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Träfflista för sökning "L773:1939 134X OR L773:1040 3590 srt2:(2020-2024)"

Sökning: L773:1939 134X OR L773:1040 3590 > (2020-2024)

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1.
  • Blázquez-Rincón, Desirée, et al. (författare)
  • The Fear of COVID-19 Scale : A meta-analytic structural equation modeling approach
  • 2023
  • Ingår i: Psychological Assessment. - : American Psychological Association (APA). - 1040-3590 .- 1939-134X. ; 35:11, s. 1030-1040
  • Tidskriftsartikel (refereegranskat)abstract
    • The widespread administration and multiple validations of the Fear of COVID-19 Scale (FCV-19S) in different languages have highlighted the controversy over its underlying structure and the resulting reliability index. In the present study, a meta-analysis based on structural equation modeling (MASEM) was conducted to assess the internal structure of the seven-item, 5-point Likert-type FCV-19S version, estimate an overall reliability index from the underlying model that best reflected the internal structure (one τ-equivalent factor, one congeneric factor, or two-factor models), and perform moderator analyses for the model-implied interitem correlations and estimated factor loadings. A Pearson interitem correlation matrix was obtained for 48 independent studies, from which a pooled matrix was calculated following a random-effects multivariate meta-analysis. The results from the one-stage MASEM analysis showed that the two-factor model properly fitted the pooled matrix, while the τ-equivalent and congeneric one-factor models did not. Even though, the use of a bifactor model exhibited the predominance of the general factor over the domain-specific ones. High omega coefficients were obtained for the entire scale (.91) and the psychological (.83) and physiological (.83) symptoms subscales. Moderator analyses evidenced an increase in the estimated factor loadings, as well as in the reliability of the FCV-19S, when the standard deviation of the total scores increased and when the FCV-19S was administered to specific (vs. general) populations. The FCV-19S can be therefore considered as a highly related two-factor scale whose reliability makes it suitable for applied and research purposes.
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2.
  • Jovanović, Veljko, et al. (författare)
  • The Coronavirus Anxiety Scale : Cross-National Measurement Invariance and Convergent Validity Evidence
  • 2024
  • Ingår i: Psychological Assessment. - 1040-3590 .- 1939-134X. ; 36:1, s. 14-29
  • Tidskriftsartikel (refereegranskat)abstract
    • Coronavirus Anxiety Scale (CAS) is a widely used measure that captures somatic symptoms of coronavirus-related anxiety. In a large-scale collaboration spanning 60 countries (Ntotal = 21,513), we examined the CAS's measurement invariance and assessed the convergent validity of CAS scores in relation to the fear of COVID-19 (FCV-19S) and the satisfaction with life (SWLS-3) scales. We utilized both conventional exact invariance tests and alignment procedures, with results revealing that the single-factor model fit the data well in almost all countries. Partial scalar invariance was supported in a subset of 56 countries. To ensure the robustness of results, given the unbalanced samples, we employed resampling techniques both with and without replacement and found the results were more stable in larger samples. The alignment procedure demonstrated a high degree of measurement invariance with 9% of the parameters exhibiting noninvariance. We also conducted simulations of alignment using the parameters estimated in the current model. Findings demonstrated reliability of the means but indicated challenges in estimating the latent variances. Strong positive correlations between CAS and FCV-19S estimated with all three different approaches were found in most countries. Correlations of CAS and SWLS-3 were weak and negative but significantly differed from zero in several countries. Overall, the study provided support for the measurement invariance of the CAS and offered evidence of its convergent validity while also highlighting issues with variance estimation.
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4.
  • Nordgren, Line, et al. (författare)
  • Identifying Subgroups of Patients With Eating Disorders Based on Emotion Dysregulation Profiles : A Factor Mixture Modeling Approach to Classification
  • 2022
  • Ingår i: Psychological Assessment. - Washington, United States : American Psychological Association (APA). - 1040-3590 .- 1939-134X. ; 34:4, s. 367-378
  • Tidskriftsartikel (refereegranskat)abstract
    • This study aimed to investigate whether individuals with eating disorders (ED; N = 857) could be empirically classified into qualitatively distinct subgroups based on their emotion dysregulation profiles. A series of increasingly complex models (factor analysis; FA, latent class analysis; LCA, and factor mixture models; FMM) were evaluated to determine whether the structure of psychopathology was best characterized by emotional dysregulation subtypes, dimensions, or a combination of the two. The subscales of the difficulties in emotion regulation scale were used as indicators. Data were split into an exploratory and confirmatory dataset, and the best-fitting models in the exploratory set were compared and validated against clinically relevant variables in the confirmatory set. Results confirmed that individuals could be grouped into three latent classes that were clearly distinguishable on ED pathology and psychiatric comorbidity. Specifically, individuals belonging to the class with more severe emotion dysregulation had higher levels of ED pathology and were more likely to engage in vomiting and binge eating as well as substance abuse and self-harm. These results provide initial support for emotional dysregulation profiling as a viable transdiagnostic approach to classification in the field of EDs.
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