The identification and analysis of outliers in employee survey data as a means for improving the reporting of survey results

Krosnick (1999) observes that the literature is replete with new insights that demand dramatic revisions in the conventional wisdom of survey methodology. Such dramatic revisions are necessary to draw out the deeper relationships inherent in employee data sets. With this in mind, this chapter aims to explore novel methods of analysing employee survey data. It is intended that these methods will assist management in deriving a clearer and more complete picture of what the information contained in the survey is telling them about their organisation. The proposed novel methods of analysing and reporting employee survey data are not meant to replace the existing more conventional methods, but rather are meant to supplement these methods.