TOWARDS A POSTMODERN CONCEPTION OF METAPHYSICS: ON THE GENEALOGY AND SUCCESSOR DISCIPLINES OF MODERN PHILOSOPHY

Postmodernism in philosophy holds that traditional philosophy has come (or should come) to an end, and that it must be succeeded by something else, such as "thinking" (Heidegger), empirical science (Quine), linguistic therapy (Wittgenstein), or an "attempt to prevent the conversation of the West from attaining the secure path of science" (Rorty). Clearly, the claim to be postmodern presupposes a view of traditional philosophy, of its characteristics, and of its genesis. In this essay, such a view will be developed, and its consequences for our conception of philosophy will be discussed. The view defended here is different from those of Heidegger and Rorty. For ease of exposition the discussion will refer to Rorty's Philosophy and the Mirror of Nature.     

Composing and Revising a Counselor's Narrative

In exploring his narrative as counselor, this author was led to new growth and insights. Defining the counselor's narrative may be an important supplement to client narrative therapy.     

UNDERSTANDING THE IMPACT OF TEST VALIDITY AND BIAS ON SELECTION ERRORS AND ADVERSE IMPACT IN HUMAN RESOURCE SELECTION

We propose an integrative framework for understanding the relationship among 4 closely related issues in human resource (HR) selection: test validity, test bias, selection errors, and adverse impact. One byproduct of our integrative approach is the concept of a previously undocumented source of selection errors we call bias‐based selection errors (i.e., errors that arise from using a biased test as if it were unbiased). Our integrative framework provides researchers and practitioners with a unique tool that generates numerical answers to questions such as the following: What are the anticipated consequences for bias‐based selection errors of various degrees of test validity and test bias? What are the anticipated consequences for adverse impact of various degrees of test validity and test bias? From a theory point of view, our framework provides a more complete picture of the selection process by integrating 4 key concepts that have not been examined simultaneously thus far. From a practical point of view, our framework provides test developers, employers, and policy makers a broader perspective and new insights regarding practical consequences associated with various selection systems that vary on their degree of validity and bias. We present a computer program available online to perform all needed calculations.     

ESTIMATION OF SAMPLING VARIANCE OF CORRELATIONS IN META-ANALYSIS

Monte Carlo simulations were conducted to compare the performance of the traditional (Fisher, 1954) and mean (Hunter & Schmidt, 1990) estimators of the sampling variance of correlations in meta-analysis. The mean estimator differs from the traditional estimator in that it uses the mean observed correlation, averaged across studies, in the sampling variance formula. The simulations investigated the homogeneous (i.e., no true correlation variance across studies) and heterogeneous case (i.e., true correlation variance across studies). Results reveal that, compared to the traditional estimator, the mean estimator provides less negatively biased estimates of sampling variance in the homogeneous and heterogeneous cases and more positively biased estimates in the heterogenous case. Thus, results support the use of the mean estimator unless strong, theory-based hypotheses regarding moderating effects exist.     

PHILOSOPHICAL THEORIES OF PRIVACY: IMPLICATIONS FOR AN ADEQUATE ONLINE PRIVACY POLICY

Abstract: This essay critically examines some classic philosophical and legal theories of privacy, organized into four categories: the nonintrusion, seclusion, limitation, and control theories of privacy. Although each theory includes one or more important insights regarding the concept of privacy, I argue that each falls short of providing an adequate account of privacy. I then examine and defend a theory of privacy that incorporates elements of the classic theories into one unified theory: the Restricted Access/Limited Control (RALC) theory of privacy. Using an example involving data‐mining technology on the Internet, I show how RALC can help us to frame an online privacy policy that is sufficiently comprehensive in scope to address a wide range of privacy concerns that arise in connection with computers and information technology.     

THE BEST AND THE REST: REVISITING THE NORM OF NORMALITY OF INDIVIDUAL PERFORMANCE

We revisit a long‐held assumption in human resource management, organizational behavior, and industrial and organizational psychology that individual performance follows a Gaussian (normal) distribution. We conducted 5 studies involving 198 samples including 633,263 researchers, entertainers, politicians, and amateur and professional athletes. Results are remarkably consistent across industries, types of jobs, types of performance measures, and time frames and indicate that individual performance is not normally distributed—instead, it follows a Paretian (power law) distribution. Assuming normality of individual performance can lead to misspecified theories and misleading practices. Thus, our results have implications for all theories and applications that directly or indirectly address the performance of individual workers including performance measurement and management, utility analysis in preemployment testing and training and development, personnel selection, leadership, and the prediction of performance, among others.