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The identification and analysis of outliers in employee survey data as a means for improving the reporting of survey results
Citation
Dillon, A and Patrick, J, The identification and analysis of outliers in employee survey data as a means for improving the reporting of survey results, Advances in Organisational Research Methods and Analysis, Chamber and Row Inc, R Lacey (ed), New York, pp. 117-143. ISBN 9780989678704 (2013) [Research Book Chapter]
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Copyright Statement
Copyright 2013 Ron Lacy
Official URL: http://chamberrow.com/index.html
Abstract
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.
Item Details
Item Type: | Research Book Chapter |
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Keywords: | Organisational, Research, Methods, Analysis |
Research Division: | Health Sciences |
Research Group: | Health services and systems |
Research Field: | Health care administration |
Objective Division: | Health |
Objective Group: | Public health (excl. specific population health) |
Objective Field: | Public health (excl. specific population health) not elsewhere classified |
UTAS Author: | Patrick, J (Dr Jeff Patrick) |
ID Code: | 85599 |
Year Published: | 2013 |
Deposited By: | Management |
Deposited On: | 2013-07-22 |
Last Modified: | 2017-11-06 |
Downloads: | 374 View Download Statistics |
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