Policing native pleasures: a colonial history

The moral modality of colonial power is still with us when it comes to the recreation of sexual norms of traditional or feudal society. We can examine the emergent properties of colonial knowledge anew by exploring how the colonial regime's strategic attention of regulating brothels in India differed from the analytic of power Foucault described for sexuality in European society. It turns out that amongst other things, public anxieties about the failure of adaptation by South Asians are incapable of leaving sexuality aside as a key interpretive device for their culture. The British preoccupation with reproducing the dynamics of the bourgeois matrimonial market on foreign soil in the mid‐nineteenth century similarly necessitated a sociological pretext for racial purity. However, the kind of knowledge a typical traveller and employee of the East India Company brought to the Victorian public from his own researches in the brothels and streets of colonial India, which revealed how popular prostitution was as a vice amongst the officer class, was also more than a welcome imaginary relief from Christian morality; it was an alternative vision of modernity.     

Practical Considerations in the Interview and Evaluation of Sexual Offenders

SUMMARY

The evaluation and assessment of sexual offenders is different than any other type of evaluation, and most clinicians are not properly trained to interview this population. This article addresses the clinical and ethical issues particular to the interview, assessment, and evaluation of these types of offenders. It offers both practical information regarding the interview itself, along with an overview of classification systems, paraphilias, and assessment techniques used with this population. In addition, issues related to risk assessment and risk management are also addressed, and an introduction to the use of actuarial risk assessment instruments is provided.     

How to keep Rosie the riveter from contracting VD: A case study of how U.S. social reformers used public relations during World War II

Much of public relations historiography on World War II focuses on the government uses of the function. This study fills a gap in the literature by exploring how a non-governmental organization called the American Social Hygiene Association (ASHA) used persuasion communication efforts to enlist the aid of management, labor, and local communities in the United States in the control of venereal disease (VD) rates. The case study advances a more diverse understanding of how activists have utilized public relations and found that the social reformers’ use of persuasive communications strategies and activities aligned with the view of public relations as the strategic and intentional participation in the social construction of meaning to achieve a planned outcome.     

Sampling design proportional to order statistic of auxiliary variable

The sampling designs dependent on sample moments of auxiliary variables are well known. Lahiri (Bull Int Stat Inst 33:133–140, 1951) considered a sampling design proportionate to a sample mean of an auxiliary variable. Sing and Srivastava (Biometrika 67(1):205–209, 1980) proposed the sampling design proportionate to a sample variance while Wywiał (J Indian Stat Assoc 37:73–87, 1999) a sampling design proportionate to a sample generalized variance of auxiliary variables. Some other sampling designs dependent on moments of an auxiliary variable were considered e.g. in Wywiał (Some contributions to multivariate methods in, survey sampling. Katowice University of Economics, Katowice, 2003a); Stat Transit 4(5):779–798, 2000) where accuracy of some sampling strategies were compared, too.These sampling designs cannot be useful in the case when there are some censored observations of the auxiliary variable. Moreover, they can be much too sensitive to outliers observations. In these cases the sampling design proportionate to the order statistic of an auxiliary variable can be more useful. That is why such an unequal probability sampling design is proposed here. Its particular cases as well as its conditional version are considered, too. The sampling scheme implementing this sampling design is proposed. The inclusion probabilities of the first and second orders were evaluated. The well known Horvitz–Thompson estimator is taken into account. A ratio estimator dependent on an order statistic is constructed. It is similar to the well known ratio estimator based on the population and sample means. Moreover, it is an unbiased estimator of the population mean when the sample is drawn according to the proposed sampling design dependent on the appropriate order statistic.     

Bayesian Estimation and Model Choice in Item Response Models

Item response models are essential tools for analyzing results from many educational and psychological tests. Such models are used to quantify the probability of correct response as a function of unobserved examinee ability and other parameters explaining the difficulty and the discriminatory power of the questions in the test. Some of these models also incorporate a threshold parameter for the probability of the correct response to account for the effect of guessing the correct answer in multiple choice type tests. In this article we consider fitting of such models using the Gibbs sampler. A data augmentation method to analyze a normal-ogive model incorporating a threshold guessing parameter is introduced and compared with a Metropolis-Hastings sampling method. The proposed method is an order of magnitude more efficient than the existing method. Another objective of this paper is to develop Bayesian model choice techniques for model discrimination. A predictive approach based on a variant of the Bayes factor is used and compared with another decision theoretic method which minimizes an expected loss function on the predictive space. A classical model choice technique based on a modified likelihood ratio test statistic is shown as one component of the second criterion. As a consequence the Bayesian methods proposed in this paper are contrasted with the classical approach based on the likelihood ratio test. Several examples are given to illustrate the methods.     

