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Illuminating the theoretical components of alexithymia using bifactor modeling and network analysis.

Psychological Assessment, 2016
Alexithymia is a multifaceted personality construct that reflects deficits in affect awareness (difficulty identifying feelings, DIF; difficulty describing feelings, DDF) and operative thinking (externally oriented thinking, EOT; restricted imaginal processes, IMP), and is associated with several common psychiatric disorders.
Carolyn A. Watters   +2 more
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Dimensionality Assessment Using the Full-Information Item Bifactor Analysis for Graded Response Data

Educational and Psychological Measurement, 2008
Dimensionality assessment using the full-information item bifactor model for graded response data is provided. The model applies to data in which each item relates to a general factor and one group factor. Specifically, alternative model specification within item response theory (IRT) is shown to test a scale's factor structure.
Jason C. Immekus, P. K. Imbrie
openaire   +1 more source

A Bifactor Model of Anxiety Sensitivity: Analysis of the Anxiety Sensitivity Index-3

Journal of Psychopathology and Behavioral Assessment, 2013
The purpose of the current study was to investigate the fit of a bifactor model of the Anxiety Sensitivity Index-3 (ASI-3; Taylor et al. Psychological Assessment, 19, 176–188, 2007) as well as to examine measurement invariance of the ASI-3 across gender.
Chad Ebesutani   +4 more
openaire   +1 more source

Comparing two theories of grammatical knowledge assessment: a bifactor-MIRT analysis

Language Learning in Higher Education, 2014
AbstractThis study compares two approaches to grammatical knowledge in language assessment: the structural view that regards grammatical knowledge as vocabulary and syntax (Bachman 1990), and the communicative view that perceives it as the binary combination of grammatical form and meaning (Purpura 2004).
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Factor Structure and Incremental Utility of the Multidimensional Cognitive Attentional Syndrome Scale (MCASS): A Bifactor Analysis

Journal of Psychopathology and Behavioral Assessment, 2022
Joseph R. Bardeen, K. Clauss, T. Fergus
semanticscholar   +1 more source

Screen for Child Anxiety Related Emotional Disorders: Are subscale scores reliable? A bifactor model analysis

Journal of Anxiety Disorders, 2014
The aim of this study was to investigate the utility of creating and scoring subscales for the self-report version of the Screen for Child Anxiety Related Emotional Disorders (SCARED) by examining whether subscale scores provide reliable information after accounting for a general anxiety factor in a bifactor model analysis.
Diogo Araújo, DeSousa   +5 more
openaire   +2 more sources

Bifactor Analysis of a Multitrait-Multimethod Matrix of Leadership Criteria in Small Groups

The Journal of Social Psychology, 1973
Summary A multitrait-multimethod matrix of leadership criteria, originally analyzed by the principal components procedure and rotated to varimax criterion, was reanalyzed employing Holzinger's bifactor analysis. In the original analysis only method factors were obtained, while the bifactor analysis isolated a trait factor in addition to method factors.
openaire   +2 more sources

Is it the perceived stress scale (PSS) Undimimensional and invariant? A Bifactor analysis in Mexican adults

Current Psychology, 2021
A. Juárez-García   +4 more
semanticscholar   +1 more source

Driving Anger Scale: How reliable are subscale scores? A bifactor model analysis

Transportation Research Part F: Traffic Psychology and Behaviour, 2016
Abstract The utility of creating and interpreting subscale scores for the Driving Anger Scale (DAS; Deffenbacher, Oetting, & Lynch, 1994) was examined in this study. Using data from 414 drivers (built using the snowball sampling approach and consisting of university students and their peers), we verified whether subscale scores provide reliable ...
openaire   +1 more source

Full-Information Item Bifactor Analysis of the Job Burnout Scale for Chinese College Teachers

Journal of Convergence Information Technology, 2010
The bifactor structure has been considered a credible model for various types of data. Research purposes were: (a) to test the utility of the bifactor IRT model for dimensionality assessment and (b) to confirmatory factor analyze the structure of the newly-developed scale, the Job Burnout Scale for Chinese College Teachers.
Peng Wang -, Fengqiang Gao -
openaire   +1 more source

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