Establishing the theoretical components of alexithymia via factor analysis: Introduction and validation of the attention-appraisal model of alexithymia
By D. Preece, R. Becerra, Alfred Allan, Ken Robinson, J. Dandy. 2017
238 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/5a26d8d4b12ac0631c5aed3bbdc512bc4fe55844
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In Cognitive Neuroscience
In Experimental and Cognitive Psychology
In Psychiatry and Mental health
Citations in the corpus
- The psychometric assessment of alexithymia: Development and validation of the Perth Alexithymia Questionnaire (2018, methodology): “DFAN subscales were found, in most empirical studies, to be uncorrelated or negatively correlated with DIF, DDF and EOT subscales (e.g., Taylor et al., 1985; Preece et al., 2017; Vorst & Bermond, 2001; Watters, Taylor, & Bagby, 2016).”
- Assessing Alexithymia: Psychometric Properties and Factorial Invariance of the 20-Item Toronto Alexithymia Scale in Nonclinical and Psychiatric Samples (2017, background): “11 In other words, people with high levels of alexithymia rarely pay attention to their emotional states (EOT) and have difficulty accurately appraising what those states are (DIF, DDF) (Preece et al., 2017).”
- Measuring emotion regulation ability across negative and positive emotions: The Perth Emotion Regulation Competency Inventory (PERCI) (2018, background): “People can attempt to alter the trajectory of their emotions and such attempts constitute emotion regulation (Gross, 2014; John & Eng, 2014; Preece et al., 2017; Rottenberg & Johnson, 2007).”