The value of experiential approaches to evaluation training

The training of evaluators is an important task—important because of the good that well trained evaluators can do and because of the mischief that poorly trained evaluators can cause. There is broad agreement on the importance of producing evaluators who are methodologically versatile and organizationally savvy. To accomplish these educational ends it is necessary to supplement classroom based instruction with experiential approaches. This paper describes a theoretical model of an effective experiential educational program for training evaluators, assesses two operating programs against the requirements of the model, and reports the results of a quasi-experimental evaluation of the effectiveness of the programs in producing important educational outcomes.     

Older men in employed and retired families

Although much research on household work has focused on young dual-career couples, there has been speculation that retirement may have a significant effect on the arrangement of household activities in later life. Furthermore, involvement in the household is believed to influence psychological well-being. Available literature, however, provides contradictory evidence regarding the extent to which integration into household activities may either reduce or contribute to stress. The degree to which male involvement in the household in later life was stressful was examined in this research. Data were analyzed from structured interviews with 1165 older, married men who were employed full-time, part-time, or retired. Employed men were significantly less involved in the household than were the retired; however, men participated more in both masculine and feminine tasks if their wives were employed. Involvement in the household was not stressful although the benefits derived from participation varied somewhat by type of task.     

Informal shelter providers: Low income households sheltering the homeless

Despite the important role they play in preventing homelessness, those who shelter people who can not afford housing of their own have been neglected by researchers. This study examines the characteristics of these low income informal shelter providers. While informal shelter providers were similar to a comparison group of low income households that did not shelter others, there were also significant differences between the two groups. Informal shelter providers were more much more likely to live in single family dwellings, they were more likely to be long-term residents of the community, they were more likely to have experienced homelessness themselves, and they devoted a disproportionate share of their incomes to housing.     

Measuring Religious Identities in Surveys

The purpose of this article is to acquaint the broader publicopinion research audience with what has been a salient issuewithin the community of scholars of religion. We address thequestion of how best to conceptualize and measure religiousidentities in research on contemporary American society. Weconsider the main approaches to the measurement of religiousidentification with regard to their backgrounds, their assumptionsabout the importance of understanding religious identities inhistorically relevant terms, and the practical considerationsof survey measurement. Using data from the General Social Survey,particularly recent innovative efforts to obtain informationon subjective association with particular religious traditionsand/or movements (e.g., Pentecostal, fundamentalist, evangelical,mainline, or liberal Protestant), we compare the two main approaches:the traditional "denominational" approach, where religious identitiesare assumed to be associated with religious denominations, andthe subjective approach, where religious identities are assumedto be captured by a set of "nondenominational" reference categorieslinked to particular historical religious traditions or socialmovements. We conclude that both approaches have substantialpredictive validity, and the most effective strategy for futureresearch may be one that uses a combination of approaches, ratherthan one that relies entirely on a single method of measurement.     

Severe self-neglect: an epidemiological and historical perspective

Older adults with severe self-neglect have multiple deficits in various social, functional and physical domains, and often live insqualor. These individuals often present with poor personal hygiene, domestic squalor and hoarding which results in a threat to their own health as well as personal and public safety. Severe self-neglect occurs along a continuum with older adults often having cognitive and affective disorders compared with younger individuals presenting with psychiatric illnesses. In cases of severe self-neglect with hoarding, evidence has shown this behavior occurs in diverse social strata and not among the wealthy and professionals alone as believed earlier. Due to the multiple conditions associated with severe self-neglect, this population will require an interdisciplinary, multidimensional approach to reduce morbidity and mortality rates including nursing home placement. Research on this group has been limited and is rarely described in the medical and nursing literature. Future research is needed to provide practitioners with effective screening instruments and interventions on cases of severe self-neglect.     

Racial Identity and Racial Treatment of Mexican Americans

How racial barriers play in the experiences of Mexican Americans has been hotly debated. Some consider Mexican Americans similar to European Americans of a century ago that arrived in the United States with modest backgrounds but were eventually able to participate fully in society. In contrast, others argue that Mexican Americans have been racialized throughout U.S. history, and this limits their participation in society. The evidence of persistent educational disadvantages across generations and frequent reports of discrimination and stereotyping supports the racialization argument. In this paper, we explore the ways in which race plays a role in the lives of Mexican Americans by examining how education, racial characteristics, social interactions, relate to racial outcomes. We use the Mexican American Study Project, a unique data set based on a 1965 survey of Mexican Americans in Los Angeles and San Antonio combined with surveys of the same respondents and their adult children in 2000, thereby creating a longitudinal and intergenerational data set. First, we found that darker Mexican Americans, therefore appearing more stereotypically Mexican, report more experiences of discrimination. Second, darker men report much more discrimination than lighter men and than women overall. Third, more educated Mexican Americans experience more stereotyping and discrimination than their less educated counterparts, which is partly due to their greater contact with whites. Lastly, having greater contact with whites leads to experiencing more stereotyping and discrimination. Our results are indicative of the ways in which Mexican Americans are racialized in the United States.     

Age-period-cohort analysis: an illustration of the problems in assessing interaction in one observation per cell data

This paper discusses the specific problems of age-period-cohort (A-P-C) analysis within the general framework of interaction assessment for two-way cross-classified data with one observation per cell. The A-P-C multiple classification model containing the effects of age groups (rows), periods of observation (columns), and birth cohorts (diagonals of the two-way table) is characterized as one of a special class of models involving interaction terms assumed to have very specific forms. The so-called A-P-C identification problem, which results from the use of a particular interaction structure for detecting cohort effects, is shown to manifest itself in the form of an exact linear dependency among the columns of the design matrix. The precise relationship holding among these columns is derived, as is an explicit formula for the bias in the parameter estimates resulting from an incorrect specification of an assumed restriction on the parameters required to solve the normal equations. Current methods for modeling A-P-C data are critically reviewed, an illustrative numerical example is presented, and one potentially promising analysis strategy is discussed. However, gien the large number of possible sources for error in A-P-C analyses, it is strongly recommended that the results of such analyses be interpreted with a great deal of caution.