Enriching Research on Marital Enrichment Programs

The existing empirical literature on the outcomes of marital and pre-marital enrichment programs is critically reviewed. While the majority of studies have used untreated control groups and appear to offer very striking evidence of meaningful change as a result of these enrichment experiences, several important methodological deficiencies are common to these investigations and, therefore, require a cautious optimism about the efficacy of these programs. Six specific issues are addressed in an effort to improve the quality and utility of further research and practice in this area.     

Philanthropic styles

The challenge of resource development, particularly among major donors, has led nonprofits to adopt marketing techniques, including market segmentation. The benefit segmentation approach used in this study of the giving motivations of 218 major donors reveals seven philanthropic styles: (1) Communitarians, (2) the Devout, (3) Investors, (4) Socialites, (5) Repayers, (6) Altruists, and (7) Dynasts. Examples of how knowledge of philanthropic styles can aid in nonprofit resource development are provided.     

The office of scientific integrity investigations: The importance of data analysis

Certified Public Accountants serve as independent auditors of financial statements. They perform information‐integrity testing for the economy and society, adding creditability to financial statements prepared by organizations’ management. Investors, creditors, and others rely on these financial statements and the audit report to make business decisions. Auditing work involves gathering evidence (research) and forming an opinion (reporting results) about the “fairness”; of financial statements according to regulatory, legal, and professional rules. As researchers, auditors are subject to a complex network of mechanisms to promote accountability in their work. These mechanisms exist at environmental, professional, and audit‐firm levels. They combine to influence the judgments of individual auditors.     

An Investigation of Quantile Function Estimators Relative to Quantile Confidence Interval Coverage

In this article, we investigate the limitations of traditional quantile function estimators and introduce a new class of quantile function estimators, namely, the semi-parametric tail-extrapolated quantile estimators, which has excellent performance for estimating the extreme tails with finite sample sizes. The smoothed bootstrap and direct density estimation via the characteristic function methods are developed for the estimation of confidence intervals. Through a comprehensive simulation study to compare the confidence interval estimations of various quantile estimators, we discuss the preferred quantile estimator in conjunction with the confidence interval estimation method to use under different circumstances. Data examples are given to illustrate the superiority of the semi-parametric tail-extrapolated quantile estimators. The new class of quantile estimators is obtained by slight modification of traditional quantile estimators, and therefore, should be specifically appealing to researchers in estimating the extreme tails.     

Estimation of functions of the parameters of a normal distribution

Several authors have considered the problem of estimating parameters of a distribution after some fixed Gaussian inducing transformation has been applied to the observations. This paper extends this work to the situation where the observations represent a noisy version of a true process, the parameters of the latter requiring estimation     

An exact density-based empirical likelihood ratio test for paired data

The Wilcoxon rank-sum test and its variants are historically well-known to be very powerful nonparametric decision rules for testing no location difference between two groups given paired data versus a shift alternative. In this title, we propose a new alternative empirical likelihood (EL) ratio approach for testing the equality of marginal distributions given that sampling is from a continuous bivariate population. We show that in various shift alternative scenarios the proposed exact test is superior to the classic nonparametric procedures, which may break down completely or are frequently inferior to the density-based EL ratio test. This is particularly true in the cases where there is a nonconstant shift under the alternative or the data distributions are skewed. An extensive Monte Carlo study shows that the proposed test has excellent operating characteristics. We apply the density-based EL ratio test to analyze real data from two medical studies.     

Book Reviews

The diagnostic tools examined in this article are applicable to regressions estimated with panel data or cross-sectional data drawn from a population with grouped structure. The diagnostic tools considered include (a) tests for the existence of group effects under both fixed and random effects models, (b) checks for outlying groups, and (c) specification tests for comparing the fixed and random effects models. A group-specific counterpart to the studentized residual is introduced. The methods are illustrated using a hedonic housing price regression.     

Concentration Ellipsoids,Their Planes of Support,and the Linear Regression Model

The relationship between the concentration ellipsoid of a random vector and its planes of support is exploited to provide a geometric derivation and interpretation of existing results for a general form of the linear regression model. In particular, the planes of support whose points of tangency to the ellipsoid are contained in the range (or column space) of the design matrix are the source of all linear unbiased minimum variance estimators. The connection between this idea and estimators based on projections is explored, as is also its use in obtaining and interpreting some existing relative efficiency results.