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A reduction in the potential for the occurrence and effect of confounding factors can be obtained by increasing the types and numbers of comparisons performed in an analysis. If measures or manipulations of core constructs are confounded (i.e. operational or procedural confounds exist), subgroup analysis may not reveal problems in the analysis.
Business ethics operates on the premise, for example, that the ethical operation of a private business is possible—those who dispute that premise, such as libertarian socialists (who contend that "business ethics" is an oxymoron) do so by definition outside of the domain of business ethics proper. [citation needed]
Strasnick, T. (1981) "Neo-utilitarian Ethics and the Ordinal Representation Assumption", in Philosophy in economics, edited by J. Pitt, Reidel Publishing. Luetge C., ed. 2013, Handbook of the Philosophical Foundations of Business Ethics. Heidelberg/New York: Springer, ISBN 978-9400714953
In business ethics, Ethical decision-making is the study of the process of making decisions that engender trust, and thus indicate responsibility, fairness and caring to an individual. To be ethical, one has to demonstrate respect, and responsibility. [ 1 ]
A cohort study is a particular form of longitudinal study that samples a cohort (a group of people who share a defining characteristic, typically those who experienced a common event in a selected period, such as birth or graduation), performing a cross-section at intervals through time.
Thomas Donaldson is The Mark O. Winkelman Professor of Legal Studies & Business Ethics at the Wharton School at the University of Pennsylvania. He is an expert in the areas of business ethics, corporate compliance, corporate governance, and leadership. [1] He is Associate Editor for the Business Ethics Quarterly (2015-).
Rep. Alexandria Ocasio-Cortez announced on Friday that she is jumping into the race to be the top Democrat on the influential House Oversight Committee. The New York Democrat wrote in a letter to ...
In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable can no longer act as a confounder in, for example, an observational study or experiment.