Logistic regression analyses were used to establish the most robust set of risk factors that would best predict borderline/clinical levels of problem behavior (i.e., a t score at or above 60 on the Child Behavior Checklist Total Problem scale) of kindergarten and first-grade children at risk for emotional and behavioral disorders. Results showed that among the 11 risk factor domains considered, 5 were most predictive of borderline/clinical levels of problem behavior: externalizing behavior pattern, internalizing behavior pattern, early childhood child maladjustment, family functioning, and maternal depression. Within these 5 domains, the most robust set of individual risk factors were difficult child (i.e., temperament, parent management skills, interaction between temperament and parent management skills), destroys own toys, and maternal depression. Results, limitations, future research, and implications are discussed.

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Multinomial stepwise logistic regression analyses were used to establish the most robust set of risk factors that would best predict low basic reading skills (i.e., a standard score less than 85 on the Woodcock Reading Mastery Test-Revised Basic Reading Skills cluster) of kindergarten and first-grade children at risk for emotional and behavioral disorders. Results showed that among the 11 risk factor domains considered, four were most predictive of low reading skills: demographic characteristics, childhood maladjustment, family functioning, and maternal depression. Within these four domains, the most robust set of individual risk factors were gender, history of psychiatric hospitalization, abusive to animals, and maternal depression. Results, limitations, and implications are discussed.