Abstract
Robust measures support the development of theory and advancement of literature and insights into the reliability and validity of methods form a crucial part of methods selection for practitioners and researchers. In order to support the selection of data collection technique to measure distributed situation awareness (DSA), the reliability and validity associated with them must be explored. This paper presents an empirical study in which the validity of two data collection techniques which are used to collect DSA data was considered. The data collection techniques are, in turn, analysed using a network analysis method and the paper, further, considered the reliability of the network analysis method. It was shown that the network analysis method provides a reliable means of assessing DSA. While low levels of hit rates were observed for both communication logs and the CDM, higher hit rates were observed for the communication logs indicating that this data collection technique is associated with slightly higher levels of validity. These findings support the human factors community in the assessment and representation of DSA in teams.
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