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A modern network approach to revisiting the Positive and Negative Affective Schedule (PANAS) construct validity
Author(s) -
FloresKanter Pablo E.,
Garrido Luis Eduardo,
Moretti Luciana S.,
Medrano Leonardo A.
Publication year - 2021
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/jclp.23191
Subject(s) - psychology , curse of dimensionality , exploratory factor analysis , scale (ratio) , construct (python library) , oblique case , psychometrics , artificial intelligence , clinical psychology , computer science , linguistics , philosophy , physics , quantum mechanics , programming language
The factor structure of the Positive and Negative Affective Schedule (PANAS) is still a topic of debate. There are several reasons why using Exploratory Graph Analysis (EGA) for scale validation is advantageous and can help understand and resolve conflicting results in the factor analytic literature. Objective The main objective of the present study was to advance the knowledge regarding the factor structure underlying the PANAS scores by utilizing the different functionalities of the EGA method. EGA was used to (1) estimate the dimensionality of the PANAS scores, (2) establish the stability of the dimensionality estimate and of the item assignments into the dimensions, and (3) assess the impact of potential redundancies across item pairs on the dimensionality and structure of the PANAS scores. Method This assessment was carried out across two studies that included two large samples of participants. Results and Conclusion In sum, the results are consistent with a two‐factor oblique structure.