Latent profile analysis: A review and “how to” guide of its application within vocational behavior research Spurk, D, Hirschi, Andreas, Wang, M, Valero, D and Kauffeld, S 2020, Latent profile analysis: A review and “how to” guide of its application within vocational behavior research, Journal of Vocational Behavior, vol. 120, pp. 1-21, doi: 10.1016/j.jvb.2020.103445. Attached Files Name Description MIMEType Size Downloads Title Latent profile analysis: A review and “how to” guide of its application within vocational behavior research Author(s) Spurk, D Hirschi, Andreas Wang, M Valero, D Kauffeld, S Journal name Journal of Vocational Behavior Volume number 120 Article ID 103445 Start page 1 End page 21 Total pages 21 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-08 ISSN 0001-8791 1095-9084 Keyword(s) Bestpractice CAREER ADAPTABILITY Categorical latent variable model DISENTANGLING SHAPE Factor mixture models Heavy work investment Latent profile analysis MODEL-SELECTION NUMBER PERFECTIONISM PERSON-CENTERED ANALYSES Person-centered methods PROTEAN CAREERS Psychology Psychology, Applied Review Social Sciences STATISTICAL POWER Work engagement WORKAHOLISM Working compulsively Working excessively Language eng DOI 10.1016/j.jvb.2020.103445 Field of Research 1303 Specialist Studies in Education 1503 Business and Management 1701 Psychology HERDC Research category C1.1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30162992 Document type: Journal Article Collections: Faculty of Business and Law Open Access Collection Department of Management Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 21 Feb 2022, 14:49:52 EST Mon, 21 Feb 2022, 19:29:27 EST Mon, 21 Feb 2022, 19:33:05 EST Tue, 22 Feb 2022, 14:28:51 EST Tue, 22 Feb 2022, 14:32:12 EST Wed, 23 Feb 2022, 05:07:19 EST Mon, 04 Apr 2022, 13:13:44 EST Mon, 04 Apr 2022, 13:16:38 EST Mon, 04 Apr 2022, 16:41:44 EST Mon, 04 Apr 2022, 16:51:13 EST Fri, 08 Apr 2022, 15:38:17 EST Filtered Full Citation counts:   Cited 84 times in TR Web of Science Cited 91 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 22 Feb 2022, 14:32:12 EST