Noninformative priors for the normal variance ratio

In this paper, we consider noninformative priors for the ratio of variances in two normal populations. We develop first and second order matching priors. We find that the second order matching prior matches alternative coverage probabilities up to the second order and is also a HPD matching prior. It turns out that among the reference priors, only one-at-a-time reference prior satisfies a second order matching criterion. Our simulation study indicates that the one-at-a-time reference prior performs better than other reference priors in terms of matching the target coverage probabilities in a frequentist sense. This work is supported by Korea Research Foundation Grant (KRF-2004-002-C00041).     

Frequency domain bootstrap for ratio statistics under long-range dependence

A frequency domain bootstrap (FDB) is a common technique to apply Efron’s independent and identically distributed resampling technique (Efron, 1979) to periodogram ordinates – especially normalized periodogram ordinates – by using spectral density estimates. The FDB method is applicable to several classes of statistics, such as estimators of the normalized spectral mean, the autocorrelation (but not autocovariance), the normalized spectral density function, and Whittle parameters. While this FDB method has been extensively studied with respect to short-range dependent time processes, there is a dearth of research on its use with long-range dependent time processes. Therefore, we propose an FDB methodology for ratio statistics under long-range dependence, using semi- and nonparametric spectral density estimates as a normalizing factor. It is shown that the FDB approximation allows for valid distribution estimation for a broad class of stationary, long-range (or short-range) dependent linear processes, without any stringent assumptions on the distribution of the underlying process. The results of a large simulation study show that the FDB approximation using a semi- or nonparametric spectral density estimator is often robust for various values of a long-memory parameter reflecting magnitude of dependence. We apply the proposed procedure to two data examples.     

In Search of the Optimum Harvey Wallbanger Recipe via Mixture Experiment Techniques

A Harvey Wallbanger is an alcoholic drink composed of three ingredients: orange juice, vodka, and Galliano. One of the authors (Sahrmann), a connoisseur of the libation, was perplexed upon discovering that different bartender handbooks listed different recipes for the drink. Determined to shed some light on this irksome problem, he issued invitations for an evening workshop session (party) to former and current attendees of an experimental-design training course taught within his company. A mixture experiment was designed and data collected using the class participants. This article describes the experimental design and the analysis of the data. The results of the experiment indicate that reducing the proportion of vodka produces better-flavored drinks. The results of the experiment were not entirely conclusive, however, so recommendations are made for future experimentation.     

Variables related to maternal satisfaction with intrapartum care in Northern Italy

BackgroundThe experience of labour and birth is complex, multidimensional and subjective and has the potential to affect the women and their families physically and emotionally. However, there is a lack of research around maternal satisfaction in Italy.AimTo evaluate mothers’ satisfaction with their childbirth experience in relation to socio-demographic characteristics, obstetric history and intrapartum care variables.MethodsA cross-sectional study involving 277 women who had given birth in a low risk maternity unit in Northern Italy was undertaken. Satisfaction with birth was measured using the Italian version of the Birth Satisfaction Scale-Revised (I-BSS-R). The scale comprises three Sub-Scales: quality of care provided, personal attributes of women and stress experienced during childbirth.FindingsNo socio-demographic variables were related to maternal satisfaction. Multiparous women had a higher satisfaction score (p = 0.020; CI:0.23;2.75). Antenatal class attendance was negatively associated with maternal satisfaction (p = 0.038; CI:−2.58; −0.07). Intrapartum variables that significantly reduced maternal satisfaction were: epidural usage (p = 0.000; CI:−4.66; −2.07), active phase >12 h (p = 0.000; CI:−6.01; −2.63), oxytocin administration (p = 0.000; CI:−5.08; −2.29) and vacuum assisted birth (p = 0.001; CI:−6.50; −1.58). Women with an intact perineum were more likely to be satisfied (p = 0.008; CI:−4.60; −0.69).DiscussionIn accordance with other research, we showed that intrapartum interventions are negatively associated with maternal outcomes and therefore also with maternal satisfaction with birth. The sub-scale that measured Quality of Care provided scored higher than the other two Sub-Scales.ConclusionFurther studies on maternal satisfaction in Italy should be conducted, using the I-BSS-R with the aim to compare outcomes and understand what matters to women during childbirth.