The internal validity of the index of spouse abuse in African American women

This study investigated the internal validity of the Index of Spouse Abuse (ISA) (Hudson & McIntosh, 1981) in a sample of 583 African American women who sought health care at a tertiary care hospital in Atlanta, Georgia. Three models were tested with confirmatory factor techniques: (a) Hudson and McIntosh's original Index of Spouse Abuse two factor model; (b) Campbell, Campbell, Parker, and Ryan's three factor model (Campbell, Campbell, King, Parker, & Ryan, 1994); and (c) an alternative model of physical and nonphysical abuse. This alternative model is based in part on Tolman's conceptualization of psychological abuse as a construct comprised of two related but distinct factors: controlling and emotionally abusive behaviors (Tolman, 1999). Results show that the alternative model fits the data better than the first two models. Findings support the continued use of the ISA, but with proposed modifications.     

Family structure and mental health: the mediating effects of socioeconomic status, family process, and social stress

Although numerous studies reveal differences in mental health by the structure of one's family of origin, there remains debate regarding the processes generating these patterns. Using a sample of young adults (19-21 years) in Miami-Dade County in Florida, this study examines the explanatory significance of three presumed correlates of family type: socioeconomic status, family processes, and level of social stress. Consistent with prior research, our results reveal higher levels of depressive symptoms among those from stepfamilies, single parent families, and single parent families with other relatives present, compared with mother-father families. All three presumed correlates make significant independent contributions to the prediction of depressive symptomatology. Substantial mediating effects also are observed for all three explanatory dimensions. Collectively, they completely or largely explain observed family type variations in mental health risk.     

Marital trajectories and mental health

This study expands the marital status and mental health literature by examining several dimensions of marital trajectories, including the number and type of prior marital losses and duration in current status. Data are drawn from the Piedmont Health Survey of the National Institute of Mental Health Epidemiologic Catchment Area Study, collected in 1982-83 (n = 2,158). Results indicate that number of prior losses moderates the health-enhancing effect of being currently married; higher order marriages are associated with worse mental health. Although results vary across the mental illnesses examined (depression, anxiety, and substance use), the negative effect of multiple loss also is observed for the currently divorced and widowed. There is less evidence that the type of prior loss (i.e., divorce or widowhood) moderates the effect of current marital status on mental health; however, some support is found among the presently widowed. The analyses of duration in current status suggest that the rate of decline in symptoms of anxiety following one's most recent loss varies by marital history among the currently widowed.     

Globalizing social movement theory: The case of eugenics

Transnational social movements are affected not only by national-level factors, but also by factors that operate at the global level. This article develops two conceptual tools for analyzing global factors: international political opportunity and global culture. The conduciveness of both factors appears to be important in understanding eugenics activity, which this article examines as a transnational social movement. The lack of international political opportunity before World War I and the hostile climate of global culture after World War II hindered eugenic mobilization during these periods, while the emergence of opportunities and cultural conduciveness during the Interwar period was associated with movement growth and effectiveness.     

The Achievement Factor in Igbo Receptivity to Industrialization

On a expliqué les différences de développement économique entre les trois principaux groupes culturels nigériens - Hausa, Yoruba, Igbo - par l'existence dans leurs sociétés traditionnelles d'évaluations différentes de l'ambition et de l'effort personnels. Adoptant une autre perspective que l'approche psychologique de McClelland sur le niveau de réalisation, l'auteur indique que l'oeuvre d'une collectivité serait en rapport plus étroit avec le caractére de son édifice social qu'il ne Test avec la structure de la personnalité de ses membres.     

Decreased psychopathology & family burden. Associated with clozapine treatment of patients with refractory schizophrenia

1. Intensive multimodal treatment produces measurable gains in community functioning of people with schizophrenia and reduces family burden. 2. Families that were more involved with patients were more satisfied. 3. Money directed at intensive management and rehabilitation decreases hospitalization and increases community functioning of people with schizophrenia.     

Risk factors for suicide attempts among African American women experiencing recent intimate partner violence

The purposes of this study were to identify risk factors for suicide attempts among 200 African American abused women (100 attempters, 100 nonattempters) and to test a cumulative risk model to determine if a woman's likelihood of making a suicide attempt increased as the number of risk factors increased. Results revealed that attempters were significantly more likely than nonattempters to report high levels of depressive symptoms, hopelessness, drug abuse, and childhood abuse and neglect. Results from the cumulative risk model revealed a linear association between the number of risk factors and the odds of making a suicide attempt. Compared to women with no risk factors, women with two risk factors, women with three risk factors, and women with four to five risk factors were 10, 25, and 107 times, respectively, more likely to attempt suicide. The identification of risk variables highlights the importance of designing interventions to address these factors in order to reduce the risk of suicidal behavior in abused, African American women.     

The Internet and Opinion Measurement: Surveying Marginalized Populations

Objective . Problems of self-selection, selection bias, and response rates have greatly limited the use and validity of on-line surveys. This study addresses those issues by examining population data for a group of Internet users who responded to a series of on-line surveys, enabling the calculation of both response rate and selection bias. Methodology . A series of surveys were posted on a gay/lesbian website. We compare demographic data collected from our study sample with national data on gays/lesbians. A logistic regression model was used to determine if differences existed between participants and nonparticipants. Results . The study sample of gays/lesbians comported well with the national sample. Demographic characteristics of those electing to participate in the surveys and nonparticipants are practically indistinguishable. The response rate to our on-line surveys was approximately 16.4 percent, similar to that in nontargeted mail surveys. Conclusions . The results indicate that, despite its limitations, the Internet can be a valuable medium in reaching populations difficult to identify using standard survey research techniques.     

Identifiability and estimation of recursive max‐linear models

We address the identifiability and estimation of recursive max‐linear structural equation models represented by an edge‐weighted directed acyclic graph (DAG). Such models are generally unidentifiable and we identify the whole class of DAG s and edge weights corresponding to a given observational distribution. For estimation, standard likelihood theory cannot be applied because the corresponding families of distributions are not dominated. Given the underlying DAG, we present an estimator for the class of edge weights and show that it can be considered a generalized maximum likelihood estimator. In addition, we develop a simple method for identifying the structure of the DAG. With probability tending to one at an exponential rate with the number of observations, this method correctly identifies the class of DAGs and, similarly, exactly identifies the possible edge weights.     

Simple,exact inference for 2 × 2 tables

Exact inference for odds-ratio tests and confidence intervals relies on sophisticated algorithms, typically found only in the specialize software. This tends to discourage the use of exact methods in the analyses of 2 × 2 tables. We show that by first devolving each corresponding hypergeometric random variable into independent Bernoulli variates, simple and efficient algorithms emerge that are easily programmed in the commonly available software.