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. 2017 Oct 12;15:200. doi: 10.1186/s12955-017-0776-8

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© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Confirmatory factor analysis a four factor model of 16 item DSMQ. Data are standardised regression coefficients for path arrows and correlation coefficients for double arrows. Boxes indicate manifest measurement variables; ovals indicate latent variables. All regression coefficients are significant with p < 0.001. All correlations between error terms are significant with p < 0.05