Development and initial validation of the Generalized Tracking Questionnaire

Francisco J Ruiz, María B García-Martín, Juan C Suárez-Falcón, Luna Bedoya-Valderrama, Miguel A Segura-Vargas, Andrés Peña-Vargas, Ángela M Henao and Jorge E Ávila-Campos

PLOS ONE, 2020, vol. 15, issue 6, 1-18

Abstract: The concept of rule-governed behavior (RGB) has been used in the behavior-analytic literature as a way to analyze complex human behavior, including thinking and problem-solving. Relational frame theory suggests the existence of two main functional types of RGB termed pliance and tracking. In this paper, we describe the development of the Generalized Tracking Questionnaire (GTQ) and the preliminary evaluation of its psychometric properties and validity through three studies, with a total of 1155 participants. In Study 1, a pool of items describing the main characteristics of generalized tracking was designed and evaluated by experts on the RFT account of RGB. The resulting 11 items were administered to 460 undergraduates to examine the understandability and psychometric quality of the items. The exploratory factor analysis indicated that the GTQ can be seen as a unidimensional scale, with all items exhibiting high factor loadings and corrected item-total correlations. In Study 2, the GTQ was administered online to a sample of 464 non-clinical participants and a clinical sample of 125 participants. The one-factor model of the GTQ obtained a good fit in the conducted confirmatory factor analysis. The GTQ showed measurement invariance across gender and clinical and nonclinical participants. It also obtained excellent internal consistency and correlated in theoretically coherent ways with other constructs. In Study 3, the GTQ and a neuropsychological battery of executive functions were administered to 105 participants. The GTQ showed statistically significant, medium-size correlations with working memory tests, verbal fluency, planning, and behavioral inhibition. In conclusion, the GTQ seems to be a promising measure to advance in the empirical analysis of functional classes of RGB.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0234393 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 34393&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0234393

DOI: 10.1371/journal.pone.0234393

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().