Role of Cognitive Control in Psychotherapy: An Integrated Review

Indian Journal of Psychological Medicine, Volume 45, Issue 5, Page 462-470, September 2023.
Background:Cognitive control (CC), including shifting, updating, and inhibiting functions, may play an integral role in various aspects of psychotherapy; however, research on this is limited. This review aims to link the disparate lines of evidence on CC as they relate to psychotherapy processes, techniques, and outcomes.Methods:A systematic search of the literature on neuropsychological domains relating to psychotherapy in adults with anxiety/depression yielded 18 eligible studies. The review also uses a narrative format to explore other potential links between CC and psychotherapy that are underinvestigated, and highlights the need for research and application to evidence-based practice of psychotherapy.Results and conclusions:Findings suggest that CC may predict psychotherapy outcomes and also improve as a function of psychotherapy. Analog sample studies suggest a possible link between CC and techniques for regulation of cognition and emotion, such as reappraisal, mindfulness, and cognitive restructuring. CC may also play an integral role in the regulation of behavior. Study of CC in the context of psychotherapy may potentially explain individual differences in psychotherapy outcomes and mechanisms of action of various psychotherapy techniques and processes. Such an understanding may have possible implications for “best fit” matching clients to therapies and modifying psychological interventions to account for poorer CC abilities. CC may be enhanced through training and further research is warranted on the impact of such training in facilitating better long-term psychotherapy outcomes.

Equidistant Response Options on Likert-Type Instruments: Testing the Interval Scaling Assumption Using Mplus

Educational and Psychological Measurement, Volume 83, Issue 5, Page 885-906, October 2023.
The purpose of the present study was to provide the means to evaluate the “interval-scaling” assumption that governs the use of parametric statistics and continuous data estimators in self-report instruments that utilize Likert-type scaling. Using simulated and real data, the methodology to test for this important assumption is evaluated using the popular software Mplus 8.8. Evidence on meeting the assumption is provided using the Wald test and the equidistant index. It is suggested that routine evaluations of self-report instruments engage the present methodology so that the most appropriate estimator will be implemented when testing the construct validity of self-report instruments.