Sex ratio and mate preferences: a cross‐cultural investigation

Sex ratio is the number of men per 100 reproductive‐age women within a specified mating pool. We generated and tested two hypotheses about the cross‐cultural relationships between sex ratio and mate preferences using preference ratings of 18 characteristics provided by 9809 participants and corresponding sex ratio data secured from an international organization. The Classical Sex Ratio Mate Preference Shifts Hypothesis predicts that in imbalanced sex ratio societies, the more numerous sex will lower their standards, to facilitate acquisition of a partner of the less numerous sex. The Alternative Sex Ratio Mate Preference Shifts Hypothesis predicts that in lower sex ratio societies, men will lower their standards to secure more short‐term matings, whereas women will raise their standards to avoid deception by men seeking short‐term relationships. Results supported the Classical Sex Ratio Mate Preference Shifts Hypothesis for men, and the Alternative Sex Ratio Mate Preference Shifts Hypothesis for women. Discussion addresses limitations of the current research and highlights future directions for research on the relationships between sex ratio and mating psychology and behavior. Copyright © 2006 John Wiley & Sons, Ltd.     

What do double dissociations prove?

Brain damage may doubly dissociate cognitive modules, but the practice of revealing dissociations is predicated on modularity being true (T. Shallice, 1988). This article questions the utility of assuming modularity, as it examines a paradigmatic double dissociation of reading modules. Reading modules illustrate two general problems. First, modularity fails to converge on a fixed set of exclusionary criteria that define pure cases. As a consequence, competing modular theories force perennial quests for purer cases, which simply perpetuates growth in the list of exclusionary criteria. The first problem leads, in part, to the second problem. Modularity fails to converge on a fixed set of pure cases. The second failure perpetuates unending fractionation into more modules.     

A systems analysis of a failure to test the effectiveness of waiting-list group therapy.

This nonexperimental effectiveness study attempted to evaluate the utility of a brief waiting-list group. The setting was a university clinic providing treatment for an inner-city population. Health delivery and staff dynamics made it difficult to conduct clinical research in this treatment-oriented setting. The nonrandom design allowed for patient choice, with few clients attending more than two group sessions, thus decreasing its impact. Managed-care pressures decreased staff cooperation with our research objectives, resulting in very low return rates in testing and follow-up data. A social systems analysis, highlighting staff and institutional ambivalence, is used to understand the failure to adequately test the effectiveness of waiting-list group therapy. Recommendations are offered to investigators who contemplate conducting clinical research with limited resources.     

A survey of university counselling in the united kingdom and some observations on evaluation

Universities were surveyed about their counselling services during 1987 using a postal questionnaire. Information is presented from 44 universities and includes the extent of counselling provision in relation to the number of students, the staffing and accountability of the services, the needs of the clients and how they are met, and some theoretical and professional concerns mentioned by the counsellors. Finally, some observations are made on the need for more systematic evaluation of the services.     

The clinical vignette: Use in teaching and evaluation of group therapists

This paper describes the use of a written vignette as an aid in teaching group psychotherapy. Educators can determine in advance their expectations of the students' understanding of the vignette. Trainees evaluate the salient data, recognize patients' and therapist's contributions to the process, and conceptualize at three levels: intrapsychic, interpersonal and group-as-a-whole. This method supplements the usual training methods, and offers information about both the individual student and the entire class. This approach has an advantage of enabling educators to assess students in a relatively standardized fashion.     

The relationship between daily events and mood: The mood measure may matter

Measures of daily mood have been used as immediate indicators of the effects of the psychosocial environment, the latter concept often measured by daily events. We examined the prediction of two measures of daily mood, the Positive and Negative Affect Schedule (PANAS) and Nowlis Mood Adjective Checklist (MACL), by daily desirable and undesirable events and by day of the week. Unlike prior studies, the event assessment and type of subjects studied (community residents) were the same in both studies, allowing an attribution of differential associations between the two mood scales and either daily events or day of the week to the different mood measures. The mood measures had similar and expected associations with daily events, although the MACL scale generally had stronger associations with events. Surprisingly, the pattern of day of the week effects for positive, yet not negative, mood were different for the two mood measures. Consistent with the weekend's increase in desirable daily events, MACL positive affectincreased on weekends, relative to weekdays, whereas PANAS positive mooddecreased on weekends. Also, for both positive and negative affect scales, the MACL scales had stronger associations with day of week than the PANAS scales. These results suggest caution in the choice of mood measure to use in studies of daily events and pose questions about the meaning of these mood measures.This work was supported, in part, by grant MH39234 from NIMH. The authors thank two anonymous reviewers for their helpful comments.     

The development and validation of computer self-efficacy and outcome expectancy scales in a nonvolitional context

Computer self-efficacy and outcome expectancy scales were developed using 306 responses to a questionnaire distributed by a national mail survey to end users of computer systems in a variety of functional business areas. Confirmatory factor analysis using a structural equations approach was used to develop three scales. The scales were found to demonstrate satisfactory psychometric properties. The reliability coefficients for these scales were as follows: .85 for computer self-efficacy; .88 for work-related outcome expectancy; and .89 for personal outcome expectancy. The scales provide a strong foundation from which to refine the measurement of computer self-efficacy and outcome expectancy. From these refinements, empirical models that include self-efficacy and outcome expectancy as determinants of information technology acceptance at the individual level of analysis can be improved.