3 resultados para Alternative Remedies

em DigitalCommons@University of Nebraska - Lincoln


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The issue addressed in this article is whether and to what extent a lawyer has an ethical responsibility to pursue implementation of the remedy in institutional reform litigation. Institutional reform litigation refers to cases in which an individual or class of individuals sues a large organization in order to vindicate constitutional or statutory rights. The types of cases with which this article is concerned are the "public law" type, such as school desegregation, prisoners' rights and patients' rights cases, although included under the rubric of institutional reform can be, inter alia, antitrust, reapportionment and bankruptcy cases. The implementation stage of institutional reform litigation arises after an individual or class of individuals prevails at the liability stage, or pursuant to a settlement, and a court orders the defendant organization to change in order to vindicate the plaintiffs' rights. At that point, the defendant organization, whether it be a prison, mental hospital or school district, usually has the burden of implementing the order. One conclusion drawn is that the ethical duty of the lawyer must always be consistent with the lawyer's "special responsibility for the quality of justice."

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Evaluations of measurement invariance provide essential construct validity evidence. However, the quality of such evidence is partly dependent upon the validity of the resulting statistical conclusions. The presence of Type I or Type II errors can render measurement invariance conclusions meaningless. The purpose of this study was to determine the effects of categorization and censoring on the behavior of the chi-square/likelihood ratio test statistic and two alternative fit indices (CFI and RMSEA) under the context of evaluating measurement invariance. Monte Carlo simulation was used to examine Type I error and power rates for the (a) overall test statistic/fit indices, and (b) change in test statistic/fit indices. Data were generated according to a multiple-group single-factor CFA model across 40 conditions that varied by sample size, strength of item factor loadings, and categorization thresholds. Seven different combinations of model estimators (ML, Yuan-Bentler scaled ML, and WLSMV) and specified measurement scales (continuous, censored, and categorical) were used to analyze each of the simulation conditions. As hypothesized, non-normality increased Type I error rates for the continuous scale of measurement and did not affect error rates for the categorical scale of measurement. Maximum likelihood estimation combined with a categorical scale of measurement resulted in more correct statistical conclusions than the other analysis combinations. For the continuous and censored scales of measurement, the Yuan-Bentler scaled ML resulted in more correct conclusions than normal-theory ML. The censored measurement scale did not offer any advantages over the continuous measurement scale. Comparing across fit statistics and indices, the chi-square-based test statistics were preferred over the alternative fit indices, and ΔRMSEA was preferred over ΔCFI. Results from this study should be used to inform the modeling decisions of applied researchers. However, no single analysis combination can be recommended for all situations. Therefore, it is essential that researchers consider the context and purpose of their analyses.

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Petroleum products leaking from under ground storage tanks have raised concerns regarding the quality of ground water resources, The concerns about the environmental behavior and rate of MTBE as an oxygenated additive prompted this iuvestigation to explore the technical characteristics of MTBE in comparison to ETBF. Evaluation of the existing literature suggests that ETBE has more favorable characteristics than MTBE. Findings in this research suggest that ETBE is a technically sound oxygenated octane enhancer, which can help refiners meet specificatios for cleaner burning gasoline.