Bifactor Modeling Approach to Investigate Studying of Psychometric Properties of Psychological Measures

2017 ◽  
Vol 36 (4) ◽  
pp. 477-504 ◽  
Author(s):  
Jaeeun Shin ◽  
Taehun Lee
Keyword(s):  
Psychometric Properties ◽  
Psychological Measures ◽  
Modeling Approach ◽  
Bifactor Modeling

scholarly journals Psychometric properties of the Chalder Fatigue Scale revisited: an exploratory structural equation modeling approach

2015 ◽  
Vol 24 (9) ◽  
pp. 2273-2278 ◽  
Author(s):  
Ted C. T. Fong ◽  
Jessie S. M. Chan ◽  
Cecilia L. W. Chan ◽  
Rainbow T. H. Ho ◽  
Eric T. C. Ziea ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Structural Equation ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Modeling Approach

scholarly journals The Youth Psychopathic Traits Inventory: A Bifactor Model, Dimensionality, and Measurement Invariance

Assessment ◽  
2016 ◽  
Vol 24 (7) ◽  
pp. 932-944 ◽  
Author(s):  
Wendy Zwaanswijk ◽  
Violaine C. Veen ◽  
Paul Vedder
Keyword(s):  
Measurement Invariance ◽  
Community Sample ◽  
Psychopathic Traits ◽  
Bifactor Model ◽  
Ethnic Background ◽  
Latent Structure ◽  
Factor Scores ◽  
Modeling Approach ◽  
Youth Psychopathic Traits Inventory ◽  
Bifactor Modeling

The current study examines a bifactor model for the Youth Psychopathic Traits Inventory (YPI) in a Dutch community sample of adolescents ( N = 2,874). The primary goal was to examine the latent structure of the YPI with a bifactor modeling approach. Furthermore, the study examines the dimensionality and measurement invariance of the YPI. Results show that a bifactor model at subscale level fits the YPI best. The general psychopathy factor influences the 10 subscales of the YPI strongly, indicating that the YPI seems to be rather unidimensional than multidimensional. Nevertheless, the dimensions still explain nearly one third of the variance found. Findings imply that the bifactor model of the YPI should be used when examining relations with outcome variables, with a focus on the total score of the YPI, while factor scores should be reported with caution. Furthermore, the bifactor model appears invariant for gender, age, and ethnic background.

Culture and the Structure of Affect: A Bifactor Modeling Approach

2015 ◽  
Vol 17 (5) ◽  
pp. 1801-1824 ◽  
Author(s):  
Fang Fang Chen ◽  
Liying Bai ◽  
Jeong Min Lee ◽  
Yiming Jing
Keyword(s):  
Modeling Approach ◽  
Bifactor Modeling

Testing the centrality of affect: A bifactor modeling approach

2014 ◽  
Author(s):  
Fang Fang Chen ◽  
Jeong Min Lee ◽  
Yiming Jing
Keyword(s):  
Modeling Approach ◽  
Bifactor Modeling

scholarly journals Measuring errors and violations on the road: A bifactor modeling approach to the Driver Behavior Questionnaire

2015 ◽  
Vol 74 ◽  
pp. 118-125 ◽  
Author(s):  
Richard Rowe ◽  
Gabriela D. Roman ◽  
Frank P. McKenna ◽  
Edward Barker ◽  
Damian Poulter
Keyword(s):  
Driver Behavior ◽  
The Road ◽  
Modeling Approach ◽  
On The Road ◽  
Bifactor Modeling

scholarly journals Working memory and short-term memory deficits in ADHD: A bifactor modeling approach.

2020 ◽  
Vol 34 (6) ◽  
pp. 686-698
Author(s):  
Michael J. Kofler ◽  
Leah J. Singh ◽  
Elia F. Soto ◽  
Elizabeth S. M. Chan ◽  
Caroline E. Miller ◽  
...  
Keyword(s):  
Working Memory ◽  
Short Term Memory ◽  
Memory Deficits ◽  
Short Term ◽  
Term Memory ◽  
Modeling Approach ◽  
Bifactor Modeling
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