Scq scoring sheet 2025

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The SCQ had a sensitivity of 80% and a specificity of 25.7%. ROC curve analysis indicated low diagnostic accuracy. Differences in predictive accuracy of SCQ and diagnostic standard were statistically significant (p 0.0001).
To screen for alcohol abuse and dependence, the CAGE has a sensitivity of 43 to 94% and a specificity of 70 to 97% when a cutoff score of 2 is used to indicate a positive result.
Using the tools recommended clinical cut-off (15), the SCQ had a sensitivity of 80% and a specificity of 25.7%. The negative predictive value was 90% and the positive predictive value was 13.3%.
Based on the clinical diagnosis of ASD and suggested cut-off score of the SCQ (summed score of 15 or above) [1], individuals were separated into four groups to test our hypotheses: true positives (TP; have a clinical diagnosis of ASD and the SCQ score is above 15; N = 82), false negatives (FN; have a clinical diagnosis
Each item in the SCQ requires a dichotomous yes/no response, and each scored item receives a value of 1 point for abnormal behavior and 0 points for absence of abnormal behavior/normal behavior.
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The SPSRQ was developed by Torrubia et al. (2001) to measure individuals behavioral tendencies toward punishment and reward stimuli. The SPSRQ has a total of 48 items measuring two subscales: punishment sensitivity and reward sensitivity. Each item is scored as either 0, indicating no, or 1, indicating yes.
The SCQ is widely used as a screener for entry into research studies on ASD. It was designed as a questionnaire version of the Autism Diagnostic Interview Revised (ADI-R), the gold standard developmental history measure that is widely used in research and often in clinical practice.
The SCQ had good internal consistency, discriminative, and convergent validity. A cut-off score of 10 revealed sensitivity = 0.81 and specificity = 0.88 for the identification of autism spectrum disorder.

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