However, without the willingness of workers to use exoskeletons, the intervention will not be successful in the industry. Recent advancements in wearable robotic technologies have led to a growing interest in the use of back-support exoskeletons as a potential solution to reduce the occurrences of back injuries. Pipe workers are subjected to forward bending tasks that cause back injuries. Work-related musculoskeletal disorders is a serious problem affecting the construction workforce. It is shown that a combination of both manual and computer assisted methods is likely to achieve the best results. The time investment required in order to make full use of NVivo's tools will also be discussed. In particular, this paper will consider the difficulties surrounding interrogation of interview transcripts and will assess issues of reliability and validity in the data analysis process. This paper will compare manual techniques in the qualitative data analysis of interview transcripts with the use of NVivo. Computer assisted qualitative data analysis software (CAQDAS) has been seen as aiding the researcher in her or his search for an accurate and transparent picture of the data whilst also providing an audit of the data analysis process as a whole-something which has often been missing in accounts of qualitative research. This paper will assess the way in which a qualitative data analysis software package-NVivo-can be used in the data analysis process.
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