دراسة تنبؤية لنسبة الذكاء فئ ضوء بعض المتغيرات الاجتماعية

الملخص EN

The current study is considered the first national study conducted on the intelligence quotient (IQ) covering 959 students (23.04%) of the total study population (4344), 30% male and 70% female from various faculties, University of Khartoum, Sudan, to detect the possibility of predicting intelligence as a variable correlated to some social variables (age, parents' age at birth, marital status, parental level, average income.

The Standard Larafen Algorithm was applied to intelligence and a questionnaire was designed to obtain demographic data.

The analysis of the data was used for the test (t) and the standard deviation.

The analysis of the variance of the regression of the social and academic variables was used for IQ, and then the linear regression analysis of the social and academic variables was used to predict intelligence.

There were significant statistical correlations for all studied variables for intelligence prediction.

Significant effects at the (P > 0.000) of father’s education, parental relationship at the level of significance P > 0.001, and (P > 0.008) of Mother's education, (P > 0.016) of family residence place and (P > 0.045) for income, (P > 0.023) for mother's occupation were seen as independent variables in linear regression analysis.

Based on the findings of this study, some recommendations and advice were highlighted and further were proposed for future research