2022
DOI: 10.3390/ijerph19148843
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Rasch Modeling and Differential Item Functioning of the Self-Stigma Scale-Short Version among People with Three Different Psychiatric Disorders

Abstract: Self-stigma is prevalent in individuals with psychiatric disorders and can profoundly affect people. A unified assessment with sound psychometric properties is needed for evaluating self-stigma across psychiatric conditions. The aim of this study was to examine the psychometric properties of the Self-Stigma Scale-Short version (SSS-S) using Rasch modeling. Six-hundred and twelve participants with substance use disorders (n = 319), attention-deficit/hyperactivity disorder (n = 100), and schizophrenia (n = 193) … Show more

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Cited by 21 publications
(12 citation statements)
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“…The objective of this step is to obtain goodness of fit statistics, which include the p -value of the Chi-Square statistic (non-significant), the Bentler–Bonett normed fit index (NFI) (≥0.90), the Bentler–Bonett non-normed fit index (NNFI) (≥0.90), the comparative fit index (CFI) (≥0.90), Bollen’s incremental fit index (IFI) (≥0.90), the Joreskog–Sorbom goodness of fit index (GFI) (≥0.90), the root mean square residual (RMR) (≤0.08), the standardized root mean square residual (SRMR) (≤0.08), the root mean square error of approximation (RMSEA) (≤0.08), and the 90% confidence interval of RMSEA (90% CI RMSEA) (≤0.08) [ 66 , 68 , 72 , 82 , 83 , 90 , 91 , 93 , 94 , 95 ]. The researcher can check for the re-specified model if the original model is a misfit until the researcher holds the fit model.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The objective of this step is to obtain goodness of fit statistics, which include the p -value of the Chi-Square statistic (non-significant), the Bentler–Bonett normed fit index (NFI) (≥0.90), the Bentler–Bonett non-normed fit index (NNFI) (≥0.90), the comparative fit index (CFI) (≥0.90), Bollen’s incremental fit index (IFI) (≥0.90), the Joreskog–Sorbom goodness of fit index (GFI) (≥0.90), the root mean square residual (RMR) (≤0.08), the standardized root mean square residual (SRMR) (≤0.08), the root mean square error of approximation (RMSEA) (≤0.08), and the 90% confidence interval of RMSEA (90% CI RMSEA) (≤0.08) [ 66 , 68 , 72 , 82 , 83 , 90 , 91 , 93 , 94 , 95 ]. The researcher can check for the re-specified model if the original model is a misfit until the researcher holds the fit model.…”
Section: Methodsmentioning
confidence: 99%
“…The objective of this step is identifying and meeting the goodness of fit statistics (e.g., NFI (≥0.90), NNFI (≥0.90), CFI (≥0.90), IFI (≥0.90), GFI (≥0.90), RMR (≤0.08), SRMR (≤0.08), RMSEA (≤0.08), and 90% CI RMSEA (LO and UP) (≤0.08)) [ 66 , 67 , 72 , 82 , 91 , 92 , 96 ].…”
Section: Methodsmentioning
confidence: 99%
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“…For the infit and outfit MnSq, values between 0.5 and 1.5 indicate good fit [ 30 ]. For DIF, a DIF contrast less than 1 indicates no substantial DIF [ 31 , 32 ]. For separation reliability, a value > 0.7 indicates acceptability [ 33 ].…”
Section: Methodsmentioning
confidence: 99%
“…Self-stigma is another concern among people with SUDs as these individuals may be viewed as criminals or people with weak personalities, and they may internalize such beliefs. 19 21 Because Chinese people value ‘face’, 22 the impression of being a criminal or having a weak personality among people with SUDs may lead them to be stigmatized. When encountering stigmatizing views, people with SUDs may develop self-stigma, which may promote poor psychological adjustment, including poor self-esteem 23 and depression.…”
Section: Introductionmentioning
confidence: 99%