Colin R. Martin
Establishing a coherent and replicable measurement model of the Edinburgh Postnatal Depression Scale
Martin, Colin R.; Redshaw, Maggie
© 2018 The Authors The 10-item Edinburgh Postnatal Depression Scale (EPDS) is an established screening tool for postnatal depression. Inconsistent findings in factor structure and replication difficulties have limited the scope of development of the measure as a multi-dimensional tool. The current investigation sought to robustly determine the underlying factor structure of the EPDS and the replicability and stability of the most plausible model identified. A between-subjects design was used. EPDS data were collected postpartum from two independent cohorts using identical data capture methods. Datasets were examined with confirm atory factor analysis, model invariance testing and systematic evaluation of relational and internal aspects of the measure. Participants were two samples of postpartum women in England assessed at three months (n = 245) and six months (n = 217). The findings showed a three-factor seven-item model of the EPDS offered an excellent fit to the data, and was observed to be replicable in both datasets and invariant as a function of time point of assessment. Some EPDS sub-scale scores were significantly higher at six months. The EPDS is multi-dimensional and a robust measurement model comprises three factors that are replicable. The potential utility of the sub-scale components identified requires further research to identify a role in contemporary screening practice.
|Journal Article Type||Article|
|Publication Date||Jun 1, 2018|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Martin, C. R., & Redshaw, M. (2018). Establishing a coherent and replicable measurement model of the Edinburgh Postnatal Depression Scale. Psychiatry research, 264, 182-191. doi:10.1016/j.psychres.2018.03.062|
|Keywords||Edinburgh Postnatal Depression Scale; EPDS; Factor structure; Validity; Psychometrics|
|Copyright Statement||© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons....icenses/BY-NC-ND/4.0/).|
© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
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