HyperCard administration of a block-design task

HyperCard (Atkinson, 1987) is a new development environment for the Macintosh that shows promise for use in psychological research and testing. In this paper, we discuss the development of HyperCard stackware with which a block-design task similar to that of the Wechsler Adult Intelligence Scale-Revised (WAIS-R) can be administered. The reliability and validity of the computerized block-design task was evaluated by administering both the computerized task and the WAIS-R subtest to college undergraduates. Results indicated that the computerized task’s reliability compared favorably with that of the WAIS-R subtest. Validity coefficients were equivocal; although an elapsed-time measure showed moderate correlation between the tasks, the numbers of designs correctly completed in each condition were not significantly correlated.     

Relation of sex and gender role to love,sexual attitudes,and self-esteem

One theory of love (J. A. Lee, The Colors of Love: An Exploration of the Ways of Loving, Don Mills, Ontario: New Press, 1973) assumes at least six different attitudinal orientations toward love. Based on Lee's approach, recent research (e.g., C. Hendrick & S. Hendrick, “A Theory and Method of Love,” Journal of Personality and Social Psychology, 1986, 50, pp. 392–402) has found consistent sex differences in love attitudes. Other research has found comparable sex differences in sexual permissiveness and other sexual attitudes. The present study explored the possibility that gender role orientation might be related to differences in love and sexual attitudes. A sample of 286 college students completed the Bem Sex Role Inventory (BSRI), Love Attitudes Scale, Sexual Attitudes Scale, and the Rosenberg Self-Esteem Scale. Correlational analyses revealed many significant associations among love and sexual attitudes, self-esteem, and masculinity and femininity. Subjects were also classified according to gender role as androgynous, masculine, feminine, or undifferentiated, according to BSRI scores. Analyses of variance showed effects for both sex of subjects and gender role orientation on several of the dependent measures. The pattern of the results suggested that sex-stereotyped couples may have difficulties in romantic relationships because of the discrepancies in their love and sexual attitudes. An argument was made in support of the recent trend toward a multidimensional concept of gender role orientation.     

Autism and Accuracy in Adolescent Perceptions of Friends' Sexual Attitudes and Behavior

This study uses data from adolescents matched with data from their friends to examine whether reference group effects on adolescent sexuality should be thought of as operating through the sharing of norms or the modeling of behavior. We observe that perception of attitudes has such a trivial reality component and such a strong autistic component that it cannot serve as a mechanism of peer influence. Perception of sexual behavior has a reality component which is as large as its autistic component, and large enough to serve as a route of influence. We reach two conclusions: (1) Reference group effects on adolescent sexual behavior probably work through behavior modeling rather than through normative influence. (2) Studies which infer peer influence on sexual behavior using only perception of peers will arrive at erroneous conclusions.     

Self-esteem, attitude similarity, and attraction

Subjects evaluated three stimulus persons on several rating scales who were either 10%, 50%, or 90% similar to themselves in attitudes Subjects were divided into low, moderate, and high self-esteem groups on the basis of an earlier Q sort The results showed a strong positive relation between perceived similarity and positive attribution for each of the dependent variables, including liking, sophisticated, intelligent, sincere, happy, and a social distance scale A negative relation was obtained for two undesirable traits, arrogant and cynical Self-esteem interacted with similarity on several of the measures The difference between self-esteem groups was largely restricted to highly dissimilar stimulus persons Moderate esteem subjects were more favorable toward dissimilar persons than either of the other two groups, and the high and low groups tended to resemble each other more than either group resembled the moderate esteem group These results were discussed in terms of the relation between self-esteem and adjustment, and in terms of McGuire's (1968) theory that predicts a nonmonotonic relation between self-esteem and attitudes.     

Ingroup Versus Outgroup Perceptions of the Characteristics of High-Risk Youth: Negative Stereotyping1

Adolescents tend to categorize themselves and their peers into discrete ingroups and outgroups. A comparison of ingroup versus outgroup perceptions of the characteristics of high-risk youth was investigated. Based on current stereotype research, we examined the perspective that outgroup members would hold a more extreme stereotype of high-risk youth compared to the perceptions of ingroup members. A total of 955 7th- and 10th-grade southern California adolescents completed a questionnaire regarding the characteristics of their own peer group and a high-risk group. Support was obtained for an extremity of judgement effect. Outgroup youth perceived that their high-risk peers engaged in fewer school and nonschool low-risk activities, more high-risk activities, and greater drug use than did ingroup members. Outgroup members also held perceptions of high-risk youth as less likely to hold a white-collar job than did the ingroup members. The perceptions that adolescents have of these groups may play major roles in their own social behavior. The implications of these results for future tobacco use prevention programs are considered.     

The percentage bend correlation coefficient

A well-known result is that the usual correlation coefficient,, is highly nonrobust: very slight changes in only one of the marginal distributions can alter by a substantial amount. There are a variety of methods for correcting this problem. This paper identifies one particular method which is useful in psychometrics and provides a simple test for independence. It is not recommended that the new test replace the usual test ofH ₀: = 0, but the new test has important advantages over the usual test in terms of both Type I errors and power.     

Testing for independence between pairs of autocorrelated binomial data sequences

A problem arises in analyzing the existence of interdependence between the behavioral sequences of two individuals: tests involving a statistic such as chi-square assume independent observations within each behavioral sequence, a condition which may not exist in actual practice. Using Monte Carlo simulations of binomial data sequences, we found that the use of a chi-square test frequently results in unacceptable Type I error rates when the data sequences are autocorrelated. We compared these results to those from two other methods designed specifically for testing for intersequence independence in the presence of intrasequence autocorrelation. The first method directly tests the intersequence correlation using an approximation of the variance of the intersequence correlation estimated from the sample autocorrelations. The second method uses tables of critical values of the intersequence correlation computed by Nakamuraet al. (J. Am. Stat. Assoc., 1976,71, 214–222). Although these methods were originally designed for normally distributed data, we found that both methods produced much better results than the uncorrected chi-square test when applied to binomial autocorrelated sequences. The superior method appears to be the variance approximation method, which resulted in Type I error rates that were generally less than or equal to 5% when the level of significance was set at .05.     

Testing whether independent treatment groups have equal medians

The paper suggests new methods for comparing the medians corresponding to independent treatment groups. The procedures are based on the Harrell-Davis estimator in conjunction with a slight modification and extension of the bootstrap calibration technique suggested by Loh. Alternatives to the Harrell-Davis estimator are briefly discussed. For the special case of two treatment groups, the proposed procedure always had more power than the Fligner-Rust solution, as well as the procedure examined by Wilcox and Charlin. Included is an illustration, using real data, that comparing medians, rather than means, can yield a substantially different conclusion as to whether two distributions differ in terms of some measure of central location.