Sampling methods in personality pathology research: Some data and recommendations. Article Swipe
Salome Vanwoerden
,
Jesse Chandler
,
Kiana Cano
,
Paras Mehta
,
Paul A. Pilkonis
,
Carla Sharp
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1037/per0000593
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1037/per0000593
The field of personality disorder research has grown since the publication of the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, in 1980; with a notable evolution in the way that personality disorders are defined and operationalized. In evaluating this research, it is necessary to consider the range of sampling practices used. The goal of this study was to describe current sampling methods in personality disorder research and provide recommendations to guide sample design in future personality disorder research. To do this, we coded sampling practices described in recent empirical articles published in four journals that showcase research on personality disorders. We summarized aspects of sampling design including the combination of study question and sample characteristics (e.g., sample size, sample source, and use of screening), study design, and demographic representation of samples. Findings reveal a need for studies to better consider whether their samples are fit for purpose and to make explicit their target population and sampling frame, as well as the specific procedures (i.e., recruitment) used to carry out sampling. We also discuss issues that arise when attempting to capture low-base rate pathology, which is often associated with high comorbidity. We emphasize a process-oriented approach to developing a sampling strategy for personality disorders research. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Related Topics
Concepts
Operationalization
Personality
Sampling (signal processing)
PsycINFO
Sampling frame
Sample (material)
Personality disorders
Personality pathology
Population
Psychology
Sample size determination
Clinical psychology
Applied psychology
Data science
Computer science
MEDLINE
Medicine
Statistics
Social psychology
Epistemology
Law
Mathematics
Political science
Chemistry
Filter (signal processing)
Computer vision
Philosophy
Environmental health
Chromatography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1037/per0000593
- OA Status
- green
- Cited By
- 4
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4322495357
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4322495357Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1037/per0000593Digital Object Identifier
- Title
-
Sampling methods in personality pathology research: Some data and recommendations.Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Salome Vanwoerden, Jesse Chandler, Kiana Cano, Paras Mehta, Paul A. Pilkonis, Carla SharpList of authors in order
- Landing page
-
https://doi.org/10.1037/per0000593Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10041471/pdf/nihms-1881958.pdfDirect OA link when available
- Concepts
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Operationalization, Personality, Sampling (signal processing), PsycINFO, Sampling frame, Sample (material), Personality disorders, Personality pathology, Population, Psychology, Sample size determination, Clinical psychology, Applied psychology, Data science, Computer science, MEDLINE, Medicine, Statistics, Social psychology, Epistemology, Law, Mathematics, Political science, Chemistry, Filter (signal processing), Computer vision, Philosophy, Environmental health, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2024: 4Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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