eGOVERNMENT AND THE TRANSFORMATION AGENDA

Government policy-making emphasis worldwide is moving increasingly to how ICT can be used to achieve efficiency savings ( Gershon 2004 ) or to transform activities ( Cabinet Office; Transformational Government 2005 ). The role of ICT in achieving efficiency benefits or supporting transformational change is almost universally accepted by policy-makers, despite the fact that little robust evidence exists.
eGovernment evaluation methodologies are reviewed and evidence is provided in this paper to demonstrate that transformational eGovernment projects produce greater benefits than other types of initiatives. The level of benefits for different groups of beneficiaries is examined. A key factor determining benefits and impact of any project is the number of users of the service and/or the frequency of use of a system.     

PATTERNS OF DRUG USE,DRUG TRAFFICKING,AND OTHER DELINQUENCY AMONG INNER-CITY ADOLESCENT MALES IN WASHINGTON,D.C.*

This paper examines (1) the relationship between drug involvement among inner-city youths and the commission of other kinds of crime, (2) the role of drug use in crime commission, (3) the connection between crime and drug procurement, and (4) the factors that distinguish between individuals as a function of (a) levels of involvement in drug trafficking and (b) drug usage and criminal activity. Drug use and trafficking were both related to other criminal activities; the type of drug involvement was related to the type of crimes reported. The heaviest users were significantly more likely than nonusers to commit property crimes and drug traffickers were significantly more likely to commit crimes against persons than were respondents who did not sell drugs. Adolescents who used and sold drugs were the most likely to commit crimes against persons and property, and at the greatest rate. Still, for every type of crime reported in the past year, only a minority of offenders reported ever using drugs while committing the crime or said that they committed any type of crime in order to obtain drugs or money to obtain drugs. Most youths appear to commit crime for reasons completely independent of drugs.     

USING THE CORRECT STATISTICAL TEST FOR THE EQUALITY OF REGRESSION COEFFICIENTS

Criminologists are often interested in examining interactive effects within a regression context. For example, “holding other relevant factors constant, is the effect of delinquent peers on one's own delinquent conduct the same for males and females?” or “is the effect of a given treatment program comparable between first-time and repeat offenders?” A frequent strategy in examining such interactive effects is to test for the difference between two regression coefficients across independent samples. That is, does b₁= b₂? Traditionally, criminologists have employed a t or z test for the difference between slopes in making these coefficient comparisons. While there is considerable consensus as to the appropriateness of this strategy, there has been some confusion in the criminological literature as to the correct estimator of the standard error of the difference, the standard deviation of the sampling distribution of coefficient differences, in the t or z formula. Criminologists have employed two different estimators of this standard deviation in their empirical work. In this note, we point out that one of these estimators is correct while the other is incorrect. The incorrect estimator biases one's hypothesis test in favor of rejecting the null hypothesis that b₁= b₂. Unfortunately, the use of this incorrect estimator of the standard error of the difference has been fairly widespread in criminology. We provide the formula for the correct statistical test and illustrate with two examples from the literature how the biased estimator can lead to incorrect conclusions.