Fault Tree Analysis: An emerging methodology for instructional science

Fault Tree Analysis is a systematic approach to improving the probability of succes in any system. FTA was first developed as part of the U.S. Space Industry and was applied to such programs as the Minute Man Missile evaluations. Kent G. Stephens has successfully applied the technique to instructional and administrative programs, the latest program being the development of an FTA Institute for the Training Command of the United States Navy. More than a million dollars are being allocated to that program. R. Kent Wood has used the FTA methodology as a tool for a national needs assessment of teacher use of library media centers in the United States (NATUL Project). Bruce Barker has used the FTA methodology in religious education curriculum development. Because of the newness of the Fault Tree Analysis, coupled with its rapid acceptance as a tool for systems analysis and its very different approach of analyzing possible modes of failure in systems to increase the probability of success, this article is timely as the most complete coverage of FTA to date.     

Is There a Crisis of Accountability in the American Research University?

America's research universities, approximately 125 in number,play important roles in the nation's research system, and help toset the tone for all institutions of research and higherlearning. As the research universities have formed closer linkswith industry, new problems have arisen that have precipitated amajor debate. The academic medical centres and related lifescience departments present some of the most challenging newissues, which are analysed in this paper within the framework ofthe biomedical research system that has evolved in the UnitedStates since the Second World War.     

Modeling the Etiology of Individual Differences in Early Reading Development: Evidence for Strong Genetic Influences

We explored the etiology of individual differences in reading development from post-kindergarten to post–4th grade by analyzing data from 487 twin pairs tested in Colorado. Data from three reading measures and one spelling measure were fit to biometric latent growth curve models, allowing us to extend previous behavioral genetic studies of the etiology of early reading development at specific time points. We found primarily genetic influences on individual differences at post–1st grade for all measures. Genetic influences on variance in growth rates were also found, with evidence of small, nonsignificant, shared environmental influences for two measures. We discuss our results, including their implications for educational policy.