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Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample
Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample
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Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample
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Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample
Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample

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Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample
Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample
Journal Article

Symptom-Checklist-K-9: Norm values and factorial structure in a representative German sample

2019
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Overview
The SCL-K-9 is the latest short version of the multidimensional Symptom-Checklist 90-R. Up to now, its psychometric properties have not been clarified sufficiently as the nine items have not yet been presented exclusively in a representative sample. Therefore, psychometric properties, model fit values as well as norm-values were analyzed. For the sample, N = 2,507 participants aged 14 to 92, n = 1,379 women and n = 1,128 men, and a mean age of 48.79 (SD = 17.91), were selected from the general population by random-route sampling. Confirmatory factor analyses applying full information maximum likelihood (FIML) tested the model fit. The reliability estimations and effect sizes were reported. The items' discriminative power ranged between .49 to .65, and the Cronbach's Alpha was α = .87, which stands for a good reliability of the SCL-K-9. Norm values as well as gender and age specificities were presented in this section. The CFA with all nine items loading on one latent factor resulted in a good fit. There was evidence of invariance across age and gender groups. Based on these results, the short screening version SCL-K-9 of the Symptom-Checklist 90-R showed good reliability and good model fit; specific norm values could be determined. Further studies should evaluate the usefulness of the standardization in clinical samples.