J Korean Neuropsychiatr Assoc.
1998 Nov;37(6):1267-1276.
Validity Test and Clinical Application of Computerized Standard Progressive Matrices in Korean Patients with Mental Disorders
- Affiliations
-
- 1Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea.
- 2Department of Psychiatry, College of Medicine, SungKyunKwan University, Samsung Seoul Hospital, Seoul, Korea.
Abstract
OBJECTIVE
We examined the difference between IQ(Intelligence Quotient) estimated from computerized Standard Progressive Matrices(SPM) score(SPM IQ) and Korean-Wechsler Adult Intelligence Scale(KWAIS) IQ(KWAIS IQ) in Korean patients with mental disorders in order to test the validity of SPM as a brief nonverbal intelligence test, and to find the groups that need standardization. And, we studied the method to predict KWAIS IQ more precisely from SPM test.
METHODS
SPM test in Vienna test system was administered to 166 Korean patients with mental disorders. The degree of consistency and Pearson's correlation coefficient between SPM IQ and KWAIS IQ in total subjects and groups by sex, age, education, and clinical diagnosis were investigated. And, we obtained a regression equation to predict KWAIS IQ from SPM score.
RESULTS
In total subjects, Pearson's correlation coefficient between SPM IQ and KWAIS IQ was as high as 0.704, and the percent of patients whose absolute value of difference between SPM IQ and KWAIS IQ is equal to or less than 10 was 54.8%. The degree of consistency between SPM IQ and KWAIS IQ was influenced by age and educational level. SPM IQ were higher than KWAIS IQ in younger age and lower education group. SPM IQ were lower than KWAIS IQ in older age and higher education group. The regression equation from SPM score, age, and education years predicted KWAIS IQ more correctly.
CONCLUSION
The Computerized Standard Progressive Matrices test is validated and can be used usefully as a brief nonverbal intelligence test in patients with mental disorders. In order to provide more precise evaluation, standardized data should be prepared for age group 16 to 25 and age group 26 to 35 with lower educational level.