Teaching Note—“By Any Means Necessary!” Infusing Socioeconomic Justice Content Into Quantitative Research Course Work

ABSTRACT

Existing research suggests a majority of faculty include social justice content in research courses but not through the use of existing quantitative data for in-class activities that foster mastery of data analysis and interpretation and curiosity about social justice–related topics. By modeling data-driven dialogue and the deconstruction of quantitative meaning making related to social justice in and around social work practice topics, we can prepare our students to be agents of change in their social work careers and possibly engage our students in an often difficult course. Specifically, I provide examples for how discussions about socioeconomic justice can be infused in teaching about univariate, bivariate, and multivariate statistical analyses from the perspectives of critical consumption and the production of research.     

What’s a Parent to Do? How Parents Respond to Notification of a Child’s Police Detention

The current qualitative study involved in-depth semistructured interviews with parents whose children had been taken into custody. Their initial emotional reactions, cognitive processing, and behavioral responses to their child’s detention were examined. Five themes emerged from the data: (1) Parents try to defer immediate interactions with the child rather than react out of emotion; (2) Parents feel anger toward their child, but disappointment and shock are more strongly expressed emotional responses; (3) Parents do not accept the behavior but do not reject their child; (4) Police behaviors communicate the seriousness of the act; and (5) The entire family suffers consequences from the child’s act. Findings highlight the experiences of the parents as they interacted with the juvenile justice system.     

Childhood Sexual Abuse Severity Reconsidered: A Factor Structure of CSA Characteristics

To address the lack of empirically grounded measures of childhood sexual abuse severity, a survey of self-report items was developed following a thorough review of the childhood sexual abuse literature. An exploratory factor analysis was conducted using data collected from a convenience sample of college students that included 275 females and males with a history of childhood sexual abuse. The solution produced seven factors interpreted as the following: (a) less intrusive forms of childhood sexual abuse (e.g., sexual invitations, kissing), (b) more intrusive forms of childhood sexual abuse (e.g., oral sex, intercourse), (c) humiliation/fear, (d) childhood sexual abuse involving photography, (e) familiarity with the perpetrator, (f) physical force/rape, and (g) active digital penetration. Correlations among these factors further suggested the existence of two relatively independent second-order factors, one based on the levels of physical intrusiveness and the other composed of the psychological/emotional factors. While arguably the most common measurement of severity, physical intrusiveness had little association with critical factors such as humiliation, fear, and association with the perpetrator. Consequently, physical intrusiveness appears to be an inadequate stand-alone measure of childhood sexual abuse severity. These results are proposed to lay the groundwork for an improved, more comprehensive measure of childhood sexual abuse severity.     

Reo fortune (1903-1979)

Aletta Biersack (ed.). Clio in Oceania: toward a historical anthropology. Washington and London: Smithsonian Institution Press. 1991. vii, 383pp., maps,figures.US$37.50.ISBN087474 3044.     

Too close to home? The relationships between residential distance to venue and gambling outcomes

Although gambling accessibility is generally viewed as a multidimensional construct, few studies have successfully untangled the specific role of spatial accessibility in determining gambling outcomes relative to other forms (i.e. temporal, social and psychological). In this paper, we explore the association between gambling outcomes and the distance travelled from a person's home to their most-frequented gambling venue. To this end, we conducted a geocoded mail survey of 7044 households in the Northern Territory of Australia. We employed a geographic information system to calculate the network distance from each household to all visited electronic gaming machine (EGM) venues (n = 64). Multivariate regression modelling revealed that, when adjusted for individual and neighbourhood-level characteristics, frequency of venue visitation and gambling participation were inversely related to residential distance from venue. There was no additional distance effect for problem gambling. Spatial accessibility of EGMs is an important determinant of gambling risk and should be explicitly considered by regulators.     

Social Relationships of African American and Hispanic Older Assisted Living Residents: Exploring the Role of Race and Ethnicity

African American and Hispanic older adults are underrepresented in assisted living communities, so little is known about how they experience social relationships in these settings. The purpose of the study was to explore resident-to-resident and resident-to-staff relationships experienced and perceived by African American and Hispanic older residents in assisted living settings. In-depth interviews with 15 African American and 15 Hispanic older adults were conducted in seven assisted living communities in Central Florida. Three salient themes emerged using a grounded theory approach: formation of relationships: emotional vs. instrumental support; language as a facilitator or barrier; and avoidance of inter-racial relationships. Implications for providing culturally competent services in assisted living communities with diverse populations are discussed.     

A Multisample Confirmatory Factor Analysis of the Short Employment Hope Scale (EHS-14)

ABSTRACT.

Employment hope is an aspect of psychological self-sufficiency that captures the process of empowerment for low-income job seekers. It is posited that this process of maintaining and developing employment hope contributes to the economic self-sufficiency outcome. The preliminary 14-item 2-factor Employment Hope Scale (EHS) was previously developed using an exploratory factor analysis (Hong, Polanin, & Pigott, 2012). This study examines whether the same items could be validated using a multisample confirmatory factor analysis (CFA). Given the unsatisfied model fit of the original 2-factor model, it was modified into a 4-factor model guided by theoretical suggestion from an earlier focus-group study. The multisample CFA on the modified model explained the data significantly better than did the initial model across 2 independent samples. Reliability and validity tests confirmed the factor structure of the modified model. This study confirms that the revalidated Short EHS (EHS-14) is a more robust version of the scale. Further research is needed to demonstrate its utility as a tool to benchmark the pre-employment client empowerment process in workforce development and to monitor postemployment employee support needs in the workplace for retention.     

Decomposition of the difference between two rates with hierarchical factors

A decomposition method for the difference between two rates when data are classified by two factors, one of which may be considered as a more direct factor than the other for the event under consideration, is presented in this paper. The two factors are treated as hierarchical and thus this method is conceptually different from the decomposition methods of Kitagawa (1955) and Das Gupta (1978), in which two factors are treated as symmetrical. Our method is shown to be a balanced version of the Cho-Retherford (1973) decomposition method. Analyses of neonatal mortality rates using our method are presented as an example.     

Environmental Quality in the U.S. States

This analysis of data on environmental quality differentials in the U.S. states shows, first, that the many physical measures of the environment in the U. S. states form two coherent factors: pollution (which became the criterion variable for the study) and waste management. Likewise, budget allocations for the environment reduce to 'contemporary' and 'traditional' expenditures. The former type, along with per capita miles driven and the proportion of the population in metropolitan centers, were used as control variables in tests of three explanatory models: 'industrial capitalism', 'sectoral political economy' and 'sociological structuralism.' No one of these explanations was completely supported by the regression analyses. Therefore, a factor analysis of 16 measures of structure and environmental policy characteristics was run that generated three types of state structure: industrial, high-change and commercial. The first and third types proved to be strong predictors, positive and negative respectively, of pollution level. The major implication of these findings is that social structure, policy and pollution levels are inextricably intertwined.