Physiological response and task performance in like- and cross-sex competition

The relationship between a subject's sex and his or her behavior in a competitive situation was examined. Male and female subjects completed three tasks, first by themselves and then against either a male or female competitor. A 2×2 design (sex of the subject × sex of the competitor) was thereby created. The dependent measures were the subject's performance and his or her heart rate during each task. Since the relationship between a subject's sex and competitive behavior was expected to be situationally specific, three different kinds of tasks were used: anagram, perceptual-motor, and arithmetical. Results were not consistent with predictions based on Horner's fear of success model (1968). Competition with either sex was found to increase performance level in both sexes on all three tasks. The only sex-related effect found to be consistent across tasks was that both male and female subjects had a greater increase in heart rate when competing against a male than when competing against a female. This heart rate increase was interpreted as an indicator of increased anxiety or arousal.This research was supported by a University of Pittsburgh, Faculty of Arts and Sciences research grant to the second author. The assistance of H. DeGood, L. Paul, and T. Rusiewicz in collection of the data presented here is gratefully acknowledged.     

LABSIM: A data-driven simulation program for instruction in research design and statistics

LABSIM is a general-purpose FORTRAN program that simulates the collection of data from laboratory experiments. Student-specified parameters are employed in a multiple-regression model that allows manipulation or control of up to 10 potential independent variables. Variables may be discrete (up to eight levels), continuous, or range (e.g., IQ). Raw scores may be generated for up to six groups, optionally accompanied by statistical analyses for simple between- or within-subjects designs or for factorial designs, including mixed factorial designs. Seventeen models (content areas) are currently available. As contrasted with other simulation programs, LABSIM models are exceptionally easy to design and implement; no computer expertise is required. Summary data automatically collected by LABSIM indicate a high success rate and extensive use of the program beyond course requirements. The current version of LABSIM is available in either batch or interactive form. A newer version that allows the simultaneous manipulation of up to three independent variables will be available soon.     

Mapclus: A mathematical programming approach to fitting the adclus model

We present a new algorithm, MAPCLUS (MAthematicalProgrammingCLUStering), for fitting the Shepard-Arabie ADCLUS (forADditiveCLUStering) model. MAPCLUS utilizes an alternating least squares method combined with a mathematical programming optimization procedure based on a penalty function approach, to impose discrete (0,1) constraints on parameters defining cluster membership. This procedure is supplemented by several other numerical techniques (notably a heuristically based combinatorial optimization procedure) to provide an efficient general-purpose computer implemented algorithm for obtaining ADCLUS representations. MAPCLUS is illustrated with an application to one of the examples given by Shepard and Arabie using the older ADCLUS procedure. The MAPCLUS solution uses half as many clusters to achieve nearly the same level of goodness-of-fit. Finally, we consider an extension of the present approach to fitting a three-way generalization of the ADCLUS model, called INDCLUS (INdividualDifferencesCLUStering).We are indebted to Scott A. Boorman, W. K. Estes, J. A. Hartigan, Lawrence J. Hubert, Carol L. Krumhansl, Joseph B. Kruskal, Sandra Pruzansky, Roger N. Shepard, Edward J. Shoben, Sigfrid D. Soli, and Amos Tversky for helpful discussions of this work, as well as the anonymous referees for their suggestions and corrections on an earlier version of this paper. We are also grateful to Pamela Baker and Dan C. Knutson for technical assistance. The research reported here was supported in part by LEAA Grant 78-NI-AX-0142 and NSF Grants SOC76-24512 and SOC76-24394.     

Quasi‐Experimental Single‐Subject Design: Comparing Seeking Safety and Canine‐Assisted Therapy Interventions Among Mentally Ill Female Inmates

This repeated measures quasi‐experimental study evaluated the effectiveness of 2 interventions, Seeking Safety and canine‐assisted therapy, with female prisoners with trauma histories on a mental health unit. Results indicate both are effective at reducing anxiety, depression, and posttraumatic stress disorder.     

Historical Origins of Argumentum ad Consequentiam

What are the historical origins of the argumentum ad consequentiam, the argument from (or literally, to) consequences, sometimes featured as an informal fallacy in logic textbooks? As shown in this paper, knowledge of the argument can be traced back to Aristotle (who did not treat it as a fallacy, but as a reasonable argument). And this type of argument shows a spotty history of recognition in logic texts and manuals over the centuries. But how it got into the modern logic textbooks as a fallacy remains somewhat obscure. Its modern genesis is traced to the logic text of James McCosh (1879).     

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The American Journal of Psychoanalysis -