Broverman's methodology reversed: assessing university students' perceptions of the gender-role characteristics of counselors

This study examined university students' perceptions of which gender-role characteristics described helpful counselors for 137 nonmajors from an introduction to counseling class. Using a modification of the Broverman, et al. method (1970) and a modified version of their Stereotype Questionnaire, participants were randomly assigned to one of three conditions. Participants indicated the characteristics of a helpful counselor, a helpful female counselor, or a helpful male counselor using 20 bipolar items of gender-role characteristics. t tests were applied to whether agreement of the pole considered most frequently was greater than chance (50%). Analysis indicated agreement on characteristics were most helpful in a counselor, and the direction of this agreement did not differ across the three conditions or as a function of participants' sex. Agreement was high for the individual gender-role characteristic items across conditions as two of 20 items showed significant differences. There was significantly more agreement that male counselors should not have their feelings easily hurt than female counselors and significantly less agreement that male counselors should be able to express tender feelings easily relative to a counselor of unspecified sex.     

Correlations of religious belief and practice with college students' tattoo-related behavior

This research builds on a large body of literature which suggests that religious belief and practice suppress deviant behavior. Survey data from 520 undergraduates (64% freshmen and sophomores; 70% female; 80% Euro-American) at a large public university in the southwest were examined for whether students' strength of religious faith, church attendance, or frequency of prayer correlated with their having a tattoo, being interested in tattoos, or being likely to get a (or another) tattoo. Analysis showed strength of religious faith had a weak, negative correlation with having a tattoo, being interested in tattoos, and being likely to get a (or another) tattoo. Church attendance also weakly correlated with a reduced interest in tattooing. Since the strength of the numerous correlations was very low and barely reached statistical significance, religious belief and behavior do not appear to be associated substantively with attitudes and behavior regarding tattoos. This suggests increasing cultural acceptance of tattooing.     

Exact distributions of intraclass correlation and Cronbach's alpha with Gaussian data and general covariance

Intraclass correlation and Cronbach's alpha are widely used to describe reliability of tests and measurements. Even with Gaussian data, exact distributions are known only for compound symmetric covariance (equal variances and equal correlations). Recently, large sample Gaussian approximations were derived for the distribution functions. New exact results allow calculating the exact distribution function and other properties of intraclass correlation and Cronbach's alpha, for Gaussian data with any covariance pattern, not just compound symmetry. Probabilities are computed in terms of the distribution function of a weighted sum of independent chi-square random variables. NewF approximations for the distribution functions of intraclass correlation and Cronbach's alpha are much simpler and faster to compute than the exact forms. Assuming the covariance matrix is known, the approximations typically provide sufficient accuracy, even with as few as ten observations. Either the exact or approximate distributions may be used to create confidence intervals around an estimate of reliability. Monte Carlo simulations led to a number of conclusions. Correctly assuming that the covariance matrix is compound symmetric leads to accurate confidence intervals, as was expected from previously known results. However, assuming and estimating a general covariance matrix produces somewhat optimistically narrow confidence intervals with 10 observations. Increasing sample size to 100 gives essentially unbiased coverage. Incorrectly assuming compound symmetry leads to pessimistically large confidence intervals, with pessimism increasing with sample size. In contrast, incorrectly assuming general covariance introduces only a modest optimistic bias in small samples. Hence the new methods seem preferable for creating confidence intervals, except when compound symmetry definitely holds. An earlier version of this paper was submitted in partial fulfillment of the requirements for the M.S. in Biostatistics, and also summarized in a presentation at the meetings of the Eastern North American Region of the International Biometric Society in March, 2001. Kistner's work was supported in part by NIEHS training grant ES07018-24 and NCI program project grant P01 CA47 982-04. She gratefully acknowledges the inspiration of A. Calandra's “Scoring formulas and probability considerations” (Psychometrika, 6, 1–9). Muller's work supported in part by NCI program project grant P01 CA47 982-04.     

