scholarly journals Assessment of Emotional Management ability: a Rasch Model Analysis of the brief Situational Test of Emotional Management (STEM-B)

2018 ◽  
Author(s):  
Carolina da Motta ◽  
Célia Barreto Carvalho ◽  
Paula Castilho ◽  
Michele T. Pato
Keyword(s):  
Item Response Theory ◽  
General Population ◽  
Psychometric Properties ◽  
Item Response ◽  
Rasch Model ◽  
Response Theory ◽  
Emotional Management ◽  
Portuguese Version ◽  
Management Ability ◽  
Situational Test

The current study aimed to explore the psychometric properties of the Portuguese version of the brief Situational Test of Emotional Management (STEM-B) using Item Response Theory (Rasch Model) in a sample of 899 participants from the general population.

scholarly journals Assessment of Emotional Management ability: a Rasch Model Analysis of the brief Situational Test of Emotional Management (STEM-B)

2018 ◽  
Author(s):  
Carolina da Motta ◽  
Célia Barreto Carvalho ◽  
Paula Castilho ◽  
Michele T. Pato
Keyword(s):  
Item Response Theory ◽  
General Population ◽  
Psychometric Properties ◽  
Item Response ◽  
Rasch Model ◽  
Response Theory ◽  
Emotional Management ◽  
Portuguese Version ◽  
Management Ability ◽  
Situational Test

The current study aimed to explore the psychometric properties of the Portuguese version of the brief Situational Test of Emotional Management (STEM-B) using Item Response Theory (Rasch Model) in a sample of 899 participants from the general population.

scholarly journals Improving the measurement of alexithymia in autistic adults: a psychometric investigation of the 20-item Toronto Alexithymia Scale and generation of a general alexithymia factor score using item response theory

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zachary J. Williams ◽  
Katherine O. Gotham
Keyword(s):  
Item Response Theory ◽  
General Population ◽  
Psychometric Properties ◽  
Item Response ◽  
Factor Score ◽  
Response Theory ◽  
Toronto Alexithymia Scale ◽  
Autistic Adults ◽  
Nomological Validity ◽  
Tas 20

Abstract Background Alexithymia, a personality trait characterized by difficulties interpreting emotional states, is commonly elevated in autistic adults, and a growing body of literature suggests that this trait underlies several cognitive and emotional differences previously attributed to autism. Although questionnaires such as the 20-item Toronto Alexithymia Scale (TAS-20) are frequently used to measure alexithymia in the autistic population, few studies have investigated the psychometric properties of these questionnaires in autistic adults, including whether differential item functioning (I-DIF) exists between autistic and general population adults. Methods This study is a revised version of a previous article that was retracted due to copyright concerns (Williams and Gotham in Mol Autism 12:1–40). We conducted an in-depth psychometric analysis of the TAS-20 in a large sample of 743 cognitively able autistic adults recruited from the Simons Foundation SPARK participant pool and 721 general population controls enrolled in a large international psychological study. The factor structure of the TAS-20 was examined using confirmatory factor analysis, and item response theory was used to generate a subset of the items that were strong indicators of a “general alexithymia” factor. Correlations between alexithymia and other clinical outcomes were used to assess the nomological validity of the new alexithymia score in the SPARK sample. Results The TAS-20 did not exhibit adequate model fit in either the autistic or general population samples. Empirically driven item reduction was undertaken, resulting in an 8-item general alexithymia factor score (GAFS-8, with “TAS” no longer referenced due to copyright) with sound psychometric properties and practically ignorable I-DIF between diagnostic groups. Correlational analyses indicated that GAFS-8 scores, as derived from the TAS-20, meaningfully predict autistic trait levels, repetitive behaviors, and depression symptoms, even after controlling for trait neuroticism. The GAFS-8 also presented no meaningful decrement in nomological validity over the full TAS-20 in autistic participants. Limitations Limitations of the current study include a sample of autistic adults that was majority female, later diagnosed, and well educated; clinical and control groups drawn from different studies with variable measures; only 16 of the TAS-20 items being administered to the non-autistic sample; and an inability to test several other important psychometric characteristics of the GAFS-8, including sensitivity to change and I-DIF across multiple administrations. Conclusions These results indicate the potential of the GAFS-8 to robustly measure alexithymia in both autistic and non-autistic adults. A free online score calculator has been created to facilitate the use of norm-referenced GAFS-8 latent trait scores in research applications (available at https://asdmeasures.shinyapps.io/alexithymia).

scholarly journals The Revised Mood Rhythm Instrument: A Large Multicultural Psychometric Study

2021 ◽  
Vol 10 (3) ◽  
pp. 388
Author(s):  
Melissa Alves Braga de Oliveira ◽  
Euclides de Mendonça Filho ◽  
Alicia Carissimi ◽  
Luciene Lima dos Santos Garay ◽  
Marina Scop ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Item Response Theory ◽  
Network Analysis ◽  
Psychometric Properties ◽  
Item Response ◽  
Response Theory ◽  
Item Response Theory Analysis ◽  
Increased Risk ◽  
Psychometric Analyses ◽  
Self Reporting Questionnaire

Background: Recent studies with the mood rhythm instrument (MRhI) have shown that the presence of recurrent daily peaks in specific mood symptoms are significantly associated with increased risk of psychiatric disorders. Using a large sample collected in Brazil, Spain, and Canada, we aimed to analyze which MRhI items maintained good psychometric properties across cultures. As a secondary aim, we used network analysis to visualize the strength of the association between the MRhI items. Methods: Adults (n = 1275) between 18–60 years old from Spain (n = 458), Brazil (n = 415), and Canada (n = 401) completed the MRhI and the self-reporting questionnaire (SRQ-20). Psychometric analyses followed three steps: Factor analysis, item response theory, and network analysis. Results: The factor analysis indicated the retention of three factors that grouped the MRhI items into cognitive, somatic, and affective domains. The item response theory analysis suggested the exclusion of items that displayed a significant divergence in difficulty measures between countries. Finally, the network analysis revealed a structure where sleepiness plays a central role in connecting the three domains. These psychometric analyses enabled a psychometric-based refinement of the MRhI, where the 11 items with good properties across cultures were kept in a shorter, revised MRhI version (MRhI-r). Limitations: Participants were mainly university students and, as we did not conduct a formal clinical assessment, any potential correlations (beyond the validated SRQ) cannot be ascertained. Conclusions: The MRhI-r is a novel tool to investigate self-perceived rhythmicity of mood-related symptoms and behaviors, with good psychometric properties across multiple cultures.

scholarly journals Diagnosing the GOSE: Structural and Psychometric Properties Using Item Response Theory, a TRACK-TBI Pilot Study

2019 ◽  
Vol 36 (17) ◽  
pp. 2493-2505 ◽  
Author(s):  
Jana Ranson ◽  
Brooke E. Magnus ◽  
Nancy Temkin ◽  
Sureyya Dikmen ◽  
Joseph T. Giacino ◽  
...  
Keyword(s):  
Pilot Study ◽  
Item Response Theory ◽  
Psychometric Properties ◽  
Item Response ◽  
Response Theory
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