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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Reforming Recusal Rules: Reassessing The Presumption Of Judicial Impartiality In Light Of The Realities Of Judging And Changing The Substance Of Disqualification Standards To Eliminate Cognitive Errors, Melinda A. Marbes
St. Mary's Journal on Legal Malpractice & Ethics
In recent years, high profile disqualification disputes have caught the attention of the public. In each instance there has been an outcry when a presiding jurist was asked to recuse but declined. Unfortunately, even if the jurist explains his refusal to recuse, the reasons given often are unsatisfying and do little to quell suspicions of bias. Instead, litigants, the press, and the public question whether the jurist actually is unbiased and doubt the impartiality of the judiciary as a whole. This negative reaction to refusals to recuse is caused, at least in part, by politically charged circumstances that cause further …
Toward A Framework For Interfaith Leadership, Barbara A. Mcgraw
Toward A Framework For Interfaith Leadership, Barbara A. Mcgraw
Engaging Pedagogies in Catholic Higher Education (EPiCHE)
Today there is a need for a vision of the world that takes account of religious, spiritual, and non-faith orientations in a way that promotes cooperation and resolves conflict. Educational programs that employ this article’s proposed four-dimensional interfaith leadership framework can contribute to that vision. Through dialogue for understanding and compassion, lens bias reflection and cognitive-affective frame-shifting, religious literacy, and leadership theory and practice, students can become socially conscious leaders who effect positive change in religiously diverse environments. This interfaith leadership framework is especially salient for Catholic institutions of higher education, but is readily extendable for use in other institutions.
Effective Estimation Strategy Of Finite Population Variance Using Multi-Auxiliary Variables In Double Sampling, Reba Maji, G. N. Singh, Arnab Bandyopadhyay
Effective Estimation Strategy Of Finite Population Variance Using Multi-Auxiliary Variables In Double Sampling, Reba Maji, G. N. Singh, Arnab Bandyopadhyay
Journal of Modern Applied Statistical Methods
Estimation of population variance in two-phase (double) sampling is considered using information on multiple auxiliary variables. An unbiased estimator is proposed and its properties are studied under two different structures. The superiority of the suggested estimator over some contemporary estimators of population variance was established through empirical studies from a natural and an artificially generated dataset.