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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
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:347 View Download Statistics

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