Abstract

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; χ2 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 (5th edition; DSM-5; American Psychiatric Association, 2013 ) for each individual, which gave further insight into tailoring individual-specific treatments for borderline personality disorder.

Highlights

  • 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 could provide more diagnostic information

  • Out of 55 items, 38.2% items had an “excellent” level of discrimination (≥0.40) and 40.0% items had a “good” level of discrimination (0.30~0.39), which indicated that the remaining 55 items of the cognitive diagnosis assessment (CDA)-BPD had a high discrimination of item response probability between participants who met or did not meet symptom criteria assessed by these items

  • The final CDA-BPD assessed all nine symptom criteria for BPD defined in the DSM-5

Read more

Summary

Introduction

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. To measure and assess BPD, a great number of self-reported instruments have been developed, including the McLean Screening Instrument for Borderline Personality Disorder (MSIBPD; Zanarini et al, 2003), the Zanarini Rating Scale For Borderline Personality Disorder (ZAN-BPD; Zanarini, 2003), the Borderline Personality Questionnaire (BPQ; Poreh et al, 2006), and the Five Factor Borderline Inventory (FFBI; Mullins-Sweatt et al, 2012) These instruments were established using classical test theory (CTT), in which an individual’s test score is determined by recognizing his or her location along a single proficiency continuum (de la Torre & Minchen, 2014), and this score is available for general information about the overall level of symptoms in the spectrum of each instrument taker. Most of the development and application of CDMs were carried out in the field of education, these models had sufficient applicability and generality to be applied to the diagnosis of psychological disorders (de la Torre, van der Ark, & Rossi, 2018; Jaeger, Tatsuoka, Berns, & Varadi, 2006; Templin & Henson, 2006)

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call