Why do males and females differ? Children's beliefs about sex differences

The present paper focuses on children's beliefs about sex differences and how these are related to age and gender. Seven, ten, and fifteen year olds (N=427) were asked to give explanations for their beliefs about sex differences. In strong agreement with previous research and the cognitive-developmental theoretical framework, marked age differences were found: younger children were more likely than older children to emphasize biological and physical factors. Significant gender differences were also found, especially for 15 year olds. Girls were much more likely to attribute sex differences to social factors, and boys to biological factors. These gender differences were interpreted as being indicative of different life experiences of males and females, with females being more likely to have experienced conflicts between their own values about sex-role behavior and those of society. Findings were also interpreted as being consistent with the recent emphasis on gender schema. Nevertheless, it was argued that theories of gender schema need to take more account of content—of the beliefs that people hold about sex roles—and, in particular, that more attention be given to exploring gender differences in beliefs.     

Self-reinforcement: Impact of instructions,criterion setting,and tangible rewards

This investigation was designed to ascertain the effects of instructions, criterion setting, and the presence of tangible rewards on the self-reinforcement process. Fifty-two third- and fourth-grade subjects were assigned to one of four treatment groups: (a) stringent instructions/criterion setting/tangible reward, (b) stringent instructions/criterion setting/no tangible reward, (c) nonstringent instructions/criterion setting/tangible reward, and (d) nonstringent instructions/no tangible reward. In the stringent-instruction conditions, subjects received social reinforcement for selecting stringent performance criteria, whereas in the non-stringent-instruction conditions, social reinforcement was withheld. Subjects in the tangible-reward groups were allowed to select a prize following the successful completion of their self-selected work performance. Subjects in the no-tangible-reward groups received no prizes for their work. All subjects performed an arithmetic task in which the number of correct problems completed, number of problems attempted, and time at task served as dependent variables across five reinforcement and two extinction trials. The results suggest that the condition of stringent instructions, criterion setting, and tangible reward was more effective in producing behavior change than the other three conditions. Perceived task difficulty and previous achievement on arithmetic task performance were shown to affect criteria selected and mathematical performance. The results are discussed in light of the contributory role of instructions, criterion setting, and tangible rewards on the self-reinforcement procedure.This study is based on a doctoral dissertation submitted to the Faculty of Arts and Sciences at the University of Pittsburgh by Helen L. Evans. Dr. Russell T. Jones was the dissertation committee chairperson. It was partially funded by an American Psychological Association Minority Fellowship awarded to the first author. Special thanks are extended to the committee members, Drs. Lloyd Bond, Robert Glaser, Johnny Matson, and Samuel M. Turner, for their assistance. The authors would like to thank Thomas DeVoge, Paul Karoly, and Samuel M. Turner for reading and commenting on an early draft of this study. Portions of this paper were presented at the 1982 APA convention.     

Death by 1000 ‘true fans’: Do marketing laws apply to music listening?

The advice to musicians and marketers is to focus on what they love: a truism for practitioners is to find 1000 ‘true fans’ and make $100 from each of them (Kelly, 2008. 1000 True fans. The Technium). If this advice is correct, we should see musicians with loyal user bases engaging more with their favourite artists and less with other music, suggesting a narrow targeting strategy would suffice. On the other hand, the established marketing laws indicate that the listeners of very different genres should overlap more than conventional wisdom would suggest, supporting the need for a much broader approach to targeting potential audiences. Given these conflicting views, musicians need to know if they should market to their existing listeners, the listeners of music similar to theirs (i.e., the same genre), or if they should try to reach a much wider audience. We turn to established choice patterns from the marketing literature to address these questions in the music context. This study examines 84,000,000 observations of music listening from 27,000 unique global users between 2013 and 2014 and survey data from 2019 containing music listening from over 1000 representative respondents in the United States. The results show that listening follows the Duplication of Purchase law for genres, artists, albums, and songs, at an annual, 6-months, 3-months, 1-month, and 1-week period, with no indication of partitioned music listening. The implication is that musicians should try to reach all potential listeners, regardless of what they already listen to. These findings contribute to the theoretical knowledge about duplication analyses of various durations, extend the contexts of choice behaviour that exhibit this pattern, and managerially, to knowledge about the extent of potential audiences and ‘share of ear’ competition.     

Children's judgments of body size and distortion

Body size estimates of 69 children aged 5–13 years were obtained using a TV video methodology. Tasks included an adjustment procedure where children manipulated the width of their body image on a TV, and a discrete task, where they judged the accuracy of their TV image which was presented as either normal or distorted, that is, too wide or too thin. On the continuous task, judgments were more accurate on ascending trials where children had to increase the width of the image. On the discrete task, a signal detection analysis revealed older children were better in detecting size distortion in their images and that the differences were due to differences in the biological sensory system and not due to a bias to report that they were too fat or too thin. However, there were response bias differences between genders. Females were more likely to report size distortion with increasing age while males were less likely.     

Bulimia: A case study with mediating cognitions and notes on a cognitive-behavioral analysis of eating disorders

A case study of a young woman who was following a complex bulimic chain is described. Her emotional-behavioral sequence involved (1) feeling upset, (2) feeling more upset and taking a high dose of laxatives, (3) hinging, (4) taking additional laxatives, (5) feeling depressed, guilty, and angry, and then (6) starving herself for days on end. This paper lists the selfdefeating cognitions mediating the above sequence of emotions and behaviors and reports on a successful disputation of them through a Rational-Emotive Therapy approach. She resumed a normal eating pattern; her menstrual cycle returned in 2 months after having been absent for 13 months; and at followup, 15 months after termination of therapy, disclosed normal weight with no regression to any bulimic behavior. The case study concludes with preliminary notes on a cognitive-behavioral analysis of eating disorders. A model for eating disorders is proposed based upon the study and treatment of other selfindulgent disorders.Paul J. Woods, Ph.D., Co-Editor of thisJournal, is a Fellow of the Institute for Rational-Emotive Therapy in New York City, a Professor Emeritus of Psychology at Hollins College, and a Licensed Psychologist in independent practice in Roanoke, Virginia.Russell M. Grieger, Ph.D., Co-Editor of thisJournal, is a Fellow of the Institute for Rational-Emotive Therapy in New York City, and a Licensed Clinical Psychologist in independent practice in Charlottesville, Virginia.     

Charting the process of change: A primer on survival analysis

Survival analysis is a powerful and useful technique for understanding qualitative change. This article provides a practical, nontechnical introduction to the use of survival analysis for social scientists. Important issues in using survival analysis are discussed, including research design, data preparation and management, and data analysis. Attendance data from a self-helf organization are used to illustrate common survival analysis tasks such as describing the overall survival and hazard functions, examining covariate effects, and modeling the form of the hazard function over time. An appendix that discusses the strengths and weaknesses of current survival analysis computer programs is included. Editor's note: Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology.I thank William Davidson, Susan Englund, Bruce Rapkin, Kurt Ribisl, and three anonymous reviewers for their helpful comments on earlier drafts. The example data presented here were collected with the support of an NIMH grant (MH37390) awarded to Julian Rappaport and Ed Seidman.