Sentence examples for transcribed data from inspiring English sources

Four members of the research team independently coded the transcribed data, to develop conceptually meaningful categories of responses.

The transcribed data were coded to identify significant themes.

Both the teacher and baseline networks were trained with 110 h of transcribed data.

For this research, data analysis involved the careful examination of all transcribed data from the interviews.

For many languages in the world, only very small amounts of transcribed data are available.

Transcribed data was transferred to Nvivo version 10 for arrangement, coding and merging into themes.

Voice record files and transcribed data were saved in secured storing place.

The hard target-trained networks were trained with 110-h transcribed data.

In contrast, semi-supervised learning aims to outperform training with only transcribed data.

After interview, researchers transcribed voice records, and divided, reconstructed, selected and interpreted transcribed data following the process of grounded theory analysis: open coding, axial coding and selective coding.

The transcribed data was coded using open codes descriptively so as to identify possible key ideas that were later arranged into categories.