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Unique self-leadership: A bifactor model approach
Leadership, 2013A crucial point of debate around the construct of self-leadership is its supposed lack of distinctiveness from other theoretically related constructs. We empirically investigate in professionals with leadership experience ( N = 374) with a bifactor structural equation modeling approach to what extent self-leadership (a) is distinct from related ...
Marco R Furtner +2 more
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Bifactor structure of clinical disability in relapsing multiple sclerosis
Multiple Sclerosis and Related Disorders, 2014Multiple sclerosis (MS) can affect virtually every neurological function which complicates the conceptualization and assessment of disability. Similar challenges are encountered in other medical fields including child cognitive development and psychiatry, for instance. In these disciplines progress in diagnosis and outcome measurement has been recently
Eric, Chamot +2 more
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Riskier Tests of the Validity of the Bifactor Model of Psychopathology
Clinical psychological science : a journal of the Association for Psychological Science, 2019We advanced several “riskier tests” of the validity of bifactor models of psychopathology, which included that the general and specific psychopathology factors should be reliable and well represented by their respective indicators and that including a ...
Ashley L. Watts, H. Poore, I. Waldman
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Specific and general facets of hoarding: A bifactor model
Journal of Anxiety Disorders, 2015Whereas it has been suggested that hoarding is a multidimensional construct comprising distinct but interrelated factors (i.e., difficulty discarding, excessive clutter, and excessive acquisition), a high degree of overlap as well as a lack of discriminant validity among these factors and exogenous constructs suggests that a correlated factors approach
Amanda M, Raines +4 more
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A Bifactor Model of Disgust Proneness
Assessment, 2014The current research evaluated a bifactor model for the Disgust Emotion Scale (DES) in three samples: N = 1,318 nonclinical participants, N = 152 clinic-referred patients, and N = 352 nonclinical participants. The primary goals were to (a) use bifactor modeling to examine the latent structure of the DES and in turn (b) evaluate whether the DES should ...
Bunmi O, Olatunji +2 more
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Recovering bifactor models: A comparison of seven methods.
Psychological Methods, 2020The last decade has witnessed a resurgence of interest in exploratory bifactor analysis models and the concomitant development of new methods to estimate these models. Understandably, due to the rapid pace of developments in this area, existing Monte Carlo comparisons of bifactor analysis have not included the newest methods.
Casey Giordano, Niels G. Waller
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A Bifactor Approach to Dimensionality Assessment
2020Bifactor confirmatory factor analysis models and statistical indices computed from them have previously been used to provide evidence for the appropriateness of utilizing a unidimensional interpretation of multidimensional data. However, the ability of bifactor indices to aid in the assessment of subscore strength has not been investigated.
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Assessment (Odessa, Fla.), 2020
Burnout has been viewed as a work-induced condition combining exhaustion, cynicism, and professional inefficacy. Using correlational analyses, an exploratory structural equation modeling bifactor analysis, structural regression analyses, and a network ...
J. Verkuilen +3 more
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Burnout has been viewed as a work-induced condition combining exhaustion, cynicism, and professional inefficacy. Using correlational analyses, an exploratory structural equation modeling bifactor analysis, structural regression analyses, and a network ...
J. Verkuilen +3 more
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, 2020
The use of bifactor models has increased substantially in the past decade. However, bifactor models are prone to a nonidentification problem in the context of prediction that is not well recognized in the general research community.
Bo Zhang +3 more
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The use of bifactor models has increased substantially in the past decade. However, bifactor models are prone to a nonidentification problem in the context of prediction that is not well recognized in the general research community.
Bo Zhang +3 more
semanticscholar +1 more source
IRT linking methods for the bifactor model
2018<p>For unidimensional item response theory (UIRT) models, three linking methods, which are the separate, concurrent, and fixed parameter calibration methods, have been developed and widely used in applications such as vertical scaling, differential item functioning, computerized adaptive testing (CAT), and equating. By contrast, even though a few
Kyung Yong Kim +5 more
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