Perceived Stepparent–Child Relationship Quality: A Systematic Review of Stepchildren's Perspectives

Stepfamily scholars have emphasized the importance of including stepchildren in the analysis and discussion of stepfamily life. This systematic review synthesized recent research examining predictors/correlates of stepparent–child relationship quality from the viewpoint of stepchildren in the United States. Five bibliographic databases were searched, resulting in 631 potentially relevant studies for review. Manual searches of three prominent family studies journals were also conducted. Screening and eligibility assessment based on a priori inclusion criteria yielded a final sample of 23 studies, including published studies and reports found in the “gray” literature. Significant predictors/correlates associated with stepchildren's perceptions of stepparent–child relationship quality were grouped into the following conceptual domains: individual characteristics, family characteristics, features of (step)parent–child interactions, and stepcouple dynamics. Limitations, implications, and future research directions are discussed.     

PERSPECTIVES OF INTERRACIAL DATING AT A PREDOMINANTLY WHITE UNIVERSITY

This study examined the viewpoints and experiences of college students with regard to interracial dating. Thirty-five black students and 35 white students in attendance at a predominantly white university participated in face-to-face interviews. Black men and white women expressed more favorable attitudes toward interracial dating compared with black women and white men. Some white females downplayed the significance of interracial relationships, going so far as to suggest it is a nonissue, apparently unaware that it is an issue of concern to many students, especially black females. The concept of white privilege is discussed as an explanation for white students' perspectives. Students who dated interracially faced social consequences, including negative reactions from peers and family members. Findings reveal that the dating landscape differs for students based on their race and gender. In particular, the dating pool appears to be limited for black females at the institution under study.     

Why Do They Leave? Factors Associated With Job Termination Among Personal Assistant Workers in Home Care

Recruiting and retaining an adequate number of personal support workers in home care is both challenging and essential to allowing elders to age in place. A mixed-method, longitudinal study examined turnover in a sample of 261 personal support workers in Maine; 70 workers (26.8%) left their employment in the first year of the study. Logistic regression analysis indicated that younger age and lack of health insurance were significant predictors of turnover. Analysis of telephone interviews revealed three overarching themes related to termination: job not worthwhile, personal reasons, and burnout. Implications of study findings for gerontological social workers are outlined.     

Leadership research and cognitive neuroscience: The state of this union

Advances in cognitive neuroscience and other approaches to understanding human behavior from a biological standpoint are only now beginning to filter into leadership research. The purpose of this introduction to the Leadership Quarterly Special Issue on the Biology of Leadership is to outline the organizational cognitive neuroscience approach to leadership research, and show how such an approach can fruitfully inform both leadership and neuroscientific research. Indeed, we advance the view that the further application of cognitive neuroscientific techniques to leadership research will pay great dividends in our understanding of effective leadership behaviors and as such, a future symbiosis between the two fields is a necessity.     

A general method of constructing E(s2)-optimal supersaturated designs

There has been much recent interest in supersaturated designs and their application in factor screening experiments. Supersaturated designs have mainly been constructed by using the E ( s ²)-optimality criterion originally proposed by Booth and Cox in 1962. However, until now E ( s ²)-optimal designs have only been established with certainty for n experimental runs when the number of factors m is a multiple of n-1 , and in adjacent cases where m = q ( n -1) + r (| r | 2, q an integer). A method of constructing E ( s ²)-optimal designs is presented which allows a reasonably complete solution to be found for various numbers of runs n including n ,=8 12, 16, 20, 24, 32, 40, 48, 64.     

Continuous outcomes stochastically mismeasured as discrete random variables: a maximum likelihood approach

In an economic model of retirement behavior, a continuous dependent variable was required; the variable could only be estimated discretely with error, however. Parameter estimates using this dependent variable and ordinary least squares regression are inefficient. In th is paper, we develop a maximum likelihood procedure which adjusts for this heteroscedasticity.     

Assessing accuracy of a continuous screening test in the presence of verification bias

Summary.  In studies to assess the accuracy of a screening test, often definitive disease assessment is too invasive or expensive to be ascertained on all the study subjects. Although it may be more ethical or cost effective to ascertain the true disease status with a higher rate in study subjects where the screening test or additional information is suggestive of disease, estimates of accuracy can be biased in a study with such a design. This bias is known as verification bias. Verification bias correction methods that accommodate screening tests with binary or ordinal responses have been developed; however, no verification bias correction methods exist for tests with continuous results. We propose and compare imputation and reweighting bias-corrected estimators of true and false positive rates, receiver operating characteristic curves and area under the receiver operating characteristic curve for continuous tests. Distribution theory and simulation studies are used to compare the proposed estimators with respect to bias, relative efficiency and robustness to model misspecification. The bias correction estimators proposed are applied to data from a study of screening tests for neonatal hearing loss.     

Bayesian prediction of waiting times in stochastic models

The authors show how saddlepoint techniques lead to highly accurate approximations for Bayesian predictive densities and cumulative distribution functions in stochastic model settings where the prior is tractable, but not necessarily the likelihood or the predictand distribution. They consider more specifically models involving predictions associated with waiting times for semi‐Markov processes whose distributions are indexed by an unknown parameter θ. Bayesian prediction for such processes when they are not stationary is also addressed and the inverse‐Gaussian based saddlepoint approximation of Wood, Booth & Butler (1993) is shown to accurately deal with the nonstationarity whereas the normal‐based Lugannani & Rice (1980) approximation cannot, Their methods are illustrated by predicting various waiting times associated with M/M/q and M/G/1 queues. They also discuss modifications to the matrix renewal theory needed for computing the moment generating functions that are used in the saddlepoint methods.