Primary Data treatment Sample Clauses

Primary Data treatment. Anonymisation, transcription and translation of interviews into English are part of the procedures of data treatment after its collection, what alludes to its transcription and translation. We have followed ▇▇▇▇▇▇, ▇▇▇▇▇▇▇▇ and ▇▇▇▇▇ (2005)13 considerations regarding transcription. They point out that in social sciences we usually employ a “naturalized approach” (language represents the real world). Therefore, the transcript usually reflects a verbatim depiction of speech: pauses, interjections, silences, grammatical failures, etc. (e.g., Uh huh, Mm, Yeah, etc.). Nevertheless, we won’t be examining it for patterns (it will not be a “Conversation analysis”). However, we will consider the analysis of analysis of sentiments (feelings) so, (voice inflection: fear, cry, 12 see ▇▇▇▇▇, P. I., & ▇▇▇▇, ▇. ▇. (2015). Are We There Yet? Data Saturation in Qualitative Research. The Qualitative Report, 20(9), 1408-1416. Retrieved from ▇▇▇▇://▇▇▇▇▇▇▇▇.▇▇▇▇.▇▇▇/tqr/vol20/iss9/3. Available at: ▇▇▇▇▇://▇▇▇▇▇▇▇▇▇▇▇▇.▇▇▇▇▇▇▇.▇▇▇/cgi/▇▇▇▇▇▇▇▇▇▇▇.▇▇▇?referer=http://▇▇▇▇▇▇▇.▇▇▇▇▇▇.▇▇/&httpsredir=1&article=1049&context ▇▇▇▇▇▇▇▇, ▇., ▇▇▇, ▇., ▇▇▇▇▇▇▇▇▇, ▇., ▇▇▇▇▇, S., ▇▇▇▇▇▇▇▇▇▇, ▇., ▇▇▇▇▇▇▇, ▇., & ▇▇▇▇▇, C. (2017). Saturation in qualitative research: exploring its conceptualization and operationalization. Quality & quantity, 52(4), 1893–1907. doi:10.1007/s11135-017-0574-8 Available at: ▇▇▇▇▇://▇▇▇.▇▇▇▇.▇▇▇.▇▇▇.▇▇▇/pmc/articles/PMC5993836/ 13 For further considerations please consult: ▇▇▇▇▇▇, ▇. ▇., ▇▇▇▇▇▇▇▇, ▇. ▇., & ▇▇▇▇▇, ▇. ▇. (2005). Constraints and Opportunities with Interview Transcription: Towards Reflection in Qualitative Research. Social forces; a scientific medium of social study and interpretation, 84(2), 1273–1289. doi:10.1353/sof.2006.0023 ▇▇▇▇▇://▇▇▇.▇▇▇▇.▇▇▇.▇▇▇.▇▇▇/pmc/articles/PMC1400594/ laugh, exaltation, doubts, and silences) are needed. It must also include verbatim depiction of speech (e.g., Uh huh, Mm, Yeah, etc.; vocalizations…); because they help to understand the meaning. Data treatment carefully follows the “Data Management Plan” Deliverable D9.1 and all RAISD ethical considerations. As formulated in the RAISD Proposal technical and organisational measures that implemented to safeguard the rights and freedoms of the data subjects/research participants are various. The procedures the partners will implement for the collection, storage, protection, retention and destruction of data comply with national and EU legislation. More specifically, with all the r...
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