Using text analysis software to detect deception in written short-answer questions in employee selection Forsyth, Loch and Anglim, Jeromy 2020, Using text analysis software to detect deception in written short-answer questions in employee selection, International journal of selection and assessment, vol. 28, no. 3, pp. 236-246, doi: 10.1111/ijsa.12284. Attached Files Name Description MIMEType Size Downloads Title Using text analysis software to detect deception in written short-answer questions in employee selection Author(s) Forsyth, Loch orcid.org/0000-0002-5014-3371 Anglim, Jeromy orcid.org/0000-0002-1809-9315 Journal name International journal of selection and assessment Volume number 28 Issue number 3 Start page 236 End page 246 Total pages 11 Publisher John Wiley & Sons Place of publication Chichester, Eng. Publication date 2020-09 ISSN 0965-075X 1468-2389 Keyword(s) Social Sciences Psychology, Applied Management Psychology Business & Economics Language eng DOI 10.1111/ijsa.12284 Indigenous content off Field of Research 1503 Business and Management 1701 Psychology HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30136816 Document type: Journal Article Collections: Faculty of Health School of Psychology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 11 May 2020, 13:31:28 EST Tue, 12 May 2020, 05:04:47 EST Tue, 12 May 2020, 08:10:42 EST Wed, 27 May 2020, 11:18:05 EST Wed, 27 May 2020, 14:32:47 EST Sat, 29 Aug 2020, 02:39:40 EST Mon, 31 Aug 2020, 08:05:33 EST Wed, 09 Sep 2020, 06:03:48 EST Tue, 22 Sep 2020, 08:47:50 EST Tue, 22 Sep 2020, 08:51:08 EST Tue, 22 Sep 2020, 08:52:36 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 63 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Wed, 27 May 2020, 14:32:47 EST

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