University of Mohaghegh Ardabili Journal of Learning Disabilities 2251-8673 4 2 2015 02 20 The diagnostic capability of the wechsler intelligence scale for children in quickly diagnosis of students with special learning disability The diagnostic capability of the wechsler intelligence scale for children in quickly diagnosis of students with special learning disability 55 69 261 lkd-4 FA A Atadokht Corresponding author: Assistant Professor of Psychology, University of Mohaghegh Ardabili V Yagobi M.A. student of clinical psychology, Welfar organization of Ardabil province S Basharpoor Assistant Professor in Psychology, University of Mohaghegh Ardabili R Zare M.A. in Rehabilitation Counseling, University of Mohaghegh Ardabili Journal Article 2014 06 16 The purpose of this study was the investigation of Wechsler Intelligence Scale for Children (WISC-R) capability in quick diagnosis of students with special learning disability. The research method was causal-comparative and theresearch population consisted of all students in Khalkhal and all students with learning disability in Khalkhal LD centers in 2012-2013out of which 100 students (50% students with and 50% students without learning disability) were selected by available sampling. Data were collected by WISC-R and were analyzed by ANOVA and Logistic Regression Analysis. Results showed that there are significant differences between students with and without learning disability with respect to all subscales of WISC-R except mathematics, image completion and numera The purpose of this study was the investigation of Wechsler Intelligence Scale for Children (WISC-R) capability in quick diagnosis of students with special learning disability. The research method was causal-comparative and theresearch population consisted of all students in Khalkhal and all students with learning disability in Khalkhal LD centers in 2012-2013out of which 100 students (50% students with and 50% students without learning disability) were selected by available sampling. Data were collected by WISC-R and were analyzed by ANOVA and Logistic Regression Analysis. Results showed that there are significant differences between students with and without learning disability with respect to all subscales of WISC-R except mathematics, image completion and numeral symbols subscales (p<0.01) and these subscales can explain 7%-20% subjects group membership. Results showed that there are significant differences between two groups verbal, performance and total IQ (p<0.01) and these variables can explain 20%, 10%, and 18% of subjects group membership. The results of Logistic Regression showed that WISC-R has diagnostic capability of learning disability with correct prediction of 80.8% (p<0.01). According to high similarity of WISC-R and WPPSI, the clinicians can use WPPSI in order to quickly diagnosis of learning disability. l symbols subscales (p<0.01) and these subscales can explain 7%-20% subjects group membership. Results showed that there are significant differences between two groups verbal, performance and total IQ (p<0.01) and these variables can explain 20%, 10%, and 18% of subjects group membership. The results of Logistic Regression showed that WISC-R has diagnostic capability of learning disability with correct prediction of 80.8% (p<0.01). According to high similarity of WISC-R and WPPSI, the clinicians can use WPPSI in order to quickly diagnosis of learning disability. The purpose of this study was the investigation of Wechsler Intelligence Scale for Children (WISC-R) capability in quick diagnosis of students with special learning disability. The research method was causal-comparative and theresearch population consisted of all students in Khalkhal and all students with learning disability in Khalkhal LD centers in 2012-2013out of which 100 students (50% students with and 50% students without learning disability) were selected by available sampling. Data were collected by WISC-R and were analyzed by ANOVA and Logistic Regression Analysis. Results showed that there are significant differences between students with and without learning disability with respect to all subscales of WISC-R except mathematics, image completion and numera The purpose of this study was the investigation of Wechsler Intelligence Scale for Children (WISC-R) capability in quick diagnosis of students with special learning disability. The research method was causal-comparative and theresearch population consisted of all students in Khalkhal and all students with learning disability in Khalkhal LD centers in 2012-2013out of which 100 students (50% students with and 50% students without learning disability) were selected by available sampling. Data were collected by WISC-R and were analyzed by ANOVA and Logistic Regression Analysis. Results showed that there are significant differences between students with and without learning disability with respect to all subscales of WISC-R except mathematics, image completion and numeral symbols subscales (p<0.01) and these subscales can explain 7%-20% subjects group membership. Results showed that there are significant differences between two groups verbal, performance and total IQ (p<0.01) and these variables can explain 20%, 10%, and 18% of subjects group membership. The results of Logistic Regression showed that WISC-R has diagnostic capability of learning disability with correct prediction of 80.8% (p<0.01). According to high similarity of WISC-R and WPPSI, the clinicians can use WPPSI in order to quickly diagnosis of learning disability. l symbols subscales (p<0.01) and these subscales can explain 7%-20% subjects group membership. Results showed that there are significant differences between two groups verbal, performance and total IQ (p<0.01) and these variables can explain 20%, 10%, and 18% of subjects group membership. The results of Logistic Regression showed that WISC-R has diagnostic capability of learning disability with correct prediction of 80.8% (p<0.01). According to high similarity of WISC-R and WPPSI, the clinicians can use WPPSI in order to quickly diagnosis of learning disability. https://jld.uma.ac.ir/article_261_e09c13d21e114e1b8879e1f18a6a71e2.pdf