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First published online September 29, 2010

The NEO Five-Factor Inventory: Latent Structure and Relationships With Dimensions of Anxiety and Depressive Disorders in a Large Clinical Sample

Anthony J. Rosellini and Timothy A. BrownView all authors and affiliations
Volume 18, Issue 1
https://doi.org/10.1177/1073191110382848

Abstract

The present study evaluated the latent structure of the NEO Five-Factor Inventory (NEO FFI) and relations between the five-factor model (FFM) of personality and dimensions of DSM-IV anxiety and depressive disorders (panic disorder, generalized anxiety disorder [GAD], obsessive—compulsive disorder, social phobia [SOC], major depressive disorder [MDD]) in a large sample of outpatients (N = 1,980). Exploratory structural equation modeling (ESEM) was used to show that a five-factor solution provided acceptable model fit, albeit with some poorly functioning items. Neuroticism demonstrated significant positive associations with all but one of the disorder constructs whereas Extraversion was inversely related to SOC and MDD. Conscientiousness was inversely related to MDD but demonstrated a positive relationship with GAD. Results are discussed in regard to potential revisions to the NEO FFI, the evaluation of other NEO instruments using ESEM, and clinical implications of structural paths between FFM domains and specific emotional disorders.

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1.
1. Although the NEO FFI items were modeled as continuous variables in our analyses to replicate the model estimator used by Marsh et al. (in press), it is noteworthy that items using a 5-point Likert-type scale may also be conceptualized as ordinal variables. With this issue in mind, we also analyzed the data from Samples 1 and 2 using a categorical estimator (robust weighted least squares). The results of these solutions were virtually identical to those reported in this article (e.g., goodness of fit, strength and pattern of factor loadings, and error covariances).
2.
2. A CFA (with correlated residuals) was conducted in Sample 1 to examine fit relative to ESEM. Consistent with prior findings, the CFA model resulted in poor model fit χ2 (1643) = 5664.371, p < .001, SRMR = .07, RMSEA = .05 (CFit p = .62), TLI = .78, CFI = .80.
3.
3. A CFA (with correlated residuals) was conducted in Sample 2 to examine fit relative to ESEM. Consistent with prior findings, the CFA model resulted in poor model fit, χ2 (1643) = 5681.340, p < .001, SRMR = .07, RMSEA = .05 (CFit p = .58), TLI = .77, CFI = .79.

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Published In

Volume 18, Issue 1
Pages: 27 - 38
Article first published online: September 29, 2010
Issue published: March 2011

Keywords

  1. NEO Five-Factor Inventory
  2. five-factor model
  3. latent structure
  4. anxiety
  5. depression
  6. clinical sample
  7. exploratory structural equation modeling

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© The Author(s) 2011.
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PubMed: 20881102

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Anthony J. Rosellini
Boston University, Boston, MA, USA, [email protected]
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Timothy A. Brown
Boston University, Boston, MA, USA
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