Applying the transtheoretical model to female and male perpetrators of intimate partner violence: gender differences in stages and processes of change

The Transtheoretical Model has been recently applied to men seeking services at battering intervention and prevention programs (Eckhardt, Babcock, & Homack, 2004; Murphy & Baxter, 1997). This study considers whether women arrested for intimate partner violence differ from male perpetrators in terms of stages of change and processes of change. No gender differences were found regarding stage of change. In general, all individuals presenting for treatment were in the early stages of change. The use of various processes of change was strongly related to stage of change, with individuals in the more advanced stages of change using more behavioral and experiential strategies to become nonviolent. However, except for the use of social liberation strategies, there were no gender differences in the use of the various processes. These findings suggest that the Transtheoretical Model may apply to female perpetrators equally as well as to male perpetrators. Intervention programs designed for male batterers using the Transtheoretical Model may also be helpful in the treatment of women arrested for domestic violence.     

Casino gambling in private school and adjudicated youngsters: A survey of practices and related variables

This study provides additional information about casino gambling practices in two adolescent samples. Specifically, 109 adolescents from a religious high school and 84 adolescents from a juvenile detention facility in Las Vegas, Nevada were surveyed. Of these, 71 (36.8%) were found to gamble regularly (58 males, 13 females, mean age 15.9 years). Results indicated many similarities among the two groups. The overall sample appeared to have a strong affinity for casino gambling, were diverse in their practices and reasons for gambling, reported a variety of emotional and physiological behaviors when gambling, occasionally experienced problems from casino gambling, and had parents who generally approved and were aware of their children's gambling behavior. The accessibility and family-oriented nature of many new casinos may be responsible for these effects.The authors thank Nicole Giangregorio and Ned C. Silver for their assistance. Portions of this paper were presented at the meeting of the Rocky Mountain Psychological Association, Boulder, CO.     

Combining an Internal Pilot with an Interim Analysis for Single Degree of Freedom Tests

An internal pilot with interim analysis (IPIA) design combines interim power analysis (an internal pilot) with interim data analysis (two-stage group sequential). We provide IPIA methods for single df hypotheses within the Gaussian general linear model, including one and two group t tests. The design allows early stopping for efficacy and futility while also re-estimating sample size based on an interim variance estimate. Study planning in small samples requires the exact and computable forms reported here. The formulation gives fast and accurate calculations of power, Type I error rate, and expected sample size.     

On the Use of a Log-Rate Model for Survey-Weighted Categorical Data

For the analysis of survey-weighted categorical data, one recommended method of analysis is a log-rate model. For each cell in a contingency table, the survey weights are averaged across subjects and incorporated into an offset for a loglinear model. Supposedly, one can then proceed with the analysis of unweighted observed cell counts. We provide theoretical and simulation-based evidence to show that the log-rate analysis is not an effective statistical analysis method and should not be used in general. The root of the problem is in its failure to properly account for variability in the individual weights within cells of a contingency table. This results in goodness-of-fit tests that have higher-than-nominal error rates and confidence intervals for odds ratios that have lower-than-nominal coverage.     

Equal probability of correct selection for bernoulli selection procedures

The problem of selecting the Bernoulli population which has the highest "success" probability is considered. It has been noted in several articles that the probability of a correct selection is the same, uniformly in the Bernoulli p-vector (P1,P2,….,Pk), for two or more different selection procedures. We give a general theorem which explains this phenomenon.

An application of particular interest arises when "strong" curtailment of a single-stage procedure (as introduced by Bechhofer and Kulkarni (1982a) )is employed; the corresponding result for "weak" curtailment of a single-stage procedure needs no proof. The use of strong curtailment in place of weak curtailment requires no more (and usually many less) observations to achieve the same.     

Correlation is first order independent of transformation

We show that the correlation between the estimates of two parameters is almost unchanged if they are each transformed in an arbitrary way. To be more specific, the correlation of two estimates is invariant (except for a possible sign change) up to a first order approximation, to smooth transformations of the estimates. There is a sign change if exactly one of the transformations is decreasing in a neighborhood of its parameter. In addition, we approximate the variance, covariance and correlation between functions of sample means and moments.     

Fiddling while the planet burns? COP25 in perspective

ABSTRACT

With fires, storms, social protests, and climate strikes sweeping the world, 2019 should have been a tipping point in how the world responds to global heating. This was the backdrop to the COP25 climate change summit which took place in Madrid in December 2019. This paper assesses the outcomes of the meeting and the path towards the critically important meeting in Glasgow at the end of 2020. It analyses and explains the key points of contention over levels of ambition, the rules which should govern global carbon markets and sensitive issues such as loss and damage associated with the impacts of climate change. The analysis is situated within a broader geopolitical and economic context of right-wing populism, deepening forms of marketization and financialization of responses to climate change and against a background of a world increasingly feeling the effects of the climate crisis.     

Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science

ABSTRACT

Scientific research of all kinds should be guided by statistical thinking: in the design and conduct of the study, in the disciplined exploration and enlightened display of the data, and to avoid statistical pitfalls in the interpretation of the results. However, formal, probability-based statistical inference should play no role in most scientific research, which is inherently exploratory, requiring flexible methods of analysis that inherently risk overfitting. The nature of exploratory work is that data are used to help guide model choice, and under these circumstances, uncertainty cannot be precisely quantified, because of the inevitable model selection bias that results. To be valid, statistical inference should be restricted to situations where the study design and analysis plan are specified prior to data collection. Exploratory data analysis provides the flexibility needed for most other situations, including statistical methods that are regularized, robust, or nonparametric. Of course, no individual statistical analysis should be considered sufficient to establish scientific validity: research requires many sets of data along many lines of evidence, with a watchfulness for systematic error. Replicating and predicting findings in new data and new settings is a stronger way of validating claims than blessing results from an isolated study with statistical inferences.     

Disability, Eugenics and the Current Ideology of Segregation: a modern moral tale

Recently, an amalgamation of articles have appeared in a wide range of publications linking together community and school inclusion, and facilitated communication research as an unholy trinity of anti-empiricism eroding the disability fields. The authors of these critiques suggest that there exists a scientific basis for state institutions, segregated learning and a non-critical acceptance of traditional interpretations of expressive ability on the part of people with disabilities. In this article we expose not science, but an ideology of segregated control behind these claims. This ideology permeates the disabilityrelated professions and is cloaked in the language of the natural sciences. We trace this use of the natural sciences to the eugenics movement of the early twentieth century and explore the legacy of the ideology of control as it impacts current understanding of disability.