A modern network approach to revisiting the Positive and Negative Affective Schedule (PANAS) construct validity

被引:26
作者
Flores-Kanter, Pablo E. [1 ,2 ]
Eduardo Garrido, Luis [3 ]
Moretti, Luciana S. [1 ,3 ]
Medrano, Leonardo A. [1 ,3 ]
机构
[1] Univ Siglo 21, Latinos 8555,X5008, Cordoba, Argentina
[2] Consejo Nacl Invest Cient & Tecn CONICET, Buenos Aires, DF, Argentina
[3] Pontificia Univ Catolica Madre & Maestra, Dept Psychol, Santiago De Los Caballer, Dominican Rep
关键词
construct validity; Exploratory Graph Analysis; factor structure; PANAS; CONFIRMATORY FACTOR-ANALYSIS; EXPLORATORY FACTOR-ANALYSIS; STRUCTURAL EQUATION MODELS; FIT INDEXES; PSYCHOMETRIC PROPERTIES; CATEGORICAL VARIABLES; CONFIDENCE-INTERVALS; INTERNAL STRUCTURE; SAMPLE-SIZE; VALIDATION;
D O I
10.1002/jclp.23191
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Introduction 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.
引用
收藏
页码:2370 / 2404
页数:35
相关论文
共 110 条
[81]   When Can Categorical Variables Be Treated as Continuous? A Comparison of Robust Continuous and Categorical SEM Estimation Methods Under Suboptimal Conditions [J].
Rhemtulla, Mijke ;
Brosseau-Liard, Patricia E. ;
Savalei, Victoria .
PSYCHOLOGICAL METHODS, 2012, 17 (03) :354-373
[82]  
Robles R, 2003, SALUD MENT, V26, P69
[83]   Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective [J].
Rozgonjuk, Dmitri ;
Sindermann, Cornelia ;
Elhai, Jon D. ;
Christensen, Alexander P. ;
Montag, Christian .
JOURNAL OF BEHAVIORAL ADDICTIONS, 2020, 9 (03) :686-697
[84]   Differences in Within- and Between-Person Factor Structure of Positive and Negative Affect: Analysis of Two Intensive Measurement Studies Using Multilevel Structural Equation Modeling [J].
Rush, Jonathan ;
Hofer, Scott M. .
PSYCHOLOGICAL ASSESSMENT, 2014, 26 (02) :462-473
[85]  
Sandín B, 1999, PSICOTHEMA, V11, P37
[86]   Testing Structural Equation Models or Detection of Misspecifications? [J].
Saris, Willem E. ;
Satorra, Albert ;
van der Veld, William M. .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2009, 16 (04) :561-582
[87]   A Comparative Investigation of Rotation Criteria Within Exploratory Factor Analysis [J].
Sass, Daniel A. ;
Schmitt, Thomas A. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2010, 45 (01) :73-103
[88]   Reporting structural equation modeling and confirmatory factor analysis results: A review [J].
Schreiber, James B. ;
Nora, Amaury ;
Stage, Frances K. ;
Barlow, Elizabeth A. ;
King, Jamie .
JOURNAL OF EDUCATIONAL RESEARCH, 2006, 99 (06) :323-337
[89]   Update to core reporting practices in structural equation modeling [J].
Schreiber, James B. .
RESEARCH IN SOCIAL & ADMINISTRATIVE PHARMACY, 2017, 13 (03) :634-643
[90]   On the replication of factor structures of the Positive and Negative Affect Schedule (PANAS) [J].
Seib-Pfeifer, Laura-Effi ;
Pugnaghi, Giulia ;
Beauducel, Andre ;
Leue, Anja .
PERSONALITY AND INDIVIDUAL DIFFERENCES, 2017, 107 :201-207