Sex Differences Among Personality Correlates of Mathematical Ability in High School Seniors

To help explain female inferiority in mathematical performance, sex differences in personality correlates of mathematical ability were examined. Three instruments, Rotter's I-E Scale, Miller Adult Locus of Evaluation Scale, and Byrd's Attitude Concerning Life and Self were administered to measure four personality factors: locus of control, locus of evaluation, identity confusion associated with resolution of the adolescent identity crisis, and self-esteem. Each personality score was correlated separately by sex with Scholastic Aptitude Test mathematical and verbal scores. The sample included 68 females and 63 males, randomly selected from college-bound seniors in a predominantly white, middle-class, suburban high school, chosen to limit the effects of social, economic, racial and educational differences. Two variables were partialed out for control purposes: number of mathematics courses completed and IQ Otis-Lennon Mental Ability Test. For females only, internal locus of control and self-esteem were significant correlates of mathematical ability, and were seen as facilitators of female mathematical functioning in the face of environmental impediments to female mathematical performance.     

Correctable Myths About Research Misconduct in the Biomedical Sciences

Science and Engineering Ethics - A recent National Academy report on research integrity noted that policies are not evidence-based, with no formal entity responsible to attend to this deficit. Here...     

The Relationship Between Attitudinal and Behavioral Measures of Sex Preference

This study examined the relationship between an attitudal and a behavioral measure of sex preference for offspring. In addition to looking at the relationship between these measures, their relationship to other variables was also investigated. Pregnant women and their spouses (N = 56) responded to a questionnaire measure of sex preference, a behavioral measure of sex preference, Bern's Sex Role Inventory, and the Attitudes Towards Women Scale. The behavioral and questionnaire measures of sex preference were significantly related, indicating that in the area of preferred sex of firstborn children, attitudinal measures appear to be highly related to behavioral measures. Contrary to prediction, androgynous and nonandrogyn-ous persons did not differ significantly on preferred sex of child. However, persons with a more positive attitude toward women's movement ideology showed significantly less male preference than persons with less positive attitudes toward women's movement ideology.     

Priming interdependence affects processing of context information in causal inference—But not how you might think

Cultural mindset is related to performance on a variety of cognitive tasks. In particular, studies of both chronic and situationally-primed mindsets show that individuals with a relatively interdependent mindset (i.e., an emphasis on relationships and connections among individuals) are more sensitive to background contextual information than individuals with a more independent mindset. Two experiments tested whether priming cultural mindset would affect sensitivity to background causes in a contingency learning and causal inference task. Participants were primed (either independent or interdependent), and then saw complete contingency information on each of 12 trials for two cover stories in Experiment 1 (hiking causing skin rashes, severed brakes causing wrecked cars) and two additional cover stories in Experiment 2 (school deadlines causing stress, fertilizers causing plant growth). We expected that relative to independent-primed participants, those interdependent-primed would give more weight to the explicitly-presented data indicative of hidden alternative background causes, but they did not do so. In Experiment 1, interdependents gave less weight to the data indicative of hidden background causes for the car accident cover story and showed a decreased sensitivity to the contingencies for that story. In Experiment 2, interdependents placed less weight on the observable data for cover stories that supported more extra-experimental causes, while independents' sensitivity did not vary with these extra-experimental causes. Thus, interdependents were more sensitive to background causes not explicitly presented in the experiment, but this sensitivity hurt rather than improved their acquisition of the explicitly-presented contingency information.     

New evidence for chunk-based models in word segmentation

There is large evidence that infants are able to exploit statistical cues to discover the words of their language. However, how they proceed to do so is the object of enduring debates. The prevalent position is that words are extracted from the prior computation of statistics, in particular the transitional probabilities between syllables. As an alternative, chunk-based models posit that the sensitivity to statistics results from other processes, whereby many potential chunks are considered as candidate words, then selected as a function of their relevance. These two classes of models have proven to be difficult to dissociate. We propose here a procedure, which leads to contrasted predictions regarding the influence of a first language, L1, on the segmentation of a second language, L2. Simulations run with PARSER (Perruchet & Vinter, 1998), a chunk-based model, predict that when the words of L1 become word-external transitions of L2, learning of L2 should be depleted until reaching below chance level, at least before extensive exposure to L2 reverses the effect. In the same condition, a transitional-probability based model predicts above-chance performance whatever the duration of exposure to L2. PARSER's predictions were confirmed by experimental data: Performance on a two-alternative forced choice test between words and part-words from L2 was significantly below chance even though part-words were less cohesive in terms of transitional probabilities than words.     

The Importance of the Default Mode Network in Creativity—A Structural MRI Study

Anecdotal reports as well as behavioral studies have suggested that creative performance benefits from unconscious processes. So far, however, little is known about how creative ideas arise from the brain. In the current study, we aimed to investigate the neural correlates of creativity by means of structural MRI research. Given that unconscious and less controlled processes are important in creative thinking, structural brain research may find a positive correlation between well‐established creativity measures and cortical thickness in brain structures of the default mode network (i.e., the counterpart of the cognitive control network). Individuals performed the Alternative Uses task by which an individual's cognitive flexibility and the average uniqueness and average creativity of a participant's ideas were assessed. We computed optimized voxel‐based‐morphometry (VBM) to explore the correlation between inter‐individual differences in creativity and inter‐individual differences in gray matter volume. For all creativity measures, a positive correlation was found between creative performance and gray matter volume of the default mode network. These findings support the idea that the default mode network is important in creativity, and provide neurostructural support for the idea that unconscious forms of information processing are important in creativity. Theoretical and practical implications are discussed.     

Against transglobal reliabilism

David Henderson and Terry Horgan argue that doxastic epistemic justification requires the transglobal reliability of the belief-forming process. Transglobal reliability is reliability across a wide range of experientially possible global environments. Focusing on perception, I argue that justification does not require transglobal reliability, for perception is non-accidentally reliable and confers justification but not always transglobally reliable. Transglobal reliability is an epistemically desirable property of belief-forming processes, but not necessary for justification.     

Chunk and permeate III: the Dirac delta function

Dirac’s treatment of his well known Delta function was apparently inconsistent. We show how to reconstruct his reasoning using the inconsistency-tolerant technique of Chunk and Permeate. In passing we take note of limitations and developments of that technique.     

Hunting Side Effects and Explaining Them: Should We Reverse Evidence Hierarchies Upside Down?

Philosophical discussions have critically analysed the methodological pitfalls and epistemological implications of evidence assessment in medicine, however they have mainly focused on evidence of treatment efficacy. Most of this work is devoted to statistical methods of causal inference with a special attention to the privileged role assigned to randomized controlled trials (RCTs) in evidence based medicine. Regardless of whether the RCT’s privilege holds for efficacy assessment, it is nevertheless important to make a distinction between causal inference of intended and unintended effects, in that the unknowns at stake are heterogonous in the two contexts. However, although “lower level” evidence is increasingly acknowledged to be a valid source of information contributory to assessing the risk profile of medications on theoretical or empirical grounds, current practices have difficulty in assigning a precise epistemic status to this kind of evidence because they are more or less implicitly parasitic on the (statistical) methods developed to test drug efficacy. My thesis is that (1) “lower level” evidence is justified on distinct grounds and at different conditions depending on the different epistemologies which one wishes to endorse, in that each impose different constraints on the methods we adopt to collect and evaluate evidence; (2) such constraints ought to be understood to be different in the case of evidence for risk versus benefit assessment for a series of reasons which I will illustrate on the basis of the recent debate on the causal association between acetaminophen (a.k.a. paracetamol) and asthma.