The Perception of Societal Models of Power Distribution by Recent Male College Graduates

Abstract

This study examines the perception of power among young adult males. A sampleof 1971 male graduates of a state university were asked in 1974 to choose from among pluralistic and elitist models of power in the U.S. The correlates of the various perceptions of power were elaborated using political attitudes, degree of political activism, change in political beliefs, locus of control, and status inconsistency. The findings were that: (1) the respondents tended to perceive an elitist model, although they preferred a pluralist model; and (2) those most likely to perceive power in elitist terms were activists, those with changed political beliefs, those most status inconsistent, and those with external locus of control.     

National identity among a sample of students at an Afrikaans university in South Africa

In this article we show that there are two more or less distinct orientations toward the citizenship role — one which stresses traditional notions of patriotism and another which emphasises more critical, active participation in the political process. These two orientations seem central since how one rates the citizenship requirements relates to both self‐identification and perceptions of social power.

Our results shed light on national identity within a sample consisting largely of Afrikaans university students in South Africa and indicate that these students identify very strongly with South Africa.     

Some new techniques for applying the housing unit method of local population estimation

The housing unit method of population estimation is often characterized as being imprecise and having an upward bias. We believe that the method itself cannot properly be characterized by a particular level of precision or direction of bias. Only specific techniques of applying the method can have such characteristics. In this paper we discuss several new techniques we have developed for estimating households and the average number of persons per household. Estimates produced by these techniques are compared to estimates produced by several other techniques. Special census results from Florida provide preliminary evidence that the new techniques produce more precise, less biased estimates than the other techniques.     

Job satisfaction as an indicator of the quality of employment

It is suggested that the quality of employment should be assessed from the value perspectives of the employer and of society as well as the perspective of the worker. The prevailing conception of the nature of job satisfaction, and the associated measurement methods, provide useful but unnecessarily limited indicators of the quality of employment. An enlarged conception is offered as to the nature of job satisfaction, its causes, and its possible consequences. The implications of this conception for the utility of satisfaction measures as social indicators are examined as to three aspects: (1) The psychology of job satisfaction; (2) The sociology of job satisfaction; (2) The approach and technology of using subjective satisfaction measures in conjunction with other indicators. The view is expressed that direct measures of subjective job satisfaction are an essential component in any effort to make comparisons or monitor changes in the quality of employment, but that such measures, like other subjective and objective indicators, have ambiguous meaning if used alone.     

A regression approach to estimating the average number of persons per household

In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regression models in which PPH estimates were based on symptomatic indicators of PPH change. We tested these estimates using county-level data in four states and found them to be more precise and less biased than estimates based on more commonly used methods.     

Assessing Antecedents of Socially Responsible Supplier Selection in Three Global Supply Chain Contexts

A number of highly publicized, controversial lapses in social responsibility within global supply chains have forced managers and scholars to reexamine long‐held perspectives on supplier selection. Extending Carter and Jennings’ department‐level study of purchasing social responsibility, our research assesses the role of supply managers’ ethical intentions and three key antecedents that drive socially responsible supplier selection. Comparing evidence from firms operating in China, the United States, and the United Arab Emirates, we identify three key drivers of supply managers’ ethical intentions and examine both their direct and indirect impacts on socially responsible supplier selection. We find differential support for the predictor relationships on supply manager ethical intentions across national contexts and mediated versus nonmediated models. These observations bear important implications for firms conducting global supply management.     

Measurement Error and the Effects of Unions on the Compensating Differentials for Fatal Workplace Risks

With essentially the same estimation methods and time period but using different UK data sets and risk measures, Sandy and Elliott (1996) found that nonunion male manual workers had a substantially higher fatal risk premium than union workers while Siebert and Wei (1994) found the opposite. This paper attempts to reconcile these conflicting results using the different measures of fatal risk employed in these two studies together on the same data set. The conflicting results are due to several types of measurement error. We find substantial miscoding in the employee-reported industry affiliation as well as larger errors-in-variables bias in the industry-based risk than in the occupation-based risk.