A controlled evaluation of group cognitive therapy in the treatment of irritable bowel syndrome

We randomized, at two sites, 210 patients with Rome II diagnosed irritable bowel syndrome (IBS), of at least moderate severity, to one of three conditions: group-based cognitive therapy (CT; n=120), psychoeducational support groups (n=46) as an active control, or intensive symptom and daily stress monitoring (n=44). One hundred eighty-eight participants completed the initial treatment. Those in symptom monitoring were then crossed over to CT. For an intent to treat analysis on a composite GI symptom measure derived from daily symptom diaries, both CT and the psychoeducational support groups were significantly more improved than those in the intensive symptom monitoring condition, but the CT and psychoeducational support group did not differ. Among treatment completers on the same composite measure of GI symptoms, again, both CT and psychoeducational support groups were statistically superior to symptom monitoring but did not differ on the symptom composite, or on any other measure. On individual IBS symptoms, both CT and psychoeducational support were statistically superior to symptom monitoring on reductions in abdominal pain and tenderness and for flatulence. Patient global ratings at the end of treatment showed the two active conditions statistically superior to symptom monitoring on change in Bowel Regularity, with CT superior to symptom monitoring on reduction in overall pain and in improvement in sense of well-being. Three-month follow-up data on 175 patients revealed maintenance of significant improvement or continued significant improvement on all IBS symptoms, including the McGill Pain Questionnaire. Group CT and psychoeducational support groups continued not to differ on any measure. We thus conclude that group CT is not superior to an attention placebo control condition.     

Reduction of interindividual-intergroup discontinuity: the role of leader accountability and proneness to guilt

Two experiments contrasted interactions between group leaders with interactions between individuals in a mixed-motive setting. Consistent with the idea that being accountable to the in-group implies normative pressure to benefit the in-group, Experiment 1 found that accountable leaders were more competitive than individuals. Consistent with the idea that being unaccountable to the in-group implies normative pressure to be cooperative and that high guilt proneness provides motivation to be moral, Experiment 2 found that when guilt proneness was high, unaccountable leaders were less competitive than accountable leaders and did not differ significantly from individuals. In other words, the robust interindividual-intergroup discontinuity effect was eliminated when groups had unaccountable leaders who were high in guilt proneness.     

Working at the social-clinical-community-criminology interface: The GMU Inmate Study

This paper describes our attempt to import social-personality theory and research on moral emotions and moral cognitions to applied problems of crime, substance abuse, and HIV risk behavior. Thus far, in an inmate sample, we have evidence that criminogenic beliefs and proneness to guilt are each predictive of re-offense after release from jail. In addition, we have evidence that jail programs and services may reduce criminogenic beliefs and enhance adaptive feelings of guilt. As our sample size increases, our next step is to test the full mediational model, examining the degree to which programs and services impact post-release desistance via their effect on moral emotions and cognitions. In addition to highlighting some of the key findings from our longitudinal study of jail inmates over the period of incarceration and post-release, we describe the origins and development of this interdisciplinary project, highlighting the challenges and rewards of such endeavors.     

Change one can believe in: Adding learning to computational models of self-regulation

Theories of self-regulation describe motivation as a dynamic process of goal choice and goal striving. To facilitate those processes, individuals learn about themselves and their environment, which is an internal dynamic process. However, the precise nature of the relationship between these learning and motivational processes is not well specified. This article integrates formal models of learning, goal choice, and goal striving using a single information processing structure found in self-regulatory models of motivation. Results from two published studies ( and ) validate the model. In both cases, the integrated model accounts for findings that previous theories of self-regulation could not explain. Discussion focuses on additional tests to validate the model and on the value of incorporating formal models from the cognitive, learning, and motivational literatures to account for behavior in complex settings and over time.     

The Roles of Semantic and Phonological Information in Word Production: Evidence from Spanish–English Bilinguals

The research investigated the roles of semantic and phonological processing in word production. Spanish–English bilingual individuals produced English target words when cued with definitions that were also written in English. When the correct word was not produced, a secondary task was performed in which participants rated the ease of pronunciation of a Spanish prime word. We varied the relatedness between target and prime words. In related conditions, the target and prime words were cognates (i.e., similar in meaning and sound), false cognates (i.e., similar in sound, but different in meaning), or noncognates (i.e., similar in meaning, but different in sound). In unrelated conditions, target and primes were dissimilar in sound and meaning. The results showed that participants’ performance was influenced by semantic as well as phonological information. These results provided evidence that semantic as well as phonological information can influence word production, as is predicted by memory models in which representations for semantic and phonological levels of representation are interconnected.     

Lessons learned: challenges in applying current constraints on research on chimpanzees to other animals

The Institute of Medicine (IOM) Committee on the Necessity of the Use of Chimpanzees in Biomedical and Behavioral Research made a series of recommendations that, as of an announcement on June 26, 2013, the National Institutes of Health (NIH) is turning into implemented guidelines. Many advocates, including some researchers and scholars, have suggested that the Committee’s recommendations could be applied successfully to other animal species. This article examines, from my perspective as the IOM Committee’s chair, some of the most important features of the Committee’s work, addresses whether chimpanzees represent a special or unique case for the purpose of research policy, and suggests an approach for evaluating the applicability of the Committee’s recommendations for other animal species used in research. I first present my perspective on the features of the Committee’s work that influenced its approach and conclusions. I then argue that despite the fact that chimpanzees represent a somewhat unique case for restricted research use, their case still offers important lessons for policy regarding the use of other species. Finally, I offer some observations regarding the recommendations and implications of the report from the NIH Working Group charged with crafting guidelines for implementing the IOM Committee’s recommendations.     

Fitting correlated residual error structures in nonlinear mixed-effects models using SAS PROC NLMIXED

Nonlinear mixed-effects (NLME) models remain popular among practitioners for analyzing continuous repeated measures data taken on each of a number of individuals when interest centers on characterizing individual-specific change. Within this framework, variation and correlation among the repeated measurements may be partitioned into interindividual variation and intraindividual variation components. The covariance structure of the residuals are, in many applications, consigned to be independent with homogeneous variances, $ {\sigma}^2{\mathbf{I}}_{n_i} $ , not because it is believed that intraindividual variation adheres to this structure, but because many software programs that estimate parameters of such models are not well-equipped to handle other, possibly more realistic, patterns. In this article, we describe how the programmatic environment within SAS may be utilized to model residual structures for serial correlation and variance heterogeneity. An empirical example is used to illustrate the capabilities of the module.