Measuring the therapeutic bond in genetic counseling: Testing measurement error in the bond subscale of the Working Alliance Inventory

• Published in: Journal of genetic counseling 2024-02
• Main Authors: Broadbridge, Elizabeth, Roter, Debra L, Persky, Susan, Erby, Lori H
• Format: Article
• Language: English
• ISSN: 1059-7700; 1573-3599; 1573-3599
• DOI: 10.1002/jgc4.1844

The therapeutic relationship is a key component of successful genetic counseling. In psychotherapy, a strong therapeutic relationship can improve patient health outcomes and a poor relationship can worsen psychological functioning. Investigation of the therapeutic relationship in genetic counseling has shown evidence for a similar pattern. Reliable measurement of the therapeutic relationship is necessary for consistency across studies in the genetic counseling context. One measure that has been adapted for use in genetic counseling is the Working Alliance Inventory (WAI). However, there have been no studies of the factor structure or item-level method bias analyses for the genetic counseling-adapted version of the WAI. The goal of this study was to test the factor structure of the WAI observer version (WAI-O) bond subscale and assess method bias in a genetic counseling context. We hypothesized that differences in factor structures would exist for items that were positively (n = 9) versus negatively (n = 3) worded (reverse coded). Secondary data analysis was performed on two data sets that utilized the WAI-O in genetic counseling contexts. Data set 1 used simulated genetic counseling sessions that were judged by analog clients recruited through crowdsourcing platforms (N = 861). Data set 2 was conducted with genetic counseling clients, and sessions were evaluated by a research team (N = 120). Principal axis factor analysis with oblique oblimin rotation supported a two-factor solution for the WAI-O bond subscale across data sets. Items factored based on wording, with the positively worded items loading together and the negatively worded items loading on the second factor. Confirmatory factor analyses supported the removal of all negatively worded items from the instrument across data sets. Results suggest that the negatively worded items on the WAI-O may be capturing a construct inconsistent with the positively worded items and support rewording and/or excluding them from use for a more reliable measure of the therapeutic bond.