Parental reactions to developmental disabilities in Chinese American families

Families of Chinese American children with mental retardation and developmental disabilities were interviewed regarding their attitudes and coping experiences. Chinese American parents, like other American parents, reacted to the crisis with intense feelings and needs. The parents revealed a lack of knowledge and understanding of the diagnosis. Chinese belief systems about health and illness were present in the parents' concepts of causation and treatment.Hunter College School of Social Work.     

Television as a diagnostic indicator in child therapy: An exploratory study

This paper explores the relation between television viewing and clinical indicators for the mental health profession. Television viewing is seen from a systemic process perspective, based on data about children in therapy from therapists and parents. Family viewing patterns appear to be related to certain types of clinical indicators, especially attention deficit disorder and acting out. Of particular interest is the finding of a strong association between parental viewing habits and ADD on the part of children. The results suggest that television may be a useful indicator of family health for mental health practitioners and researchers.     

RACE, GENDER, CLASS CONSCIOUSNESS AND UNION SUPPORT: AN ANALYSIS OF SOUTHERN TEXTILE WORKERS

This paper examines race and gender differences in class consciousness and union support among a random sample of textile workers in a small North Carolina city. Class consciousness is treated as an ordinal variable consisting of class verbalization, class action orientation, and endorsement of egalitarian change. Union support denotes a recognition of the union's instrumental role in improving work and working conditions. The analysis reveals that blacks are significantly more class conscious and prounion than whites. On the other hand, males and females tend to share similar levels of class consciousness and union support. Comparisons by race, within gender and by gender, within race, are provided for finer distinctions and extended discussion. A multiple classification analysis reveals that racial differences persist and that gender differences remain unimportant when the covariates of age, job dissatisfaction, education, income, and skill are considered.     

Highways and Population Change*

Abstract In this paper we return to an issue often discussed in the literature regarding the relationship between highway expansion and population change. Typically it simply is assumed that this relationship is well established and understood. We argue, following a thorough review of the relevant literature, that the notion that highway expansion leads to increased population growth in the vicinity of the improved infrastructure finds only weak and often conflicting support. Using data on all major highway expansions in Wisconsin covering the period from the late‐1960s through the 1990s from the Wisconsin Department of Transportation (WisDOT), and census data at the minor civil division (MCD) level covering the period 1970 to 2000, we deploy the analytical tools of geographic information system (GIS) software, and theory from the expanding literature in spatial analysis and modeling, to take a fresh look at this relationship. Our analysis reveals that there is a modest relationship between highway expansion and population growth among MCDs within 10–20 miles of the expanded major highway. The causal structure, however, is complex. Our starting hypothesis argues that population growth precedes highway expansion as frequently as population growth results from highway expansion, but the data show otherwise. The dominant causal influence appears to flow from highway expansion to population growth.     

Interval estimation for log-linear models with one variable subject to non-ignorable non-response

Summary.  Log-linear models for multiway contingency tables where one variable is subject to non-ignorable non-response will often yield boundary solutions, with the probability of non-respondents being classified in some cells of the table estimated as 0. The paper considers the effect of this non-standard behaviour on two methods of interval estimation based on the distribution of the maximum likelihood estimator. The first method relies on the estimator being approximately normally distributed with variance equal to the inverse of the information matrix. It is shown that the information matrix is singular for boundary solutions, but intervals can be calculated after a simple transformation. For the second method, based on the bootstrap, asymptotic results suggest that the coverage properties may be poor for boundary solutions. Both methods are compared with profile likelihood intervals in a simulation study based on data from the British General Election Panel Study. The results of this study indicate that all three methods perform poorly for a parameter of the non-response model, whereas they all perform well for a parameter of the margin model, irrespective of whether or not there is a boundary solution.