Scales for perceived risk of student-on-student victimization in grades 7 through 10: A psychometric analysis of the adolescent index on school safety

Although past research has developed scales for the incidence, prevalence, and fear of student-on-student victimization (SSV), little is known about the scaling of perceived risk (i.e., the cognitive appraisal of the chances of experiencing SSV). Hence, this study examined self-report survey data for the perceived risk of SSV as measured in the Adolescent Index for School Safety (AISS). Children in grades 7 through 10 (n=337) in a single Florida public school completed the AISS. Factor analyses using Maximum Likelihood Estimation with Oblimin Rotation identified nine unique factors for perceived risk. Reliability analyses found standardized Cronbach Alphas that ranged from .64 to .91, and seven out of the nine identified scales were above .80, which suggested good to excellent internal consistency. Future research should examine the content validity, construct validity, and predictive validity for the AISS and other self-report surveys of SSV dynamics. This publication was made possible by a grant [#97-MU-FX-KO12 (S-l)] from the Office of Juvenile Justice and Delinquency Prevention (O.J.J.D.P.), United States Department of Justice (U.S.D.O.J.). This grant is administered through the Hamilton Fish National Institute on School and Community Violence at George Washington University. This specific study was developed and implemented by staff at: 1) East Carolina University’s Department of Criminal Justice; and 2) Florida State University’s Center for Educational Research and Policy Studies. All points of view and opinions in this paper are those of the authors and do not necessarily represent the official position or policies of East Carolina University, Florida State University, the Hamilton Fish National Institute on School and Community Violence, the O.J.J.D.P., or the U.S.D.OJ. The authors would also like to thank Dr. Bill Doerner and Jennifer Jolley for their support, editorial feedback, and insightful comments regarding earlier drafts of this paper.     

India's “Grand Strategy” for the Indian Ocean: Mahanian Visions

This article considers how India sees the Indian Ocean, and in particular its drive to make the Indian Ocean, “India's Ocean.” Various comparisons and links are made. Firstly there is the role and application of Mahanian tenets of “sea-power,” in particular naval projection, control of sea-routes and access to bases. Second is the contrast between the earlier maritime visions of Kavalam Panikkar (1945) and Keshav Vaidya (1949) and the continental mindset evident under Nehru and his successors which saw neglect of India's maritime power. Third is the strategic vision evident since 1998 with the BJP government and maintained by the Congress administration since 2004. This has underpinned India's Naval Chief of Staff Arun Prakash's current eloquence on the possibilities opening up for India in and around the Indian Ocean. Questions of intent (strategic doctrine) and the application of “state power” (spending, bases, ships and equipment, geographical reach) are woven together.     

Traffic accidents and drivers suspected for drug influence

All records from the Danish Medicolegal Council concerning drivers suspected for drug influences were examined for the 5 year period 1981-1985. 461 records were included, 62 women and 399 men. In 250 cases drugs from more than one of ten groups had been taken thus making 786 combinations of drug/driving. The major drug group was benzodiazepines, accounting for 65% of all drug intake. Opioids also contributed substantially, found in 38% of the cases. A traffic accident had occurred in 180 (39%) of the records. Drivers who had been taking antidepressives were involved in an accident in 67%, significantly above the mean. For benzodiazepines, the corresponding percentage was 43%, while for opioids it was only 23%, significantly below the mean. This striking difference has been demonstrated in most of the studies concerning drugs in traffic. It may support the hypothesis that opioids do not necessarily make driving dangerous, as do antidepressives, barbiturates and especially benzodiazepines.