Any analysis of the distribution of factors or effects among different categories of individuals in a sample of the size would of necessity have to be handled with extreme caution. Although it is perfectly practical to divide our sample along individual dimensions, such as age, occupational status, level in a hierarchy, or education, the numbers in individual groups become vanishingly small when an attempt is made to "cross-break" along the lines of more than one variable at a time. There are five significant differences in frequency of occurrence of first-level factors as a function of our demographic analyses. Recognition was cited more frequently by individuals of high than those of lower educational level. Among individuals high in the hierarchy of industry both recognition and achievement were more frequently cited than among low-level individuals. The kinds of situations that produce periods of low morale are equally possible and equally obnoxious both to engineers and to accountants.