Evidence map›Paper›PMID 28045304›Full record

ReviewPersonality disorders2017

The current state and future of factor analysis in personality disorder research.

Aidan G C Wright

Abstract readReview
In one paragraph

Review in Personality disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Review
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  15. Comparing Hierarchical Models of Personality Pathology.Journal of research in personality · 2019
    Article
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  17. Article
  18. Review
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

1 author.

Aidan G C WrightUniversity of Pittsburgh.

Funding

NIMH NIH HHS L30 MH101760
6 · The paper itself

Abstract

The major debates in the personality disorder (PD) field center on the structure of personality pathology. Factor analysis is designed to elucidate the underlying structure of observed phenomena. Therefore, factor analysis has already played a major role in the debates about the structure of PD, and will continue to be an often-used and indispensable tool moving forward. However, misconceptions about the utility and interpretation of factor analyses abound. The purpose of this article is to provide a conceptual primer on available factor analytic techniques and how they have been applied in PD research, and to highlight novel ways of using factor analysis moving forward. The techniques reviewed include exploratory and confirmatory factor analysis, exploratory structural equation modeling, multilevel structural equation modeling, and person-specific (i.e., P-technique) factor analysis. Additionally, the notion that exploratory and confirmatory factor analytic approaches lie on an exploratory to confirmatory spectrum is introduced. Examples from the published literature are used to illustrate key points. (PsycINFO Database Record

Indexed as

Data Interpretation, StatisticalFactor Analysis, StatisticalPersonality DisordersBiomedical ResearchHumans

Identifiers

PMID28045304
PMCPMC5216419

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.