Nine Months of Multicomponent Behavioral Treatment for ADHD and Effectiveness of MTA Fading Procedures

We examined 9-month data from the 14-month NIMH Multimodal Treatment Study of Children with ADHD (the MTA) as a further check on the relative effect of medication (MedMgt) and behavioral treatment (Beh) for attention-deficit/hyperactivity disorder (ADHD) while Beh was still being delivered at greater intensity than at 14-month endpoint, and conversely as a check on the efficacy of the MTA behavioral generalization/maintenance procedures. Intention-to-treat analysis at 9 months showed essentially the same results as at 14 months, after Beh had been completely faded; MedMgt and the combination (Comb) of medication and Beh were significantly superior to Beh and community care (CC) for ADHD and oppositional-defiant (ODD) symptoms, with mixed results for social skills and internalizing symptoms. All treatment-group differences examined as changes in slopes from 9 to 14 months were nonsignificant (we found general improvement for all groups). Slopes from baseline to 9 months correlated highly (r > .74, p < .0001) with slopes from baseline to 14 months for all groups. The time function from baseline to 14 months showed a significant linear, but not quadratic, trend for the main outcome measure (a composite of parent- and teacher-rated ADHD and ODD symptoms) for all groups. Findings suggest that in contrast to the hypothesized deterioration in the relative benefit of Beh between 9 and 14 months (after completion of fading), the MTA Beh generalization and maintenance procedures implemented through 9 months apparently yielded continuing improvement through 14 months, with preservation of the relative position of Beh compared to other treatment strategies.     

Probing Lexical Ambiguity: Word Vectors Encode Number and Relatedness of Senses

Lexical ambiguity—the phenomenon of a single word having multiple, distinguishable senses—is pervasive in language. Both the degree of ambiguity of a word (roughly, its number of senses) and the relatedness of those senses have been found to have widespread effects on language acquisition and processing. Recently, distributional approaches to semantics, in which a word's meaning is determined by its contexts, have led to successful research quantifying the degree of ambiguity, but these measures have not distinguished between the ambiguity of words with multiple related senses versus multiple unrelated meanings. In this work, we present the first assessment of whether distributional meaning representations can capture the ambiguity structure of a word, including both the number and relatedness of senses. On a very large sample of English words, we find that some, but not all, distributional semantic representations that we test exhibit detectable differences between sets of monosemes (unambiguous words; N = 964), polysemes (with multiple related senses; N = 4,096), and homonyms (with multiple unrelated senses; N = 355). Our findings begin to answer open questions from earlier work regarding whether distributional semantic representations of words, which successfully capture various semantic relationships, also reflect fine-grained aspects of meaning structure that influence human behavior. Our findings emphasize the importance of measuring whether proposed lexical representations capture such distinctions: In addition to standard benchmarks that test the similarity structure of distributional semantic models, we need to also consider whether they have cognitively plausible ambiguity structure.     

The 10th Oxbridge varsity medical ethics debate-should we fear the rise of direct-to-consumer genetic testing?

In an increasingly data-driven age of medicine, do companies that offer genetic testing directly to patients represent an important part of personalising care, or a dangerous threat to privacy? Should we celebrate this new mechanism of patient involvement, or fear its implications?The Universities of Oxford and Cambridge addressed these issues in the 10th annual Medical Ethics Varsity Debate, through the motion: “This House Regrets the Rise of Direct-to-Consumer Genetic Testing”. This article summarises and extends key arguments made in the debate, exploring the impacts of such genetic testing on both the individual patient and broader society, with special consideration as to whether companies can ever truly guarantee anonymity of genetic data.     

Semantic alignment across whole-number arithmetic and rational numbers: evidence from a Russian perspective

ABSTRACT

Solutions to word problems are moderated by the semantic alignment of real-world relations with mathematical operations. Categorical relations between entities (tulips, roses) are aligned with addition, whereas certain functional relations between entities (tulips, vases) are aligned with division. Similarly, discreteness vs. continuity of quantities (marbles, water) is aligned with different formats for rational numbers (fractions and decimals, respectively). These alignments have been found both in textbooks and in the performance of college students in the USA and in South Korea. The current study examined evidence for alignments in Russia. Textbook analyses revealed semantic alignments for arithmetic word problems, but not for rational numbers. Nonetheless, Russian college students showed semantic alignments both for arithmetic operations and for rational numbers. Since Russian students exhibit semantic alignments for rational numbers in the absence of exposure to examples in school, such alignments likely reflect intuitive understanding of mathematical representations of real-world situations.