Rhesus plasma cortisol response at four dominance positions

Adrenocortical function and social behaviors were measured in 48 laboratory-born juvenile monkeys in stable (original) groupings at rest, in the same groupings in competition for drinking water, in newly formed groupings each composed of animals from the same original dominance position, and upon return to the original groupings, always in groups of four. In newly formed groupings, plasma cortisol measured higher with each step down in the new dominance hierarchy, the effect attenuating by day 8. Although the partial correlation between frequencies of hostility behavior and plasma cortisol level was low (r = 0.05) when holding fear constant, the partial correlation between cortisol and fear behaviors, holding hostility behavior constant, was 0.86. The data provide evidence that corticosteroid elevations during social stress are related to behavior suggestive of fear and not aggression and are dependent upon dominance rank, the level of dominance competition, and previous dominance history.     

Dominance,aggression, and the functional use of space in institutionalized female adolescents

This is a study of an institutionalized group of female adolescents observed for a nine-week period. These girls were observed to determine the characteristics of their dominance relations and how, in turn, this aspect of their social environment was related to use of their physical environment. Correlational analyses between observational and sociometric data suggested that dominance rank was based upon the frequency of being the recipient of a dominance act. Fewer dominance acts were initiated against higher ranking girls. Dominance ranking was not based upon frequency of initiating a dominance act towards others. Higher ranking girls were the ones most frequently observed alone in their own bedroom. Bedrooms were highly desiuable areas used for grooming (eg, setting hair, ironing clothes, putting on cosmetics, resting) as girls sought to gain popularity with the institution's male population. Comparison of results with findings in similar studies on male adolescents suggest some tentative generalizations as to sex difference in dominance and territoriality.     

Simple additivity of stochastic psychological processes: Tests and measures

In this article, some additive models of behavioral measures are defined, and distributional tests of them are proposed. Major theoretical results include (a) conditions for additivity of components to predict the highest level of dominance in a model-free stochastic dominance hierarchy, (b) methods of identifying the shape of the hazard rate function of an added component from certain relationships among the observable density and distribution functions, and (c) effects of stochastic dependence between components on the distributional tests. Feasibility and usefulness of the methods are demonstrated by application to choice RT and ratings experiments.The author was supported by grants MH44640 to Roger Ratcliff and AFOSR 90-0246 (jointly funded by NSF) to Gail McCoon. Parts of this work were presented at the European Mathematical Psychology meetings of 1991. My thanks to F. Gregory Ashby, Bruce Bloxom, Roger Ratcliff, W. Schwarz, Jim Townsend, and an anonymous reviewer for their many helpful suggestions.     

Evaluating performance in continuous experiments with feedback to subjects

Consider an experiment in which a subject guesses repeatedly at a randomly chosen target on a continuum. To guarantee a positive probability of success, the continuum is partitioned into a finite but large number of segments. The subject is given directional feedback. General guessing strategies are characterized, and an optimal strategy is identified. The hypothesis that the subject's performance can be explained by chance alone is of interest in such experiments. A test is developed based on comparing the subject's performance to expected performance using the optimal strategy. A skill-scoring procedure is developed for assessing a subject's performance in light of the strategy used, and a test based on skill-scoring is advanced.Research by the first author is supported in part by the Air Force Office of Scientific Research under grant AFOSR 77-3180.The authors wish to thank the referees for remarks that led to improvements in both content and clarity.     

Ordinal data,ordered scale points,and order statistics

This paper concerns ordinal responses. An ordered Dirichlet distribution describes prior and posterior beliefs about the cumulative probabilities of response categories. Associating the response categories with intervals of a latent random variable then induces a distribution on the order statistics of that variable. The psychometrician can use the asymptotic theory of order statistics to learn how distributional assumptions about the latent variable effect inference. An example relates the skewness of a latent variable to the proportional odds and proportional hazards models of McCullagh [1980].     

Items bundles

An item bundle is a small group of multiple choice items that share a common reading passage or graph, or a small group of matching items that share distractors. Item bundles are easily identified by paging through a copy of a test. Bundled items may violate the latent conditional independence assumption of unidimensional item response theory (IRT), but such a violation would not typically suggest the existence of a new fundamental human ability to read one specific reading passage or to interpret one specific graph. It is important, therefore, to have theoretical concepts and empirical checks that distinguish between, on the one hand, anticipated violations of latent conditional independence within item bundles, and, on the other hand, violations that cannot be attributed to idiosyncratic features of test format and instead suggest departures from unidimensionalty. To this end, two theorems on unidimensional IRT are extended to describe observable item response distributions when there is conditional independencebetween but not necessarilywithin item bundles.The author is grateful to Ivo Molenaar and the referees for many helpful suggestions, and to D. Thayer for assistance with computing.     

