Cross-validation of the screening scale in an adult protective services sample

Adult Protective Services (APS) professionals are often called on to assess decision-making capacity when investigating financial exploitation. Previous research found that in consecutive APS cases, a decision-making screening scale (LFDSS) also detected financial exploitation. The purpose of this study was to apply the clinical cutoff scores derived from the previous study to a new sample of APS cases. Using a sample of 105 participants, from APS workers across 5 counties this study investigated the clinical utility of the LFDSS to detect financial exploitation based on ratings by APS professionals using the scale. Results demonstrate that the LFDSS has excellent internal consistency and clinical utility properties. This paper provides support for use of the LFDSS as a reliable and valid instrument. Instructions for use of the LFDSS are included in the article, along with information about online support tools.     

Are they Surgeons? or are they Plumbers? Assessing the Role of Private Sector Consultants in Place Branding and Other Place-Based Economic Development Strategies

Public Organization Review - This study takes an in-depth look at the roles and utility of consultants in local economic development, focusing on whether there is ultimately a need for this...     

Developing ethical approaches to data and civil society: from availability to accessibility

This research note reflects on the gaps and limitations confronting the development of ethical principles regarding the accessibility of large-scale data for civil society organizations (CSOs). Drawing upon a systematic scoping study on the use of data in the United Kingdom (UK) civil society, it finds that there are twin needs to conceptualize accessibility as more than mere availability of data, as well as examine the use of data among CSOs more generally. In order to deal with the apparent “digital divide” in UK civil society – where, despite extensive government rhetoric about data openness, organizations face not only the barriers of limited time, funds, and expertise to harness data but also the lack of representation within existing data – we present a working model in which ethical concerns accompanying data utilization by civil society may be better accounted. This suggests there is a need for further research into the nexus of civil society and data upon which interdisciplinary discussion about the ethical dimensions of engagement with data, particularly informed by insight from the social sciences, can be predicated.     

The ‘affective security curriculum’: breeding JBs through the marriage of the academic and the jingoistic

How does the US recruit its citizen spies used to maintain and proliferate coercive power? I use an interdisciplinary approach and a framework of affect theory to argue that there is an ‘affective security curriculum’ (ASC) that assists in explaining the tendencies towards jingoism used in the recruitment and indoctrination of students – as future security workers – in certain academic disciplines. The ASC is precisely the phenomenon that works to construct this expert class and is produced by order words, the most crucial of which is ‘terrorism’, as well as larger cultural norms linked to neoliberalism that have achieved near total dominance since the 1980s. The ASC works by intensifying the (in)ability to act for those in its domain. The necessity of linguistically proficient security workers to the US’ hegemonic project makes this a question of considerable political importance. The ASC is a different approach to answering questions of how US hegemony is maintained. Whereas positivist research agendas, such as content analysis, and postpositivist approaches, such as critical discourse analysis, certainly have their uses (and to which my notion of ASC is indebted), paradigms such as these fail to focus on the engendering processes at work vis-à-vis the expert class, without which the discursive frames such methodologies analyse would simply dissipate. My overarching purpose in this paper is to develop the concept of the ASC, its quiddity, and to present at least an incipient methodology for analysing its critical duties. As my primary intent is to introduce and conceptualize the theoretical framework of the affective security curriculum, the applied segment of this endeavour will be relatively brief – and is designed as a primer for further research.     

The Jewish Exodus from the New South Africa: Realities and Implications

In the 1990s, the Jewish population of South Africa declined at an unprecedented rate in marked contrast to Jewish populations in other English-speaking countries.
Possible explanations include fear of political instability and political violence, deteriorating economic conditions and prospects, fear of directly discriminatory government policies, rising violent crime rates, and more permissive immigration policies in desirable destination countries.
All but the last of these factors appear to have played some role. However, only changes in violent crime rates provide an explanation for the unprecedented surge in net emigration, persisting even after a successful political and economic transition to majority black rule under moderate African National Congress governments.
Changes in crime rates also provide the most satisfactory explanation for related changes in internal migration patterns.     

CONDITIONAL INFERENCE ABOUT AN EQUICORRELATION COEFFICIENT

SenGupta (1987) proposed a locally most powerful test which is globally (one sided) unbiased, and an estimator of p, the equicorrelation coefficient of a standard symmetric multivariate normal (SSMN) distribution. Here we use the idea in Williams (1984) to illustrate the construction and use of ancillary statistics to make inference about p. The test and confidence intervals based on this construction are conditionally optimal.     

Estimation of trade-offs with capture-recapture models: A case study on the lesser snow goose

Trade-offs between traits such as fecundity or survival are fundamental to much of our understanding of the evolution of life histories. There has been much renewed interest and controversy concerning methods for estimating trade-offs, in the wild or in captivity, and with or without experimental manipulations. In this paper, we assess the general question of the utility of modern capture-recapture methods as a robust tool for estimating trade-offs in natural populations. We present results from analyses of two forms of trade-offs: the cost of present reproduction on future survival and the cost of present reproduction on the probability of breeding in the future. We apply the methods to data from a long-term study of a snow goose population, and generally discuss the advantages and potential problems with various approaches.     

Must sociology be qualitative?

This article addresses the question of whether sociology can in principle become a quantitative science. I distinguish several senses in which a contrast between quantitative and qualitative science might be understood. I focus on the central — and traditional — sense: can sociology become a nomological science, in the way physics is? I argue that it cannot, on the ontological ground that the determinants of human actions cannot be analyzed in purely causal terms. In the article I try to characterize this difference.     

Small sample properties of the logit maximum likelihood estimator:a simulation study

This paper explores the effect of sample size, scale of parameters and size of the choice set on the maximum likelihood estimator of the parameters of the multinomial logit model. Data were generated by simulations under a three-way factorial experimental design for logit models containing three, four and five explanatory variables. Simulation data were analyzed by analysis of covariance and a regression model of the performance measure, the log root mean-squared error (LRMSE), fitted against the three factors and their interactions. Several important conclusions emerged. First, the LRMSE improves, but at a decreasing rate, with increases in the model's degrees of freedom. Second, the number of choice alternatives in the decision makers' choice sets has a significant impact on the LRMSE; however, heterogeneity in the choice sets across the sample has little or no impact. Finally, the scale of parameters and all of its two-way interactions with the other two factors significantly affect the LRMSE. Using the regression results, a family of iso-LRMSE curves are derived in the space of model degrees of freedom and scale of parameters. Their implications for researchers in choosing sample size and scale of parameters is discussed.