Neuroticism,life stress and concern about eating,body weight and apperance in a non-clinical population

Studies with clinical populations have shown a high level of neuroticism amongst those with an eating disorder. It is unclear however whether the elevated neuroticism is a function of the disorder, or if it is an aetiological factor in the disorder's development. The present survey of a non-clinical female population revealed that those high in neuroticism gave higher—but not abnormally high—scores on a measure of concern about eating. The high-N group also reported a significantly greater number of undesirable life events; a greater familiarity with ‘diet literature’; increased dieting; but no difference in body weight from those in the middle and lower ranges on the N scale. On the basis of these findings it is suggested that neuroticism is an aetiological factor in disordered eating, at least with secondary if not primary disorders. It is propesed that neuroticism is one mediating psychological factor in a triadic relationship between personal environment contingencies, socio-cultural pressures for thinness and psychological variables. Suggestions are made for future investigation of the role of neuroticism in eating disturbance, with note of potential therapeutic application of such knowledge.     

Attributional self-presentation and information available to the audience

Public ability attributions of public task performance were investigated as a function of test performance (high or low), task performance (high or low), and the availability of information about test performance to the audience (audience informed or audience not informed). The results were largely in agreement with self-presentation expectations, Ability attributions concerning public task performance addressed to an audience which was not informed about test results, were found to be strongly self-serving, although they were also influenced by consistency of test and task performance. In ability attributions directed at an informed audience, self-serving biases were completely absent, the attributions being in accordance with the consistency or inconsistency of test and task performances.     

On structural equation modeling with data that are not missing completely at random

A general latent variable model is given which includes the specification of a missing data mechanism. This framework allows for an elucidating discussion of existing general multivariate theory bearing on maximum likelihood estimation with missing data. Here, missing completely at random is not a prerequisite for unbiased estimation in large samples, as when using the traditional listwise or pairwise present data approaches. The theory is connected with old and new results in the area of selection and factorial invariance. It is pointed out that in many applications, maximum likelihood estimation with missing data may be carried out by existing structural equation modeling software, such as LISREL and LISCOMP. Several sets of artifical data are generated within the general model framework. The proposed estimator is compared to the two traditional ones and found superior.The research of the first author was supported by grant No. SES-8312583 from the National Science Foundation and by a Spencer Foundation grant. We wish to thank Chuen-Rong Chan for drawing the path diagram.     

Three-dimensional perspective drawing of two-dimensional functions with microcomputers

In this paper, we present a BASIC program for Apple II series computers that allows the user to obtain perspective drawings of two-dimensional functions of known analytical expression. Also, we outline a procedure for obtaining perspective representations of two-dimensional arrays of data using the same program. The program should run on any computer with graphics mode with only slight modifications in the graphics commands.     

The effectiveness and generalization of a cognitive-behavioral group treatment to reduce impulsive/aggressive behavior for boys in a residential setting

Twenty of 150 boys living in a residential setting who were emitting high levels of impulsive/aggressive behavior participated in a study of the effectiveness of a cognitive-behavioral group treatment procedure designed to equip them with skills conducive to alternate and more socially appropriate behavior. Treatment involved 13 meetings of 55 minutes duration over a six-week period. The results indicated significant behavioral changes in school regarding: (1) the intensity of physical fighting, (2) the frequency and intensity of verbal fighting, (3) noncompliance, and (4) being in an inappropriate location. These behavioral changes did not generalize beyond the school setting. Significant increases in the number of identified logical consequences of aggressive behavior and in the number of alternative responses to aggressive behavior were observed compared to control boys. The behavioral changes observed in school largely extinguished during the five weeks between the last treatment session and the follow-up observations.     

Beliefs about and experiences with battering: Women and men in two populations

A questionnaire was developed to measure beliefs about and experiences with violence in the family. Two groups of persons in two different states who had attended conferences on battered women participated in this research. Of the 177 subjects (84% women, 16% men), none of the men had been battered, yet over one-third of the women had been; more older women reported having been adult battering victims than did younger women; the women had less formal education than the men; the women in the lower educational groups were more likely to have been battered and to report fear of becoming victims; and the social service workers reported little fear of battering.     

A general structural equation model with dichotomous,ordered categorical,and continuous latent variable indicators

A structural equation model is proposed with a generalized measurement part, allowing for dichotomous and ordered categorical variables (indicators) in addition to continuous ones. A computationally feasible three-stage estimator is proposed for any combination of observed variable types. This approach provides large-sample chi-square tests of fit and standard errors of estimates for situations not previously covered. Two multiple-indicator modeling examples are given. One is a simultaneous analysis of two groups with a structural equation model underlying skewed Likert variables. The second is a longitudinal model with a structural model for multivariate probit regressions.This research was supported by Grant No. 81-IJ-CX-0015 from the National Institute of Justice, by Grant No. DA 01070 from the U.S. Public Health Service, and by Grant No. SES-8312583 from the National Science Foundation. I thank Julie Honig for drawing the figures. Requests for reprints should be sent to Bengt Muthén, Graduate School of Education, University of California, Los Angeles, California 90024.