A system for evaluating a subject, said system comprising: (a) an input component configured to receive test data for said subject; (b) a processor provided with: a computer program for (i) extracting from said test data values for attention metrics and values for motor activity metrics; (ii) calculating from said attention metrics and said motor activity metrics a concordance composite score, wherein said concordance composite score is calculated from attention metrics and motor activity metrics selected from accuracy on the attention test, errors of omission, errors of commission, latency, standard deviation of latency, coefficient of variation of latency, immobility time of head, microevents, displacement, area of head movements, spatial scaling exponent, temporal scaling exponent, number of attention shifts, percent time spent in attentive state, percent time spent in distracted state, percent time spent impulsive state, percent time spent in random state, percent time spent in minimal response state, and percent time spent in contrary response state; (iii) extracting from said test data values for responsive attention metrics and calculating from said responsive attention metrics the magnitude of attention disturbance in said subject; and (iv) extracting from said test data values for responsive motor activity metrics and calculating from said responsive motor activity metrics the magnitude of motor activity disturbance in said subject, and (c) a processor provided with a computer program for determining, based upon said concordance composite score, the probability that said subject has an attentional disorder, wherein said computer program is configured to classify said subject on the basis of said probability. (a) an input component configured to receive test data for said subject; (b) a processor provided with: a computer program for (i) extracting from said test data values for attention metrics and values for motor activity metrics; (ii) calculating from said attention metrics and said motor activity metrics a concordance composite score, wherein said concordance composite score is calculated from attention metrics and motor activity metrics selected from accuracy on the attention test, errors of omission, errors of commission, latency, standard deviation of latency, coefficient of variation of latency, immobility time of head, microevents, displacement, area of head movements, spatial scaling exponent, temporal scaling exponent, number of attention shifts, percent time spent in attentive state, percent time spent in distracted state, percent time spent impulsive state, percent time spent in random state, percent time spent in minimal response state, and percent time spent in contrary response state; (iii) extracting from said test data values for responsive attention metrics and calculating from said responsive attention metrics the magnitude of attention disturbance in said subject; and (iv) extracting from said test data values for responsive motor activity metrics and calculating from said responsive motor activity metrics the magnitude of motor activity disturbance in said subject, and a computer program for (i) extracting from said test data values for attention metrics and values for motor activity metrics; (ii) calculating from said attention metrics and said motor activity metrics a concordance composite score, wherein said concordance composite score is calculated from attention metrics and motor activity metrics selected from accuracy on the attention test, errors of omission, errors of commission, latency, standard deviation of latency, coefficient of variation of latency, immobility time of head, microevents, displacement, area of head movements, spatial scaling exponent, temporal scaling exponent, number of attention shifts, percent time spent in attentive state, percent time spent in distracted state, percent time spent impulsive state, percent time spent in random state, percent time spent in minimal response state, and percent time spent in contrary response state; (iii) extracting from said test data values for responsive attention metrics and calculating from said responsive attention metrics the magnitude of attention disturbance in said subject; and (iv) extracting from said test data values for responsive motor activity metrics and calculating from said responsive motor activity metrics the magnitude of motor activity disturbance in said subject, and (c) a processor provided with a computer program for determining, based upon said concordance composite score, the probability that said subject has an attentional disorder, wherein said computer program is configured to classify said subject on the basis of said probability.