“What's the worst thing...?” gender-directed insults

College students, 107 females and 57 males, were asked to give single-word or phrase responses to four questions about the worst thing a member of each sex can call a member of the same or the opposite sex. The resulting 134 different words and phrases were sorted into seven categories by peer raters and a series of chi-square analyses were performed. With minor exceptions, no sex differences in responses were found, but highly significant differences were found in insults attributed to and by the two sexes. For example, insults referring to sexual looseness were said to be directed almost exclusively toward women, and those referring to homosexuality almost exclusively toward men, but only by other men. Results suggest that male and female college students agree on some stereotypic differences between men and women in the giving and receiving of verbal attack.We wish to thank those who assisted in various ways: Ric Dias, Cynara Doe, Michael Levine, Rochelle Dias, Steve Penning, Debbie Carrier, Deanne Anderson, Peter Buss, Dave Carter, Mike Penley, Nancy Soncrant, Cindy Stout, and especially Debbie Harrison.     

Principal components analysis of sampled functions

This paper describes a technique for principal components analysis of data consisting ofn functions each observed atp argument values. This problem arises particularly in the analysis of longitudinal data in which some behavior of a number of subjects is measured at a number of points in time. In such cases information about the behavior of one or more derivatives of the function being sampled can often be very useful, as for example in the analysis of growth or learning curves. It is shown that the use of derivative information is equivalent to a change of metric for the row space in classical principal components analysis. The reproducing kernel for the Hilbert space of functions plays a central role, and defines the best interpolating functions, which are generalized spline functions. An example is offered of how sensitivity to derivative information can reveal interesting aspects of the data.This research was supported by Grant PA 0320 to the second author by the Natural Sciences and Research Council of Canada. We are grateful to the reviewers of an earlier version and to J. B. Kruskal and S. Winsberg for many helpful comments concerning exposition.     

The joint analysis of direct ratings,pairwise preferences,and dissimilarities

In studies involving judgments of similarity or dissimilarity, a variety of other variables may also be measured. Examples might be direct ratings of the stimuli, pairwise preference judgments, and physical measurements of the stimuli with respect to various properties. In such cases, there are important advantages to joint analyses of the dissimilarity and collateral variables. A variety of models are described for relating these and algorithms described for fitting these to data. A number of hypothesis tests are developed and an example offered.The research reported here was supported by grant number APA 320 to the author by the National Research Council of Canada.     

Some small sample results for maximum likelihood estimation in multidimensional scaling

Some aspects of the small sample behavior of maximum likelihood estimates in multidimensional scaling are investigated by Monte Carlo. An investigation of Model M2 in the MULTISCALE program package shows that the chi-square test of dimensionality requires a correction of tabled chi-square values to be unbiased. A formula for this correction in the case of two dimensions is estimated. The power of the test of dimensionality is acceptable with as few as two replications for 15 stimuli and as few as five replications for 10 stimuli. The biases in the exponent and standard error estimates in this model are also investigated.The research reported here was supported by grant number APA 320 to the author by the National Science and Engineering Research Council of Canada.     

Confidence regions for multidimensional scaling analysis

Techniques are developed for surrounding each of the points in a multidimensional scaling solution with a region which will contain the population point with some level of confidence. Bayesian credibility regions are also discussed. A general theorem is proven which describes the asymptotic distribution of maximum likelihood estimates subject to identifiability constraints. This theorem is applied to a number of models to display asymptotic variance-covariance matrices for coordinate estimates under different rotational constraints. A technique is described for displaying Bayesian conditional credibility regions for any sample size.The research reported here was supported by grant number APA 320 to the author by the National Research Council of Canada.     

Reasons and ideals

This paper contributes to the debate on whether we can have reason to do what we are unable to do. I take as my starting point two papers recently published in Philosophical Studies, by Bart Streumer and Ulrike Heuer, which defend the two dominant opposing positions on this issue. Briefly, whereas Streumer argues that we cannot have reason to do what we are unable to do, Heuer argues that we can have reason to do what we are unable to do when we can get closer to success but cannot have reason to try to do what we are unable to do when we cannot get closer to success. In this paper, I reject both positions as they are presented, on the grounds that neither can accommodate an important category of reasons, which are the reasons to realise and to try to realise dimensions of value that lie at the boundary of what is realisable, specifically, genuinely valuable ideals. I defend a third view that we can have reason to do and to try to do what we are unable to do even when we cannot, in Heuer’s sense, get closer to success. Moreover, I argue that we can have reason to realise and to try to realise genuinely valuable ideals for their own sake and not simply for the sake of achieving mundane, realisable ends.     

People consider reliability and cost when verifying their autobiographical memories

Because memories are not always accurate, people rely on a variety of strategies to verify whether the events that they remember really did occur. Several studies have examined which strategies people tend to use, but none to date has asked why people opt for certain strategies over others. Here we examined the extent to which people's beliefs about the reliability and the cost of different strategies would determine their strategy selection. Subjects described a childhood memory and then suggested strategies they might use to verify the accuracy of that memory. Next, they rated the reliability and cost of each strategy, and the likelihood that they might use it. Reliability and cost each predicted strategy selection, but a combination of the two ratings provided even greater predictive value. Cost was significantly more influential than reliability, which suggests that a tendency to seek and to value “cheap” information more than reliable information could underlie many real-world memory errors.     

After the attempt: maintaining the therapeutic alliance following a patient's suicide attempt

The risk of a patient's suicide is a prominent occupational hazard for psychotherapists. The precise number of patients who attempt suicide while in treatment and then resume therapy with the same therapist is not known, but this situation is a relatively common occurrence in clinical practice. Such scenarios can pose significant challenges to the reestablishment of the therapeutic trust and a workable treatment alliance. The aim of this paper is to identify the challenges facing a clinician treating a patient who resumes therapy following a serious suicide attempt, and to offer guidelines for maintaining the viability of the therapeutic alliance.