Czech version of the outcome rating scale: Selected psychometric properties

Juhová, Dana Seryjová; Řiháček, Tomáš; Cígler, Hynek; Dubovská, Eva; Saic, Martin; Černý, Martin; Dufek, Janet S.; Miller, Scott D.

doi:10.51561/cspsych.65.4.353

Cited by 2 publications

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“…Patients were instructed to place a mark on a corresponding line, with low estimates to the left and high to the right. The Czech validation study confirmed the good psychometric properties and unidimensional nature of the instrument (Juhová et al ., 2021 ).…”

Section: Methodsmentioning

confidence: 99%

The associations between interoceptive awareness, emotion regulation, acceptance, and well-being in patients receiving multicomponent treatment: a dynamic panel network model

Klocek¹,

Řiháček²

2023

RES PSYCHOTHER-PSYCH

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Mechanisms of change represent the cornerstone of the therapeutic process. This study aimed to investigate how network models could be used to test mechanisms of change at a group level. A secondary aim was to investigate which of the several hypothesized mechanisms (emotion regulation, interoceptive awareness, and acceptance) are related to changes in psychological well-being. The sample comprised adult patients suffering from psychological disorders (N=444; 70% women) from 7 clinical sites in the Czech Republic who were undergoing groupbased multicomponent treatment composed mainly of psychodynamic psychotherapy (lasting from 4 to 12 weeks depending on the clinical site). Data were collected weekly using the multidimensional assessment of interoceptive awareness, emotion regulation skills questionnaire, chronic pain acceptance questionnaire-symptoms and outcome rating scale. A lag-1 longitudinal network model was employed for exploratory analysis of the panel data. The pruned final model demonstrated a satisfactory fit. Three networks were computed, i.e., temporal, contemporaneous, and between-person networks. The most central node was the modification of negative emotions. Mechanisms that were positively associated with well-being included modification, readiness to confront negative emotions, activity engagement, and trust in bodily signals. Acceptance of negative emotions showed a negative association with well-being. Moreover, noticing bodily sensations, not worrying, and self-regulation contributed indirectly to changes in well-being. In conclusion, the use of network methodology to model panel data helped generate novel hypotheses for future research and practice; for instance, well-being could be actively contributing to other mechanisms, not just a passive outcome.

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Section: Methodsmentioning

confidence: 99%

The associations between interoceptive awareness, emotion regulation, acceptance, and well-being in patients receiving multicomponent treatment: a dynamic panel network model

Klocek¹,

Řiháček²

2023

RES PSYCHOTHER-PSYCH

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“…The total score is computed as a sum of the item ratings and falls within the range of 0–400, with a higher score corresponding to better well-being. The Czech validation study reported a unidimensional structure with satisfactory psychometric characteristics (Seryjová Juhová et al, 2021). In our study, McDonald’s ω at baseline was ω = .86.…”

Section: Methodsmentioning

confidence: 99%

Czech version of the Emotion Regulation Skills Questionnaire (ERSQ): Psychometric evaluation and network model in an adult clinical sample.

Klocek¹,

Řiháček²,

Cígler³

2022

Psychological Assessment

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The Emotion Regulation Skills Questionnaire (ERSQ, 27 items) is an instrument designed to measure nine emotion regulation skills. This study examined the psychometric properties and longitudinal network structure of the Czech translation of the ERSQ in the clinical sample (primarily mood or neurotic disorders). Czech patients N = 427 completed the ERSQ weekly during treatment. The data were analyzed using confirmatory factor analysis (CFA) and network modeling. The CFA supported an eight-dimensional factor solution (with merged Acceptance and Tolerance subscales). The subscales' internal consistency ranged from ω h = .669 (Bodily sensations) to ω h = .859 (Acceptance/Tolerance). The factor structure was invariant across genders, two age groups, and seven measurement waves (invariance tested as an assumption for network analysis). The longitudinal network model indicated the existence of perceptive and modulatory clusters of emotional regulation skills and revealed the central role of Modification, Bodily sensations, and Readiness for confrontation in emotional regulation. The Czech translation of the ERSQ is a psychometrically sound instrument comparable to the original version. Despite the high internal consistency of the total score (ω tot = .910), the ERSQ is not recommended for use as a unidimensional instrument. Public Significance StatementImprovement in negative emotion modulation was related to improvements in well-being, while changes in the perception and understanding of emotions were not. The ability to modify negative emotions was most central to the process of emotional regulation. The role of Acceptance and Tolerance of negative emotions in well-being improvement was ambivalent in our study.

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Czech version of the outcome rating scale: Selected psychometric properties

Cited by 2 publications

References 0 publications

The associations between interoceptive awareness, emotion regulation, acceptance, and well-being in patients receiving multicomponent treatment: a dynamic panel network model

The associations between interoceptive awareness, emotion regulation, acceptance, and well-being in patients receiving multicomponent treatment: a dynamic panel network model

Czech version of the Emotion Regulation Skills Questionnaire (ERSQ): Psychometric evaluation and network model in an adult clinical sample.

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