Detecting drugs in the workplace by means of urinalysis has been subject to a great deal of controversy as its acceptance by employees, the American Civil Liberties Union (ACLU), state legislatures and unions varies considerably. A multitude of technical and practical reasons continue
to support the belief that there is no viable substitute for urinalysis. Because of the susceptibility of urine testing alternatives methods of drug detection need to be explored. This paper examines physical alternatives as well as psychological tests that may be useful alternatives.
The mean average difference previously recorded between blacks and whites on intelligence may be an artifact based upon the differences in education and socioeconomic position of blacks and whites in this country. Previous studies in this area, with a few exceptions, have been comparing
lower class blacks with second-third through tenth generation middle class whites. Only recently in this country has a true black middle class emerged that has had access to both education and income. Even though black income nationally is still only 61% of white income, the black middle
class income has approached 75% of white income. This increase in disposable income is being invested in youth development. Second generation black youth of middle class status will show many attributes of the American achievement syndrome. The black youth in this study exceeded the
white sample mean on the Stanford-Binet and the WISCR. The black mean was 128.63 with a standard deviation of 14.44, while the white mean was 115.75 with a standard deviation of 13.37. The difference was significant at the 0.001 level.
Considerable research exists on biological and psychological explanations for smoking and evaluations of interventions. This research, which supports a psychological model of smoking maintenance, identified situations commonly associated with smoking and noted implications for intervention. College student (N = 34) and general public (N = 48) men and women smokers were questioned about the frequency, onset age, and daily situations associated with their habit. No sex differences were found in either sample for responses, and correlations between smoking rate and onset age or years of smoking were not significant. Chi‐square analysis indicated significant differences between samples in frequency with which common situational stimuli were associated with smoking. This behavior may be maintained as functionally autonomous, and effective intervention must sensitize smokers to elicitive situational stimuli as well as the smoking response.
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