coded using MS Excel 5, and was transferred to STATA version 8 for statistical analysis.
Data were classified by group and time and are displayed as mean ± standard error of the mean (SEM).
The data were classified into censored and uncensored data to distinguish between safe crossing and red-light running behavior.
The data were classified by gender (female and male) and age (<65 and ≥65 years).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com