作者: Chih Hoong Sin
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摘要: The lack of transparency in the process qualitative data analysis has led to suspicion that findings may not be robust enough used as evidence. Much software (QDAS) contains functions facilitate demonstration reliability and validity, although is straightforward. Given scale complexity many evaluations, QDAS a powerful tool can manage analyse vast amounts data. Its use an evaluative context, however, fundamentally different from using it for other forms analysis. This article explores NUD*IST version 6 (N6), widely QDAS, aspects large-scale multi-component evaluation involving large, multi-site team. It demonstrates research logistical imperatives have concrete impact on way technology harnessed produce findings, hence inevitably influencing resultant