Women Behaving Badly: Gender and Aggression in a Military Town, 1653–1781

Magistrates records from the English town of Portsmouth show the towns women to have been exceptionally violent. Women accounted, on average, for just over 31% of all assaults on record for the years 1653 to 1781. We used a combination of quantitative and qualitative methods to compare the fighting styles of men and women and to examine the extent to which these were gendered. Particular attention was paid to levels of violence between pairs of brawlers. The most common form of violence was male-on-male (2,666 cases), followed by female-on-female (1,690), male-on-female (1,675), and female-on-male (299). Of these pairings, female-on-male assaults were the most violent, as measured by the types of weapons used by the aggressors, and female-on-female pairings were the least violent.Funding was provided by grant 410-2000-0467 from the Social Sciences and Humanities Research Council of Canada. The authors are profoundly grateful to the gracious and highly capable staff of Portsmouths Museums and Records Service, including, most notably, Michael Gunton, Diana Gregg, Donna Malcolmson, and Sarah Speller. Special thanks also go to the team of volunteers who transcribed the towns sessions papers, thus greatly facilitating our entry of the same into a database. They were, in alphabetical order, Kate Beatty, Barbara Gower, Ursula Heinrich, Pam Honeysett, George Hothersall, Marjorie Hothersall, Una Lowe, Betty Richardson, Marjorie Ripper, and Brenda Whorton. There was one other volunteer: an inmate at the Kingston Prison just outside Portsmouth. Back in Toronto, several more people assisted in entering the records into a database. They were, in alphabetical order, Joanne Cordingley, James Hewitson, Allyson Lunny, Yvonne Pelletier, and Victoria Vaag.     

Social dominance and anti-immigrant prejudice: A cross-national and prospective test of the mediating role of assimilation,multiculturalism, colour blindness,and interculturalism

Decades of research have shown that social dominance orientation (SDO) is one of the most important predictors of anti-immigrant attitudes. However, the mechanisms through which SDO can explain prejudice have been studied insufficiently. Using rich and diverse samples from France and from the province of Québec in Canada, the present research provides a cross-national (N = 1,852) and prospective (N = 534) analysis of a theoretical model in which the dimensions of SDO are indirectly predicting anti-immigrant prejudice via the intergroup ideologies of assimilation, multiculturalism, colour blindness and interculturalism. Results showed that interculturalism, a hierarchy-attenuating ideology was found to be a robust mechanism to explain the subtle effects of SDO-E on anti-immigrant prejudice whereas assimilation, a hierarchy-enhancing ideology was playing a more important role to explain direct and blatant effects of SDO-D on prejudice. The two most studied diversity approaches, multiculturalism and colour blindness, were largely redundant once interculturalism was considered. This pattern occurred in both France and Québec hence, favouring the context-independent pathway.     

Gleaning in the field of dual scaling

Some historical background and preliminary technical information are first presented, and then a number of hidden, but important, methodological aspects of dual scaling are illustrated and discussed: normed versus projected weights, the amount of information accounted for by each solution, a perfect solution to the problem of multidimensional unfolding, multidimensional quantification space, graphical display, number-of-option problems, option standardization versus item standardization, and asymmetry of symmetric (dual) scaling. Contrary to the common perception that dual scaling and similar quantification methods are now mathematically transparent, the present study demonstrates how much more needs to be clarified for routine use of the method to arrive at valid conclusions. Data analysis must be carried out in such a way that common sense, intuition and sound logic will prevail.Presidential Address delivered at the Annual Meeting of the Psychometric Society, Banff Centre for Conferences, Banff, Alberta, Canada, June 27–30, 1996. The work has been supported in part by a grant from the Natural Sciences and Engineering Research Council of Canada. I am grateful to Ira Nishisato for his comments, Ingram Olkin and Yoshio Takane for important references, and Liqun Xu for computational help.     

Dominance Measuring Method Performance under Incomplete Information about Weights

In multi‐attribute utility theory, it is often not easy to elicit precise values for the scaling weights representing the relative importance of criteria. A very widespread approach is to gather incomplete information. A recent approach for dealing with such situations is to use information about each alternative's intensity of dominance, known as dominance measuring methods. Different dominance measuring methods have been proposed, and simulation studies have been carried out to compare these methods with each other and with other approaches but only when ordinal information about weights is available. In this paper, we use Monte Carlo simulation techniques to analyse the performance of and adapt such methods to deal with weight intervals, weights fitting independent normal probability distributions or weights represented by fuzzy numbers. Moreover, dominance measuring method performance is also compared with a widely used methodology dealing with incomplete information on weights, the stochastic multicriteria acceptability analysis (SMAA). SMAA is based on exploring the weight space to describe the evaluations that would make each alternative the preferred one. Copyright © 2012 John Wiley & Sons, Ltd.