Factor structure in groups selected on observed scores

A new method is proposed for estimating factor means and factor covariances in a group of individuals selected on their observed scores. The selection variable is, for example, the total score on an admissions test. Given a factor model for the test items based on the group of test takers, we may be interested in the factor structure for those in the top quartile. The differences in factor means and covariances between this selected group and the full group gives useful information both on successful test performance and on test validity. The new method draws on the classic Pearson-Lawley selection formulas. It avoids the fallacy of factor analysis on the selected group, which would lead to incorrect estimates. The new method is applied to a simple factor structure model for the GMAT test. Although the majority of the GMAT items test verbal skills, it is found that a quantitative factor shows the greatest change in moving from average to top quartile test takers.     

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.     

3-6岁幼儿在分类实验中概括能力的发展

本研究通过设计不同性质的分类实验,探讨3-6岁幼儿抽象概括能力的发展。我们根据年龄将幼儿分为四个组,每组80人,共320人。通过实验获得以下几点。①幼儿在各种不同性质的分类实验中可表现为四级不同的水平,如从根据表面的个别特征进行分类发展到根据内部的本质特征进行分类,从一维角度的分类发展到从两维角度来分类等。⑦达到各个水平的年龄不是截然划分的,而是互相交织的,随着年龄的增加,低级水平的人数不断减少,高级水平的人数不断增加。所以年龄阶段之间既有质的变化,又有量的变化。③对于不同性质的分类材料,各年龄所达到的概括水平也不同,分类材料的难度越大,概括水平越低。④儿童概括水平的高低受教育条件的影响。     

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.     

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.     

Effects of family therapy for substance abuse: A systematic review of recent research

One of the most serious psychosocial problems worldwide is substance abuse because of its repercussions not only on the physical and psychological health of the abuser but also on their relational functioning. Among the well-established therapeutic approaches for the treatment of substance abuse is family therapy, which, in addition to influencing personal variables, promotes changes in family dynamics. The main objective of this study is to review the scientific literature published from 2010 to the present on the efficacy and effectiveness shown by family-based treatment approaches for substance use problems both in adolescent and adult samples. In addition, the effect on secondary variables such as family functioning and behavioral problems is evaluated. The empirical evidence accumulated in the last decade and reviewed in the present study indicates that the incorporation of family members in the treatment of substance abuse produces benefits by diminishing consumption and improving family functioning. Limitations of this study and of the research reviewed are discussed and directions for future research are provided.     

Trauma,protest, and therapeutic culture in Algeria since the 1980s

This article focuses on the shift in sensitivities that took place between the 1980s and 2019 toward psychological suffering in Algeria. Promoters of psychotherapy showed an increase in receptivity—via the media, public authorities, and the general population—to their practices and discourses during this period. Based on professional literature, interviews with psychologists, psychiatrists, and psychoanalysts, and newspaper articles and essays, this article considers the following aspects: the use of psychotherapy, the authority of psychoanalytic/psychopathological analyses, and the ethics of relation in politics. Taking a social and cultural history of politics approach, it traces the discontinuous politicization of psychotherapy over the course of events (namely the uprising of 1988, the civil war of the 1990s, and the 2019 popular movement) and examines the interactions between the state, popular mobilizations, and the psychotherapists. The civil war of the 1990s coincided with the normalization of “trauma” on a global scale, and procedures for the prevention of posttraumatic stress disorder were put in place in Algeria from 1997 onwards. In this process of legitimizing psychological suffering and its treatment, the promoters of psychotherapy who belonged to the less visible margins gained authority. The year-long protest movement (2019) against the regime performed the ethics of relation, focusing on human relations, reflexivity, and living together. Promoters of psychotherapy identified consistently with the political subjectivities produced within the 2019 popular movement characterized by massive pacifist marches against the regime.     

Playing to their strengths: Can focusing on typical in-group strengths be detrimental to people of colour?

With increasing awareness about racism, portrayals of communities of colour are shifting away from negative representations. Emphasizing their strengths could counter negative stereotypes about who they are and low expectations for who they can be, but could also backfire. In two experiments centring adolescents (n = 198) and adults of colour (n = 321), the effect of reflecting on a typical strength was moderated by perceived misalignments between racial/ethnic and ideal future selves (i.e., ethnic–ideal self-discrepancy). For participants perceiving them as aligned, reflecting on a typical in-group strength reduced actual–ideal self-discrepancy. However, for participants perceiving them as misaligned, reflecting on a typical in-group strength increased actual–ideal self-discrepancy. Reflecting on a typical strength also indirectly influenced engagement, through actual–ideal self-discrepancy. Reflecting on an atypical in-group strength did not yield significant effects. Thus, emphasizing typical aspects of stigmatized communities, even when positive, sometimes impede identity and motivation.