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      Evaluation of a modified version of the Posttraumatic Growth Inventory-Short Form

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          Abstract

          Background

          Posttraumatic growth is the positive change resulting from traumatic experiences and is typically assessed with retrospective measures like the Posttraumatic Growth Inventory (PTGI). The PTGI was designed to include reference to a specific traumatic event, making it difficult to implement, without change, in prospective survey studies. Thus, a modified Posttraumatic Growth Inventory–Short Form (PTGI-SF) was included in a large prospective study of current and former U.S. military personnel. The current study provides preliminary psychometric data for this modified measure and its ability to assess psychological well-being at a single time point.

          Methods

          The study population ( N = 135,843) was randomly and equally split into exploratory and confirmatory samples that were proportionately balanced on trauma criterion. Exploratory factor analysis and confirmatory factor analysis (CFA) were performed to assess the psychometric validity of the modified measure. The final model was also assessed in a subset of the confirmatory sample with a history of trauma using CFA.

          Results

          Results supported a single-factor model with two additional correlations between items assessing spirituality and items assessing compassion/appreciation for others. This model also fits among the subset with a history of trauma. The resulting measure was strongly associated with social support and personal mastery.

          Conclusions

          The modified PTGI-SF in this study captures psychological well-being in cross-sectional assessments, in addition to being able to measure posttraumatic growth with multiple assessments. Results indicate that the modified measure is represented by a single factor, but that items assessing spirituality and compassion/appreciation for others may be used alone to better capture these constructs.

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          Most cited references22

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          Principles and practice in reporting structural equation analyses.

          Principles for reporting analyses using structural equation modeling are reviewed, with the goal of supplying readers with complete and accurate information. It is recommended that every report give a detailed justification of the model used, along with plausible alternatives and an account of identifiability. Nonnormality and missing data problems should also be addressed. A complete set of parameters and their standard errors is desirable, and it will often be convenient to supply the correlation matrix and discrepancies, as well as goodness-of-fit indices, so that readers can exercise independent critical judgment. A survey of fairly representative studies compares recent practice with the principles of reporting recommended here.
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            Positive change following trauma and adversity: a review.

            Empirical studies (n = 39) that documented positive change following trauma and adversity (e.g., posttraumatic growth, stress-related growth, perceived benefit, thriving; collectively described as adversarial growth) were reviewed. The review indicated that cognitive appraisal variables (threat, harm, and controllability), problem-focused, acceptance and positive reinterpretation coping, optimism, religion, cognitive processing, and positive affect were consistently associated with adversarial growth. The review revealed inconsistent associations between adversarial growth, sociodemographic variables (gender, age, education, and income), and psychological distress variables (e.g., depression, anxiety, posttraumatic stress disorder). However, the evidence showed that people who reported and maintained adversarial growth over time were less distressed subsequently. Methodological limitations and recommended future directions in adversarial growth research are discussed, and the implications of adversarial growth for clinical practice are briefly considered.
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              Principles and Practice of Structural Equation Modelling

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                Author and article information

                Contributors
                jotkaur@ucdavis.edu
                619-767-4624 , bennett.w.porter.ctr@mail.mil
                cynthia.a.leardmann.ctr@mail.mil
                laura.e.tobin.ctr@mail.mil
                hlemus@mail.sdsu.edu
                ddluxton@uw.edu
                Journal
                BMC Med Res Methodol
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central (London )
                1471-2288
                20 April 2017
                20 April 2017
                2017
                : 17
                : 69
                Affiliations
                [1 ]ISNI 0000 0004 0480 9616, GRID grid.420434.5, Deployment Health Research Department, , Naval Health Research Center, ; 140 Sylvester Rd., San Diego, CA 92106-3521 USA
                [2 ]Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., 6720A Rockledge Dr. #100 Bethesda, Baltimore, MD 20817 USA
                Article
                344
                10.1186/s12874-017-0344-2
                5399389
                28427350
                61bc9039-daa0-442e-96b1-530f23bd6ab0
                © 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.

                History
                : 29 November 2016
                : 7 April 2017
                Funding
                Funded by: Military Operational Medicine Research Program of the U.S. Army Medical Research and Materiel Command
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Medicine
                psychological well-being,posttraumatic growth inventory,military,psychometrics
                Medicine
                psychological well-being, posttraumatic growth inventory, military, psychometrics

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