The Relationship Between Religious and Spiritual Factors and the Perpetration of Intimate Personal Violence

Despite some understanding of general correlates and possible antecedents to intimate partner violence (IPV) within the Christian community, the impact of religious and spiritual factors tends to be confounded by other factors and is often misjudged. Archival data from Wave III of the National Longitudinal Study of Adolescent Health (Add Health) were used to examine the impact of nine religious and spiritual factors on the probability of IPV perpetration by males, aged 18 to 26, who nominally classified themselves as Catholic, Protestant, or Christian. Logistic regression results indicated that IPV perpetration could not be adequately predicted from the religious and spiritual factors. Given the geographic breadth and the size of the Add Health sample, no finding of a predictive model for Christian male-perpetrated IPV challenges the paradigm that religious and spiritual factors should be overtly addressed in faith-based batterers’ programs targeting young adult males.     

The judicial role in life-sustaining medical treatment decisions.

Although there has been speculation regarding the pervasiveness and nature of judicial decisions regarding life-sustaining medical treatment (LSMT), no attempt has been made to empirically assess their prevalence or the issues they address. An exploratory study utilizing a mail survey of a nationwide random sample (N = 905) of state trial court judges was conducted to provide initial information regarding this decision-making process. Twenty-two percent of the responding judges had heard at least one LSMT case, and judicial review did not appear endemic to particular states. The number of judges hearing LSMT cases dropped from 1975 to 1981 but has increased since then. Three major issues predominate: patient competency, appointment of a surrogate decisionmaker, and resolution of the ultimate issue of forgoing LSMT. Relatively few cases either contested a prior directive's validity or involved imposing sanctions for instituting or forgoing LSMT. Although subject to different interpretations, the results suggest the courts are having a significant impact on certain aspects of the LSMT decision-making process. However, the infrequency with which any one judge is called upon to make an LSMT decision causes concern about the judiciary's ability to respond in a timely and appropriate manner. With their potential for a profound effect on the actions of health care providers, greater attention to this decision-making process is warranted.     

The Australian Welfare State: Has Federalism Made a Difference?

This paper examines the historical development of the Australian welfare state with a view to identifying the role that Australia's federal constitutional arrangements have played in shaping that development. Theoretical paradigms have been unanimous in their prognoses: that federal states are likely to be slow in developing welfare state programmes and typically spend less on them than unitary states. But recently it has been argued that federal institutions may have a “ratchet effect” of slowing down the pace of change, irrespective of its direction. The purpose of this chronological account of significant stages in the development of the Australian welfare state is to use the unfolding of historical events — far too rich in nuance and detail to be captured in quantitative modelling — as a test‐bed for establishing whether, and, if so, to what extent, federalism has impacted on the trajectory of Australian welfare state development.     

The effect of various stain carriers on the quality and quantity of DNA extracted from dried bloodstains

Bloodstains were made with 200 microliters blood on each of 11 different common substrates to examine the effect of the stain carrier on the amount and quality of DNA recoverable. High-molecular-weight DNA was extracted from all samples after 2 days. The yield of DNA from each sample varied considerably, not only between the different stain carriers but also within a given category. With a DNA yield of up to 10 micrograms, paper, glass, nylon, wood, smooth leather and wool gave the best results, followed by blue denim and wallpaper (up to 6 micrograms), cotton fabric and carpeting (up to 4 micrograms) and suede (up to 2 micrograms). For several stain carriers the DNA-containing solution was contaminated by chemical substances, which in the case of the blue denim, suede, and carpet samples inhibited the digestion of the DNA with restriction enzymes and prevented DNA typing. The different textures of the stain carriers tested and (as for varying yields on the same carrier) the differing degree of loss of DNA during extraction and the physiological variation in the number of leukocytes in human blood are discussed as possible reasons for the wide range of variation in the amounts of DNA it was possible to extract.     

Evolving Market Efficiency with an Application to Some Bulgarian Shares

With new technically advanced methods and computers at our disposal, the efficient market hypothesis is once again being debated. At the same time, we are witnessing an unprecedented growth in both existing and new financial markets. These new markets are often in economies which have just recently embraced free market economics; we term these stock markets infant markets. Such stock markets are obviously not efficient in allocating the supply of savings to productive capital. We do not test whether or not these infant markets are informationally efficient, but instead examine whether and how they are becoming more efficient. We propose modelling the excess returns of individual securities using a multi-factor model with time-varying coefficients and generalised auto-regressive conditional heteroskedastic (GARCH) errors. If the markets are becoming more informationally efficient or the agents are learning, we would expect this to manifest itself as the time-varying coefficients becoming more stable as time increases. We test our model using data on four Bulgarian shares. First, we estimate an AR(2) model and a GARCH-M(1,1) model for the shares. Then, we estimated our AR(2) model with time varying coefficients and GARCH type errors. We find varying levels of efficiency and varying speeds of movement towards efficiency within our sample of four shares.