Affirmative Action in Higher Education: Insults, Preferences, and the Dworkin Defense

This Essay analyzes a particular kind of justification for affirmative action in higher education. Ronald Dworkin, in Taking Rights Seriously, advances the position that the insult felt by victims of discrimination has a pivotal effect on the meaning of the act of discrimination, thus rendering the targets of such discrimination victims, and making the discriminatory act unethical and illegal. Conversely, the absence of such insult to those merely denied benefits by policies of affirmative action renders their objections impotent and makes affirmative action an ethical and lawful policy. In this Essay, I assess the confluence of ethical, legal, and psychological issues in Dworkin\u27s arguments about affirmative action. I argue that Dworkin\u27s defense of affirmative action, using ascriptive characteristics as a consideration in admissions or other awards procedures, is inadequate to demonstrate the justice or constitutionality of the policy, even when used as a remedy for past or continuing discrimination. In assessing Dworkin\u27s psychology and the empirical component of his argument centered on the notion of insult, I attend particularly to the legitimacy of different kinds of preferences and to the question of psychological harm done to the victims of discrimination. Affirmative action is characterized by two features. First, it is a remedial policy, designed to help overcome the legacy of past discrimination and to counter the effects of continuing discrimination on the basis of race or other ascriptive characteristics. Second, it is a discriminatory policy in the sense that, as a means of offering a remedy for wrongful discrimination, it differentially weighs ascriptive characteristics that would otherwise be impermissible to consider in admissions or other award decisions. Affirmative action has taken many forms, from individualized attention to the diversity that an applicant is likely to contribute to a school class because of his or her characteristics, to the formulaic application of a fixed numerical advantage to university applicants of preferred races, to the use of quotas that require a certain percentage distribution of characteristics among a selected population. Most share the feature of using remedial discrimination, discriminating on the basis of characteristics which it would normally be wrong to weigh, and doing so to remedy other wrongs

Replication data for: Harder Than it Looks: Coding Political Knowledge on the ANES

Political knowledge research faces a problem, perhaps even a crisis. For two decades, the American National Election Studies asked open-ended questions about political knowledge and coded answers using procedures that are neither reliable nor replicable and that were never shown to be optimally valid. Consequently, conclusions based on these widely used measures of the public's competence are in doubt. This paper presents several new and overdue methodological improvements: coding knowledge data using formal and specific coding rules based on a substantive rationale for the validity of the codes, recognizing partially correct answers, using multiple coders working independently, using machine coding, and testing reliability and validity. The new methods are an improvement because they are transparent and replicable and they produce valid and extremely reliable knowledge data. Further, machine coding produces codes nearly identical to those from a team of human coders, at much lower cost

Children Living Without Their Fathers: Population Estimates and Indicators of Educational Well-being

Absent fathers, Fatherlessness, Child well-being,

Validating the Genuine Pipeline to Limit Social Desirability Bias in Survey Estimates of Voter Turnout

Archive of replication data and code for "Validating the Genuine Pipeline to Limit Social Desirability Bias in Survey Estimates of Voter Turnout" by DeBell, Hillygus, Shaw, and Valentino. Public Opinion Quarterly