Current approaches to the assessment and classification of personality disorders (PDs) rely almost exclusively on self-report methodology. In this paper, we document the many difficulties with self-reports, including limitations in their accuracy, the confounding effect of mood state, and problems with the selection and retention of factors in factor analytic approaches to self-report questionnaires. We also discuss the role of implicit processes in self-reports, with special attention directed to the phenomenon of priming and its effect on outcome. To rectify these issues, we suggest a transtheoretical, multimethod, multimodal approach to personality pathology assessment and diagnosis, which utilizes the richness of prototypes and empirical findings on PD categories and pathologies.
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 September 2021.
All research outputs
#24,121,174
of 34,410,315 outputs
Outputs from Journal of Personality Disorders
#550
of 902 outputs
Outputs of similar age
#140,471
of 182,034 outputs
Outputs of similar age from Journal of Personality Disorders
#3
of 8 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 902 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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