Evidence map›Paper›PMID 30920277›Full record

ArticlePsychological assessment2019

Focusing personality assessment on the person: Modeling general, shared, and person specific processes in personality and psychopathology.

Aidan G C Wright, Kathleen M Gates, Cara Arizmendi, Stephanie T Lane, William C Woods, Elizabeth A Edershile

Abstract read
In one paragraph

Article in Psychological assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Article
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  7. Unsupervised Model Construction in Continuous-Time.Structural equation modeling : a multidisciplinary journal · 2025
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  15. Review
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  17. Investigating Individual Variation Using Dynamic Structural Equation Modeling: A Tutorial with Tinnitus.Clinical psychological science : a journal of the Association for Psychological Science · 2023
    Article
  18. Article
  19. Article
  20. Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus.Structural equation modeling : a multidisciplinary journal · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Aidan G C WrightDepartment of Psychology.
Kathleen M GatesDepartment of Psychology and Neuroscience, University of North Carolina, Chapel Hill.
Cara ArizmendiDepartment of Psychology and Neuroscience, University of North Carolina, Chapel Hill.
Stephanie T LaneDepartment of Psychology and Neuroscience, University of North Carolina, Chapel Hill.
William C WoodsDepartment of Psychology.
Elizabeth A EdershileDepartment of Psychology.

Funding

Development of a Computerized Adaptive Test of Personality Disorder (CAT-PD)R01MH080086 · NIMH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SIMMS, LEONARD JAY · 2008 to 2012
$2.5M
Dynamic Expression of Antagonistic Personality Pathology in Daily LifeF32MH097325 · NIMH · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WRIGHT, AIDAN GREGORY CRAVER · 2012 to 2012
$49k
NIMH NIH HHS F32 MH097325NIMH NIH HHS L30 MH101760NIMH NIH HHS R01 MH080086
6 · The paper itself

Abstract

Personality and psychopathology are composed of dynamic and interactive processes among diverse psychological systems, manifesting over time and in response to an individual's natural environment. Ambulatory assessment techniques promise to revolutionize assessment practices by allowing access to the dynamic data necessary to study these processes directly. Assessing manifestations of personality and psychopathology naturalistically in an individual's own ecology allows for dynamic modeling of key behavioral processes. However, advances in dynamic data collection have highlighted the challenges of both fully understanding an individual (via idiographic models) and how s/he compares with others (as seen in nomothetic models). Methods are needed that can simultaneously model idiographic (i.e., person-specific) processes and nomothetic (i.e., general) structure from intensive longitudinal personality assessments. Here we present a method, group iterative multiple model estimation (GIMME) for simultaneously studying general, shared (i.e., in subgroups), and person-specific processes in intensive longitudinal behavioral data. We first provide an introduction to the GIMME method, followed by a demonstration of its use in a sample of individuals diagnosed with personality disorder who completed daily diaries over 100 consecutive days. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

Models, PsychologicalPersonalityPersonality AssessmentData Interpretation, StatisticalDiaries as TopicHumansLongitudinal StudiesPersonality Disorders

Identifiers

PMID30920277
PMCPMC9380034

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.