Measuring Status Inconsistency
There have been many attempts to isolate and measure the effects of status inconsistency (S-I) on a variety of dependent variables, including self-evaluation (Goffman, 1957), social isolation (Geschwender, 1967), political attitudes and behavior (Lenski, 1954), political extremism (Rush, 1967), prejudice (Geschwender, 1970), and psychological stress (Hornung, 1977) among numerous others. These efforts have not, for the most part, dealt satisfactorily with the identification problem demonstrated by Blalock (1965, 1966, 1967, 1968), Hodge (1970), and Hope (1975). This problem arises when one tries to separate the effects of two or more status indicators. A model that tends to overestimate S-I effects is used in the present article. Status consistency's main effects are controlled by using only consistent individuals. The model is employed to explain the variance in an array of dependent variables that have been linked to S-I. This is accomplished using two recent NORC General Social Surveys for the United States and comparative data from a Euro-barometer survey drawn from seven Western European countries. Evidence generated by “objective” measures offers little support for significant empirical effects of S-I. The few significant effects that emerge in one sample are not replicated in the others.