The CDA-BPD
Retrofitting a traditional borderline personality questionnaire under the cognitive diagnosis model framework
Bibliographic Data
| ID | 15671971 |
|---|---|
| Authors | Siwei Peng (0000-0002-6188-8133, Jiangxi Normal University), Daxun Wang (0000-0002-2086-1655, Jiangxi Normal University), Xuliang Gao (0000-0002-7499-6897, Jiangxi Normal University), Yan Cai (0000-0003-0888-7526, Jiangxi Normal University), Dongbo Tu (0000-0001-6091-4726, Jiangxi Normal University, corresponding author) |
| Year | 2019 |
| Volume | 13 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Pacific Rim Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1834-4909 • E-ISSN: 1834-4909 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1017/prp.2019.14 |
| OpenAlex | W3118569248 |
| Language | EN |
| Citations received | 1 |
| References cited | 42 |
To obtain rich information about the cognitive diagnosis of borderline personality disorder (BPD), this study attempted to retrofit a traditional borderline personality questionnaire so that the improved assessment (called CDA-BPD) could provide more diagnostic information. The retrofitting processes included the following steps: (1) applied an cognitive diagnosis model to analyze the psychometric characteristics of the traditional questionnaire; (2) under the guidance of cognitive diagnosis assessment (CDA), high-quality items were chosen to develop the CDA-BPD and tested on 1,097 subjects; (3) the quality of the CDA-BPD was evaluated; (4) the structure of the CDA-BPD was analyzed. Results indicated that: (1) the CDA-BPD had acceptable reliability and validity; (2) the CDA-BPD had sensitivity of 0.985 and specificity of 0.853 with area under curve (AUC) = 0.956; (3) the two structural factors of the traditional questionnaire were confirmed in the CDA-BPD; χ 2 was 83.01 with df = 26, p < .0001, comparative fit index (CFI) = 0.97, root mean square error of approximation (RMSEA) = 0.045. It was concluded that the practice of retrofitting a traditional borderline personality assessment for cognitive diagnostic purpose was feasible. Most importantly, under the cognitive diagnosis model framework, CDA-BPD could simultaneously provide general-level information and the detailed symptom criteria-level information about the posterior probability of satisfying each symptom criterion in the Diagnostic and Statistical Manual of Mental Disorders (5 th edition; DSM-5; American Psychiatric Association, 2013 ) for each individual, which gave further insight into tailoring individual-specific treatments for borderline personality disorder
Borderline personality disorder · Cognition · Machine learning · Personality · Psychiatry · Retrofitting · Structural equation modeling · Clinical Psychology · Computer Science · Personality Disorders and Psychopathology · Personality Traits and Psychology · Psychology · Psychotherapy Techniques and Applications · Social Psychology
Diagnostic and Statistical Manual of Mental Disorders
Measuring the Accuracy of Diagnostic Systems
A Screening Measure for BPD
Further Investigation of the Performance of S - X2
The Generalized Dina Model Framework
Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory
Measurement of psychological disorders using cognitive diagnosis models.
Cutoff criteria for fit indexes in covariance structure analysis
Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms
Cognitive diagnostic assessment of L2 reading comprehension ability
Analysis of Clinical Data From a Cognitive Diagnosis Modeling Framework
Alternative Ways of Assessing Model Fit
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |