Baseball's emotion work: Getting psyched to play

The problematic nature of sport contests creates a variety of emotions—anxiety, fear, sadness, joy, anger, disgust, frustration, compassion, and embarrassment. The present study uses an interactionist/interpretive investigation of baseball hitters and pitchers (N=21). Data were gathered by analysis of in-depth semistructured interviews with members of a college baseball team. A photo-elicitation interviewing technique was used with videotapes of the players in game situations. Players were asked to respond to the experience of hitting and pitching while observing the videotapes of themselves. The emotional experiences that emerged from the interviews focused on managing and maintaining their emotions within an optimal level of arousal. The players perceive the optimal level of arousal is necessary for a desirable performance.     

Convenience and independence: do physicians strike a balance in admitting decisions?

This paper contrasts economic and professional models of physician admitting behavior. Economic models emphasize physician convenience and income maximization, while professional models emphasize physician autonomy and independence. The paper examines the relative power of these models to explain two types of admitting decisions made by physicians: which hospitals to begin admitting patients to, and how many patients to admit to a hospital. Analyses of physician admitting patterns over a three-year period suggest that economic considerations outweigh professional considerations in both decisions. Results are interpreted in light of recent changes in the profession of medicine and physician-hospital relationships.     

Patterns of labor mobility in a dual economy: The case of semiskilled and unskilled workers

The focus of recent stratification research demonstrates increasing recognition of the structured nature of social inequality. Among the forms these efforts have taken has been the development of a number of models drawing attention to the importance of various labor market decisions or cleavages. The crucial role which restricted labor mobility must play in maintaining these cleavages, while largely untested, has long been recognized. We argue that analysis of the patterns of job sequencing can be used to draw important inferences regarding the existence and character of labor market structures. From this premise, we use job transition data to test a number of propositions derived from dual economy theory, relating to the extent of intersectoral moves and the patterns of intersectoral and intrasectoral moves. Using log-linear methods, we find the hypothesized restricted evidence of intersectoral job shifts and also find patterns of intrasectoral moves indicative of the pervasiveness of rigidly structured internal labor markets in the core. While these results are consistent with a dualistic interpretation, they are equally as consistent with any model emphasizing the existence of strong intrafirm and intraindustry job structures.     

Supportive parenting moderates the effect of discrimination upon anger, hostile view of relationships, and violence among African American boys

Studies have shown that exposure to discrimination increases the probability that African American adolescents will engage in delinquent behavior, especially acts of violence. The present study extended this research by examining the extent to which supportive parenting buffers a youth from these deleterious consequences of discrimination. Analyses based upon two waves of data from a sample of 332 African American adolescent males and their caretakers supported this hypothesis. Further the results indicated that there are two avenues whereby supportive parenting reduces the probability that discrimination will lead to violence. First, supportive parenting decreases the chances that discrimination will lead to anger and a hostile view of relationships. Second, supportive parenting lowers the risk that anger or a hostile view of relationships, when they develop, will result in violence.     

Approximations of the critical region of the fbietkan statistic

The Friedman (1937) test for the randomized complete block design is used to test the hypothesis of no treatment effect among k treatments with b blocks. Difficulty in determination of the size of the critical region for this hypothesis is com¬pounded by the facts that (1) the most recent extension of exact tables for the distribution of the test statistic by Odeh (1977) go up only to the case with k6 and b6, and (2) the usual chi-square approximation is grossly inaccurate for most commonly used combinations of (k,b). The purpose of this paper 2 is to compare two new approximations with the usual x² and F large sample approximations. This work represents an extension to the two-way layout of work done earlier by the authors for the one-way Kruskal-Wallis test statistic.     

A comparison of random balance and two-stage group screening designs: A case study

In this paper we focus on the problem of supersaturated (fewer runs than factors) screening experiments. We consider two major types of designs which have been proposed in this situ¬ation: random balance and two-stage group screening. We discuss the relative merits and demerits of each strategy. In addition, we compare the performance of these strategies by means of a case study in which 100 factors are screened in 20,42,62, and 84 runs.     

Comparison of tests for bivariate symmetry versus location and/or scale alternatives

This paper studies the performance of tests which use a null hypothesis of bivariate symmetry and detect the broad class of location and/or scale alternatives . The conditionally distribution-free tests of Sen (1967) and Hollander (1971) and parametric tests related to those of Bell and Haller (1969) are compared in a Monte Carlo study which also includes a new conditionally distribution-free test.     

Linear models that allow perfect estimation

The general Gauss–Markov model, Y = Xβ + e, E(e) = 0, Cov(e) = σ ² V, has been intensively studied and widely used. Most studies consider covariance matrices V that are nonsingular but we focus on the most difficult case wherein C(X), the column space of X, is not contained in C(V). This forces V to be singular. Under this condition there exist nontrivial linear functions of Q′Xβ that are known with probability 1 (perfectly) where ${C(Q)=C(V)^\perp}$ . To treat ${C(X) \not \subset C(V)}$ , much of the existing literature obtains estimates and tests by replacing V with a pseudo-covariance matrix T = V + XUX′ for some nonnegative definite U such that ${C(X) \subset C(T)}$ , see Christensen (Plane answers to complex questions: the theory of linear models, 2002, Chap. 10). We find it more intuitive to first eliminate what is known about Xβ and then to adjust X while keeping V unchanged. We show that we can decompose β into the sum of two orthogonal parts, β = β ₀ + β ₁, where β ₀ is known. We also show that the unknown component of X β is ${X\beta_1 \equiv \tilde{X} \gamma}$ , where ${C(\tilde{X})=C(X)\cap C(V)}$ . We replace the original model with ${Y-X\beta_0=\tilde{X}\gamma+e}$ , E(e) = 0, ${Cov(e)=\sigma^2V}$ and perform estimation and tests under this new model for which the simplifying assumption ${C(\tilde{X}) \subset C(V)}$ holds. This allows us to focus on the part of that parameters that are not known perfectly. We show that this method provides the usual estimates and tests.