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
[1]   Examining the Factor Structure and Structural Invariance of the PANAS Across Children, Adolescents, and Young Adults [J].
Allan, Nicholas P. ;
Lonigan, Christopher J. ;
Phillips, Beth M. .
JOURNAL OF PERSONALITY ASSESSMENT, 2015, 97 (06) :616-625
[2]   STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH [J].
ANDERSON, JC ;
GERBING, DW .
PSYCHOLOGICAL BULLETIN, 1988, 103 (03) :411-423
[3]  
[Anonymous], 2017, Ethical principles of psychologists and code of conduct
[4]  
Arancibia-Martini, 2019, MEDWAVE, V19, P7579
[5]   Exploratory Structural Equation Modeling [J].
Asparouhov, Tihomir ;
Muthen, Bengt .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2009, 16 (03) :397-438
[6]   How to Determine the Number of Factors to Retain in Exploratory Factor Analysis: A Comparison of Extraction Methods Under Realistic Conditions [J].
Auerswald, Max ;
Moshagen, Morten .
PSYCHOLOGICAL METHODS, 2019, 24 (04) :468-491
[7]   Is That Measure Really One-Dimensional? Nuisance Parameters Can Mask Severe Model Misspecification When Assessing Factorial Validity [J].
Beierl, Esther T. ;
Buehner, Markus ;
Heene, Moritz .
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 2018, 14 (04) :188-196
[8]   An overview of analytic rotation in exploratory factor analysis [J].
Browne, MW .
MULTIVARIATE BEHAVIORAL RESEARCH, 2001, 36 (01) :111-150
[9]   Factorial Structure and Measurement Invariance of the PANAS in Spanish Older Adults [J].
Buz, Jose ;
Perez-Arechaederra, Diana ;
Fernandez-Pulido, Ramon ;
Urchaga, David .
SPANISH JOURNAL OF PSYCHOLOGY, 2015, 18 :E3
[10]  
Caicedo-Cavagnis Estefanía, 2018, Suma Psicol., V25, P133, DOI 10.14349/sumapsi.2018.v25.n2.5