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.     

Concept learning,memory and transfer of dot pattern categories

In the first experiment, subjects rated the similarity of a sample of pairs of random dot patterns generated from 3 prototypes consisting of either 4, 6, or 9 dots. The results of the experiment tended to confirm the structure imposed on the patterns by the construction method. In the second experiment, subjects learned to classify random patterns generated from 2 prototypes with either short or long interprototype distance and consisting of either 4, 6, or 9 dots in a traditional concept identification task. After acquisition, memory for old and new distortions and the prototype, which was not presented during learning, was assessed. The tendency to call a pattern “new” increased with the distance between the pattern and its prototype. In a subsequent transfer test, all subjects saw patterns of either 4, 6, or 9 dots. Performance was above chance and the transfer from larger to smaller patterns tended to be greater than the transfer from smaller to larger patterns. This is consistent with a process of schema formation based on features common to most exemplars of the category. The results are discussed in relation to several theories of concept learning and schema abstraction.     

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.     

Personality and context-related factors of helping and helping-related affect during early stages of the COVID-19 pandemic

COVID-19 pandemic led to introduction of lockdown measures in many countries, while in Serbia the Government also introduced the curfew by which vulnerable groups of citizens were prohibited from leaving their homes at any time. In such a situation many citizens organized to voluntarily offer their help to those in isolation, which offered a unique opportunity to examine prosocial behavior in the natural setting of global crisis. This study examined the differences between non-helpers and helpers, as well as groups of helpers who provided their help to close or unknown others, in personality (prosocial tendencies, selfishness and communal narcissism) and context-related factors (situation specific empathy and fear) of prosocial behaviors. Additionally, the study also analyzed the helping-related affect among helpers, depending on the recipient of help and personality characteristics. Results revealed that groups of helpers with different recipients of help (close persons, unknown persons or both) were not different among each other, but they were different from non-helpers. Non-helpers were more selfish and had self-focused prosocial tendencies, and they showed less empathy towards people in isolation, compared to helper groups. However, the helping-related affect depended on the recipient of help and helper's personality traits. This study confirmed some previous findings and offered novel insights into factors related to helping in crises.     

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.