Self-reliance study_HD Kote_Shivabs.rar
收藏DataCite Commons2022-08-22 更新2024-07-29 收录
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https://figshare.com/articles/dataset/Self-reliance_study_HD_Kote_Shivabs_rar/20525694/1
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We collected data from 30 cases through in-depth interviews and focus group discussions. The sample size was determined based on the data saturation principle. all the interviews were in the Kannada language. interviews then translated into English before transferring them to the software. We used QDA miner lite 2.01 version software for creating codes and themes. We used a thematic analysis approach for analyzing the data.
本研究通过深度访谈与焦点小组讨论,共收集30个案例的研究数据。样本量依据数据饱和原则确定。所有访谈均以卡纳达语(Kannada)开展,访谈内容随后被译为英文,再导入分析软件。本研究采用QDA Miner Lite 2.01版本软件进行编码与主题提炼,并运用主题分析法完成数据分析。
提供机构:
figshare
创建时间:
2022-08-22



