Normalizing SCL-90-R Inventory in Guilan High-School Students

Message:
Abstract:
Introduction
SCL-90-R inventory is used for screening and assessing effect of some treatment. Its sensitivity depended on environmental factors; there are many shortcomings of its normalization in our community.
Objective
To normalize SCL-90-R inventory in Guilan high-school students in the years of 2003-2004. : In a cross-sectional study, 4015 subjects were selected Materials and Methodsof 153948 students using multistage cluster sampling. New version of Persian SCL-90_R, that its content validity and reliability were examined and proved (r=0.86) was used. We determined validity and reliability of new version and prepared normal tables. Data was processed with SPSS 11.5 and analyzed by appropriate statistical tests (α=0.05).
Results
There were 2005 females and 2010 males that 1242 subjects were in 3rd grade and 1341 subjects were in 17 years age group. The most reliability coefficient found for depression; with test retest (r=0.93), splitting (r=0.85); and Crunbach alpha (r=0.85). There was a correlation between all 9 factors and with three global indices (r>0.50) and between 9 dimension of SCL-90-R and MMPI scales, that most correlation were between depression and anxiety (SCL-90-R) with neurasthenia in MMPI (r=0.59); and compulsive-obsessive, psychosis with schizophrenia (r=0.58) we found a statistical correlation between two tests (α=0.05). There was most mean and standard deviation (1.58 and 0.76 respectively) in females and in males (1.41 and 0.71 respectively) for paranoid scales. We found GSI mean and standard deviation 1.16 and 0.59 in females and 0.92 and 0.49 in males respectively with statistically significant difference (α= 0.05).
Conclusion
Our new Persian version of SCL-90-R inventory has acceptable validity and reliability: and can be used as measurement a general psychological symptoms in Guilan students.
Language:
Persian
Published:
Journal Of Guilan University Of Medical Sciences, Volume:19 Issue: 75, 2010
Page:
58
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