Commentary on “Critical Flaws in the FSFI and IIEF”

This invited commentary responds to recent criticisms of two validated and widely used sexual function questionnaires, the Female Sexual Function Index (FSFI) and the International Index of Erectile Function (IIEF) (Forbes, Baillie, &; Schniering, 2014 Forbes , M. K. , Baillie , A. J. , &; Schniering , C. A. ( 2014 ). Critical flaws in the Female Sexual Function Index and the International Index of Erectile Function . Journal of Sex Research , 51 , 485 – 491 . doi: 10.1080/00224499.2013.876607 [Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). We take issue with the conceptual arguments presented, selective review of published literature on both instruments, and conclusions drawn from methodologically flawed findings from an Internet-based study in a nonrepresentative group of Australian men and women. Alternative perspectives on the IIEF and FSFI are presented.     

Father's Incarceration and Youth Delinquency and Depression: Examining Differences by Race and Ethnicity

This article examines associations between biological father's incarceration and internalizing and externalizing outcomes of depression and serious delinquency, across White, Black, and Hispanic subsamples of youth in the National Longitudinal Study of Adolescent Health. Among respondents whose father was first incarcerated during childhood or adolescence, father's incarceration is found to be associated with increased depression and delinquency. On the whole, results indicate that associations between father's incarceration and depression and delinquency do not vary by race and ethnicity or gender. One exception is among Hispanic respondents, for whom having a biological father incarcerated is associated with an even higher propensity of delinquency than among White and Black respondents with incarcerated fathers.     

Suicide,Religion, and Latinos: A Macrolevel Study of U.S. Latino Suicide Rates

Since the publication of Durkheim's Suicide more than a century ago, researchers have been examining the relationship between religion and suicide, and race/ethnicity and suicide. However, no study has examined how religion influences U.S. Latino suicide rates. This study fills a gap in the literature by applying three competing theses to the study of Latino suicide. Results show that (1) religious contextual variables significantly affect Latino suicide rates, (2) U.S.‐born Latinos benefit from religious communities, regardless of denomination or measurement used, and (3) foreign‐born Latinos only benefit from Catholic adherents and homogeneity.     

A Problematic Test of the Kin Selection Hypothesis Among the Urak-Lawoi of Ko Lipe,Thailand: Commentary on Camperio Ciani,Battaglia, and Liotta (2015)

Camperio Ciani et al. argued that the Urak-Lawoi people of Ko Lipe island live in a “traditional,” “subsistence primitive society” reminiscent of the “ancestral” human past and that their socio-cultural situation is “remarkably similar” to Samoa. On this basis, they asserted that the Ko Lipe Urak-Lawoi are an appropriate population for determining the role that kin selection played in the evolution of male androphilia. The purpose of this commentary is to outline some of our concerns with this characterization and with the statistical analyses conducted by Camperio Ciani et al. in their study of the Urak-Lawoi.     

Education CREATIVE THINKING AND INNOVATIVE EDUCATION IN THE DECISION SCIENCES

Creative problem solving is seldom addressed directly in the decision sciences literature. The first half of this paper reviews current thinking about creativity and its educational importance. The remainder addresses creative problem-solving processes and, in particular, the process developed by Parnes, Noller and Biondi [24] and Osborn [23]. This process has been integrated into an OR/MS problem-solving course which is described. Conclusions and implications for decision sciences education and practice in general are discussed.     

EMPIRICAL AND JUDGMENT-BASED SALES-FORCE DECISION MODELS: A COMPARATIVE ANALYSIS*

Multiple-predictor empirical and single-predictor judgment-based models represent the two basic types of sales-force decision models (SDMs). The important similarities and differences between the two modeling approaches are identified and discussed. The SDM literature is reviewed to determine how each model type has been applied and to evaluate previous attempts at model validation. A research study designed to compare the normative sales-call allocations generated from each modeling approach is presented. Study results indicate that empirical and judgment-based SDMs would produce similar normative guidelines. The implications of this finding are discussed.     

Measure for measure: evaluating performance and the arts organisation

This paper discusses the cultural policy and impacts of the application of performance indicators to subsidised arts organisations in Britain. The context of this study is the increased accountability and measurement of the outputs of arts organisations by government funding agencies, and the related drive for improved productivity and efficiency. In an extension of performance measurement regimes in ‘public good’ provision, and the arguments concerning economic importance of the cultural industries, the performing arts occupy an uncomfortable place as a pre-industrial activity being subjected to notions of economic efficiency. This discussion concerns the focus for analysis of the measurements used – the three-Es of economy, efficiency and effectiveness - and the rationale underlying their imposition. The outputs and performance indicators of the major subsidised arts organisations are then presented, based on a ten year time series, revealing declining audiences and production, but increasing ticket prices and expenditure, which arguably undermines the performing arts ‘merit good’ status.     

Distribution theory and inference for polynomial-normal densities

This paper considers a class of densities formed by taking the product of nonnegative polynomials and normal densities. These densities provide a rich class of distributions that can be used in modelling when faced with non-normal characteristics such as skewness and multimodality. In this paper we address inferential and computational issues arising in the practical implementation of this parametric family in the context of the linear model. Exact results are recorded for the conditional analysis of location-scale models and an importance sampling algorithm is developed for the implementation of a conditional analysis for the general linear model when using polynomial-normal distributions for the error.     

Maximum likelihood estimation of variance components in a completely random bib design

ABSTRACT

The purposes of this paper are to abstract from a number of articles variance component estimation procedures which can be used for completely random balanced incomplete block designs, to develop an iterated least squares (ITLS) computing algorithm for calculating maximum likelihood estimates, and to compare these procedures by use of simulated experiments. Based on the simulated experiments, the estimated mean square errors of the ITLS estimates are generally less than*those for previously proposed analysis of variance and symmetric sums estimators.