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. 2023 Nov 21;14(2):2281971. doi: 10.1080/20008066.2023.2281971

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© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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Figure 3. — Principal component analysis loading matrices for childhood adversity and psychosocial functioning.

Note. Two PCAs with oblique rotation were conducted on individual scores of (A) CA measures and (B) psychosocial functioning measures. The PCA for CA resulted in two principal components (PCs) which were further divided into a deprivation dimension (blue; PC1 explaining 37% of variance) and a threat dimension (red; PC2 explaining 21% of variance). To account for the contributions of both PCs, we weighted the scores for each PC by their explained variance and subsequently summed these scores to compute a single index of total severity experienced (cumulative CA index). The PCA for psychosocial functioning resulted in three PCs (PC1 explained 55% of variance; PC2 explained 15%; PC3 explained 10%). To compute a cumulative psychosocial functioning index, we summed the weighted PC1, PC2, and PC3 scores. Factor loadings of each measure are displayed on the arrows.