Author:
Langer Álvaro I.,Ponce Fernando P.,Ordóñez-Carrasco Jorge L.,Fuentes-Ferrada Reiner,Mac-Ginty Scarlett,Gaete Jorge,Núñez Daniel
Abstract
Abstract
Background
Experiential avoidance (EA) is a psychological mechanism associated with several mental health disorders and is regarded as a relevant target by third-generation cognitive behavioral therapies. It has been mainly assessed through self-report questionnaires, and the AAQ-II is the most used tool. Its psychometric evidence has been mostly tested through the classical test theory (CTT) and very scarcely assessed through Item Response Theory (IRT).
Methods
We used the Graded Response Model to examine its psychometric properties in Spanish-speaking university students (n = 1503; women = 995 (66.2%), mean age = 19.29, SD = 2.45). We tested whether the empirical data fit the model’s predictions and estimated the dispersion of persons and items along the experiential avoidance continuum. Moreover, we examined category probability curves to identify the response probability of each answer. Likewise, an item-person map was made where the measurement of persons and items, both on the same scale and along the experiential avoidance continuum, could be observed jointly. Finally, we tested the gender invariance of the scale.
Results
We found that the values of the individuals and the items were in the established range to be considered an adequate measure of EA. Additionally, we observed high discrimination indices for all items. The current version with seven answer options could not be optimal and should be tested in future studies. Finally, we found evidence of differential functioning by gender in one of the seven items of the instrument.
Conclusions
Our results indicate that the AAQ-II is a suitable tool for measuring EA and accurately classifying and differentiating EA levels in university students.
Funder
Agencia Nacional de Investigación y Desarrollo
ANID
Programa de Investigación Asociativa (PIA) en Ciencias Cognitivas, Universidad de Talca
Publisher
Springer Science and Business Media LLC