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Published on: August 16, 2024
Development and criterion validity of a computerized text analysis measure of reflective functioning.
Eric A Fertuck1, Erhard Mergenthaler, Mary Target
1City College of New York of CUNY, Psychology, 160 Convent Ave., NAC Room 7/239, New York, NY 10031-9101, USA. efertuck@ccny.cuny.edu
A new computerized method (CRF) accurately assesses Reflective Functioning (RF), a key measure of understanding mental states. This automated approach shows promise for efficient and valid RF evaluation in clinical and non-clinical settings.
Area of Science:
- Psychological Assessment
- Computational Linguistics
- Personality Disorders
Background:
- Reflective Functioning (RF) assesses the capacity to understand subjective mental states.
- Traditional RF assessment is narrative-based and can be time-consuming.
- Developing automated methods for RF assessment is crucial for efficiency.
Purpose of the Study:
- To develop and validate a computerized text analysis version (CRF) of the Reflective Functioning scale.
- To explore the feasibility and criterion validity of the CRF measure.
- To identify linguistic markers associated with high Reflective Functioning.
Main Methods:
- Utilized 113 Adult Attachment Interviews (AAI) from clinical and non-clinical samples.
- Employed the Marker Approach to identify 54 linguistic markers of high RF language.
- Correlated CRF scores with established RF scores in Borderline Personality Disorder (BPD) patients and a non-clinical adult sample.
Main Results:
- Significant associations were found between the CRF and RF scales in both clinical (Spearman rho=.57, p<.0001) and non-clinical (Spearman rho=.57, p=.002) samples.
- The identified linguistic markers demonstrated strong correlations with Reflective Functioning.
- Preliminary criterion validity of the CRF measure was established.
Conclusions:
- A computerized Reflective Functioning (CRF) rating scale is feasible.
- The CRF measure demonstrates preliminary criterion validity.
- The CRF has potential to significantly enhance the efficiency of RF assessment.
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