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The Portable Document Format or PDF is a standard document format for business purposes, thanks to the availability. You can open them on from any device, and they'll be readable and writable identically. It'll appear similar no matter you open it on Mac computer or an Android device.

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Read the transcripts. By now, you will have accessed your transcript files as digital files in the cloud. Annotate the transcripts. Conceptualize the data. Segment the data. Analyse the segments. Write the results.
In the social sciences, coding is an analytical process in which data, in both quantitative form (such as questionnaires results) or qualitative form (such as interview transcripts) are categorized to facilitate analysis. One purpose of coding is to transform the data into a form suitable for computer-aided analysis.
In qualitative research, coding is how you define what the data you are analyzing are about (Gibbs, 2007). Coding is a process of identifying a passage in the text or other data items (photograph, image), searching and identifying concepts and finding relations between them.
What is coding in qualitative research? Coding is the process of labeling and organizing your qualitative data to identify different themes and the relationships between them. When coding customer feedback, you assign labels to words or phrases that represent important (and recurring) themes in each response.
Quantitative coding is the process of categorizing the collected non-numerical information into groups and assigning the numerical codes to these groups. Numeric coding is shared by all statistical software and among others, it facilitates data conversion and measurement comparisons.
Transcript. A written record of the detailed content of an interview or group discussion, usually produced from an audio or videotape record of the event.
Transcription is the action of providing a written account of spoken words. In qualitative research, transcription is conducted of individual or group interviews and generally written verbatim (exactly word-for- word). Transcribing may appear to be a straightforward technical task.
Transcription involves close observation of data through repeated careful listening (and/or watching), and this is an important first step in data analysis. This familiarity with data and attention to what is actually there rather than what is expected can facilitate realizations or ideas which emerge during analysis.
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