Diffusion within Marcia's identity-status paradigm: Does it foreshadow academic problems?

The present investigation attempted to ascertain longitudinally whether diffuseness about academic goals and plans would predict subsequent underachievement. Identity-status interviews were administered to 98 firstsemester college students. Their grade point averages (GPA) were obtained for their first six semesters in college. SAT and conceptual-level scores were used to generate predicted GPAs. Underachievement was operationally defined as a positive discrepancy between predicted-minus-observed GPA: underachievement=predicted observed GPA. Evidence for the hypothesized relationship between diffusion and academic underachievement was not found. To the contrary, Diffusions during their freshman year showed a tendency for relativeoverachievement (predicted observed GPA). The possibility of heterogeneity within Marcia's diffusion status was considered. Some diffuselike individuals may see their current lack of commitment and concern as a hiatus, whereas others may be truly unconcerned and myopic about their lives. A significant association between foreclosure and underachievement was found when the subjects were freshmen. This relationship was not replicated with an independent sample of 90 high school students. A post hoc interpretation focused on differences between transient and long-term Foreclosures and the role that the college environment may potentially play in instigating personal identity crises. The need for longitudinal tests on this account is underscored.     

The Crisis of Central-local government relations: The British experience

The Case for Local Government. By G. Jones and J. Stewart eds. The Politics of Local Spending. By A. Midwinter . Edinburgh: Mainstream Publishing. Abolition or Reform? The GLC and the Metropolitan Counties. By N. Flynn , S. Leach and C. Vielba .     

A new typology for R&D laboratories: Implications for policy analysts

Science policy analysts have traditionally classified R&D laboratories as government, private, or university. The authors argue that this view is outmoded and provides little help in understanding the rapidly changing environment of R&D laboratories. They provide and test an alternative scheme designed to cope with “sector blurring” and the intermingling of market and political influences on R&D laboratories. The authors also discuss implications of their scheme for a variety of contemporary science policy issues.     

Expenditures and receipts in state and local government finances: Reply

It is worth repeating that causality testing is a very complex task. The diversity of views on interpreting the definition of causality and on the methods for testing causality highlight this issue. In our study, we cite an excellent article which provides a detailed critique of various problems associated with causality tests (see Conway, et al., 1984). It would appear that Chowdhury's comment draws very strong conclusions and fails to consider some of the complex theoretical issues regarding causality tests as well as important data problems pertaining to state and local governments. Moreover, we find it somewhat curious that, given the strong similarities in our two studies, Chowdhury prefers to dwell on the mechanics of an alternative technique rather than concentrate on the fact that his alternative technique yields supporting results to our 1987 paper on the tax-spend hypothesis.The views expressed are those of the authors alone and do not necessarily represent those of the U.S. Department of Treasury.     

Doubling the estimated value of life: Results using new occupational fatality data

Using a new series of data on occupational fatalities compiled by the National Institute for Occupational Safety and Health, the authors reassess value-of-life calculations based on labor market tradeoffs between fatality risks and wages. The new data are less subject to the problems of measurement error that plague previously used measures of risk. They indicate higher risk levels than previously believed and a significantly different composition of risk levels within industries. The more comprehensive risk data yield value-of-life estimates of $5 million or more—at least twice as large as estimates obtained using the Bureau of Labor Statistics risk data employed in previous studies.