Dana-Farber Cancer Institute ethics rounds: life-threatening illness and the desire to adopt

Originally presented during Ethics Rounds at the Dana-Farber Cancer Institute, this commentary on the case of a patient treated for life-threatening cancer explores the responsibilities of health care providers when addressing the patient's desire to adopt a child.     

Abortion, Intimacy, and the Duty to Gestate

In this article, I urge that mainstream discussions of abortion are dissatisfying in large part because they proceed in polite abstraction from the distinctive circumstances and meanings of gestation. Such discussions, in fact, apply to abortion conceptual tools that were designed on the premiss that people are physically demarcated, even as gestation is marked by a thorough-going intertwinement. We cannot fully appreciate what is normatively at stake with legally forcing continued gestation, or again how to discuss moral responsibilities to continue gestating, until we appreciate in their own terms the goods and evils distinctive of gestational connection. To underscore the need to explore further the meanings of gestation, I provide two examples of the difference it might make to legal and moral discussions of abortion if we appreciate more fully that gestation is an intimacy.     

Professors are people too: The impact of informal evaluations of professors on students and professors

There are websites where individuals anonymously provide informal reviews of professors. What impact do such sites have on student and professor motivational factors? Research suggests that undergraduate students are affected (e.g. Edwards et?al. in J Comput Mediat Commun 14:368?C392, 2009; Kowai-Bell et?al. in Comput Hum Behav 27(5):1862?C1867, 2011). The goals of the present investigation are to (1) see if Master??s level students are also influenced and (2) investigate how professors are affected. We provided students (Study 1) and professors (Study 2) comments from an informal review website and they, respectively, took the perspective of a potential student or the professor described in the comments. In Study 1, consistent with prior research on undergraduates, Master??s level students were affected by the reviews (perceived control, outcome expectancies, affect toward taking the class, and likelihood of recommending to a friend), in accordance with the valence of the reviews. Among professors (Study 2), the valence of the reviews influenced affect and self-concept with respect to relational aspects of teaching (mood, affect toward teaching again, confidence that students liked them, and confidence that they would have rapport with future students) but did not have an effect on professor self-concept with respect to competence (teaching ability and teaching well in the future). Furthermore, preliminary evidence suggests that new professors are more susceptible than experienced professors. The results of these studies are relevant because of the degree to which students and instructors contribute to the socioemotional climate of the classroom (Frenzel et?al. in J Educ Psychol 103(3):705?C716, 2009; Radel et?al. in J Educ Psychol 102(3):577?C587, 2010).     

Small is beautiful: In defense of the small-<Emphasis Type="Italic">N</Emphasis> design

The dominant paradigm for inference in psychology is a null-hypothesis significance testing one. Recently, the foundations of this paradigm have been shaken by several notable replication failures. One recommendation to remedy the replication crisis is to collect larger samples of participants. We argue that this recommendation misses a critical point, which is that increasing sample size will not remedy psychology’s lack of strong measurement, lack of strong theories and models, and lack of effective experimental control over error variance. In contrast, there is a long history of research in psychology employing small-N designs that treats the individual participant as the replication unit, which addresses each of these failings, and which produces results that are robust and readily replicated. We illustrate the properties of small-N and large-N designs using a simulated paradigm investigating the stage structure of response times. Our simulations highlight the high power and inferential validity of the small-N design, in contrast to the lower power and inferential indeterminacy of the large-N design. We argue that, if psychology is to be a mature quantitative science, then its primary theoretical aim should be to investigate systematic, functional relationships as they are manifested at the individual participant level and that, wherever possible, it should use methods that are optimized to identify relationships of this kind.     

Systems Factorial Technology provides new insights on the other-race effect

The other-race effect refers to the difficulty of discriminating between faces from ethnic and racial groups other than one’s own. This effect may be caused by a slow, feature-by-feature, analytic process, whereas the discrimination of own-race faces occurs faster and more holistically. However, this distinction has received inconsistent support. To provide a critical test, we employed Systems Factorial Technology (Townsend & Nozawa in Journal of Mathematical Psychology, 39, 321–359, 1995), which is a powerful tool for analyzing the organization of mental networks underlying perceptual processes. We compared Taiwanese participants’ face discriminations of both own-race (Taiwanese woman) and other-race (Caucasian woman) faces according to the faces’ nose-to-mouth separation and eye-to-eye separation. We found evidence for weak holistic processing (parallel processing) coupled with the strong analytic property of a self-terminating stopping rule for own-race faces, in contrast to strong analytic processing (serial self-terminating processing) for other-race faces, supporting the holistic/analytic hypothesis.     

Event-related fMRI of category learning: differences in classification and feedback networks

Eighteen healthy young adults underwent event-related (ER) functional magnetic resonance imaging (fMRI) of the brain while performing a visual category learning task. The specific category learning task required subjects to extract the rules that guide classification of quasi-random patterns of dots into categories. Following each classification choice, visual feedback was presented. The average hemodynamic response was calculated across the eighteen subjects to identify the separate networks associated with both classification and feedback. Random-effects analyses identified the different networks implicated during the classification and feedback phases of each trial. The regions included prefrontal cortex, frontal eye fields, supplementary motor and eye fields, thalamus, caudate, superior and inferior parietal lobules, and areas within visual cortex. The differences between classification and feedback were identified as (i) overall higher volumes and signal intensities during classification as compared to feedback, (ii) involvement of the thalamus and superior parietal regions during the classification phase of each trial, and (iii) differential involvement of the caudate head during feedback. The effects of learning were then evaluated for both classification and feedback. Early in learning, subjects showed increased activation in the hippocampal regions during classification and activation in the heads of the caudate nuclei during the corresponding feedback phases. The findings suggest that early stages of prototype-distortion learning are characterized by networks previously associated with strategies of explicit memory and hypothesis testing. However as learning progresses the networks change. This finding suggests that the cognitive strategies also change during prototype-distortion learning.