Related Experiment Video
Updated: Jul 14, 2026

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Published on: November 27, 2019
The reliability and validity of the SAS-SMI
1Department of Neuropsychiatry and Behavioral Sciences, University of South Carolina School of Medicine, Columbia 29203, USA.
The Social Adjustment Scale for the Severely Mentally Ill (SAS-SMI) is a reliable and valid measure for assessing social functioning in individuals with severe mental illness. Its robust psychometric properties support its use in mental health research.
Area of Science:
- Psychiatry
- Psychometrics
- Mental Health Services Research
Background:
- Assessing social adjustment is crucial for individuals with severe mental illness.
- Existing scales may require updates or validation in diverse populations.
- The Social Adjustment Scale for the Severely Mentally Ill (SAS-SMI) was developed to address these needs.
Purpose of the Study:
- To evaluate the reliability and validity of the SAS-SMI.
- To determine if the SAS-SMI maintains comparable psychometric properties to its predecessor, the SAS-II.
- To assess the SAS-SMI's utility in public mental health systems.
Main Methods:
- The SAS-SMI was administered to 670 individuals with severe mental illness across three samples.
- Factor structure, internal consistency, interrater reliability, and convergent/divergent validity were analyzed.
- Psychometric properties were compared to the SAS-II.
Main Results:
- The SAS-SMI demonstrated comparable factor structures to the SAS-II.
- High internal consistency and good interrater reliability were observed.
- Convergent and divergent validity were found to be comparable.
Conclusions:
- The SAS-SMI is a reliable and valid instrument for assessing social adjustment in severe mental illness.
- Its psychometric performance supports its use in mental health services research.
- Further research is suggested to refine the scale and explore its applications.
More Related Videos
Related Concept Videos
Reliability and Validity
Estimating Population Standard Deviation
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Spearman's Rank Correlation Test
Spearman's test calculates correlation by...
Response Surface Methodology
The process of RSM involves several key steps:
Statistical Analysis System (SAS)
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...

