On the Prediction of Positive Attitudes towards Drugs in Adolescent Students: Multivariate Regression and Multiple Regression Analyses

The current study was conducted to predict the dimensions of positive attitudes towards drugs in senior high school students based on individual and family characteristics.
All the senior high school students of Tehran city constituted the statistical population of this study, among whom the number of 400 participants was selected by multi-stage cluster sampling method. These participants responded to Attitude to Drugs and Stimulants Scale, Scale of Secure-Insecure Levels of Family, Parenting Styles Scale, and Index of Brother and Sister Relations. This study was a correlational one wherein the obtained were analyzed using multivariate linear regression and multiple linear regression.
The results show that age, family relationships, and parenting styles can predict the triple dimensional attitudes to drugs. In return, student's general attitude to drugs will be predictable from age, father’s education, family relationships, emotional atmosphere of families.
Precise information about the individual and family characteristics that can predict positive attitudes to drugs is accessible when the three dimensions of attitudes to drugs are analyzed separately.