Ideas in Action: Teaching Qualitative Analytic Methods in Social Work Research through the Analysis of Song Lyrics

This article describes the innovative use of a pop culture source-song lyrics to augment the teaching of qualitative methods in social work research. The use of pop culture sources as learning tools in the MSW curriculum has the potential to enhance the learning experience for students. These techniques have not been applied in the content of MSW research classes. This approach could be advantageous over other typical data sources because it is more accessible to students while also being reflective of a collective identity of people in society. Future work should assess student and educator responses to this pedagogical approach.     

The reliance on recognition and majority vote heuristics over privacy concerns when selecting smartphone apps among German and US consumers

The smartphone app market is a prime example of a digital market where consumers are tasked with selecting one option among a plethora of alternatives, at times indistinguishable from one another. Building upon findings on information processing and decision-making, we postulate that consumers follow simple (rather than complex) heuristic rules to navigate the app market. In particular, we focus on two such strategies: the recognition heuristic and the majority vote heuristic. App privacy information was also considered as a potentially salient cue in the decision-making process, given the personal data stored on smartphones. Results of a mixed-method design (behavioral analysis and think-aloud protocols) study with German (N?=?18) and US (N?=?25) students find a dominance of the recognition heuristic. Decisions are further supported by majority vote heuristics. Privacy information is largely disregarded, particularly by US participants. Implications for app market design and engagement are discussed.     

Measuring and Analysing the Wellbeing of Australia’s Indigenous Population

According to most standard socioeconomic indicators (for example employment, income and education), Indigenous Australians tend to have worse outcomes than their non-Indigenous counterparts. Most objective health indicators including life expectancy also tend to be worse. Traditionally, these two domains and associated objective indicators have been the focus of research, government policy and evaluation. There has been less research, however, on differences between Indigenous and non-Indigenous Australians in subjective measures of wellbeing. In this paper, I attempt to answer three related research questions on Indigenous wellbeing—What is the average level of emotional wellbeing and satisfaction with life for the Indigenous and non-Indigenous population of Australia? How do the differences between the two populations change once other characteristics have been controlled for? What are the factors associated with emotional wellbeing within the Indigenous population? With regards to the first two questions, Indigenous Australians are less likely to report frequent periods of happiness and more likely to report periods of extreme sadness than the non-Indigenous population. Surprisingly, given these results for emotional wellbeing, a major finding from the analysis was that Indigenous Australians were significantly more likely to report above-average satisfaction with their life. The main finding with regards to the third question is that using retrospective measures, those in remote areas report higher levels of happiness than those in non-remote areas. This is different to the results for socioeconomic status and objective measures of health found elsewhere and has important implications for government policy in Australia.     

More on the ontological status of autism and double empathy

This response to Milton’s recent article on the ontological status of autism and double empathy also explores, through the lens of ‘double empathy’ and ‘theory of mind’, the issues of relationality and interaction that researchers in the fields of cognitive neuroscience and psychology hardly acknowledge. I go on to consider Wittgenstein’s criteriological view of mind, propose a synthesis of theory to describe autism, and suggest that public criteria of a non-autistic ontology enable many autistic people to eventually develop the understanding of other (non-autistic) minds that, in turn, enables them to survive, and even thrive.     

The Value of Information in Decision‐Analytic Modeling for Malaria Vector Control in East Africa

Decision analysis tools and mathematical modeling are increasingly emphasized in malaria control programs worldwide to improve resource allocation and address ongoing challenges with sustainability. However, such tools require substantial scientific evidence, which is costly to acquire. The value of information (VOI) has been proposed as a metric for gauging the value of reduced model uncertainty. We apply this concept to an evidenced‐based Malaria Decision Analysis Support Tool (MDAST) designed for application in East Africa. In developing MDAST, substantial gaps in the scientific evidence base were identified regarding insecticide resistance in malaria vector control and the effectiveness of alternative mosquito control approaches, including larviciding. We identify four entomological parameters in the model (two for insecticide resistance and two for larviciding) that involve high levels of uncertainty and to which outputs in MDAST are sensitive. We estimate and compare a VOI for combinations of these parameters in evaluating three policy alternatives relative to a status quo policy. We find having perfect information on the uncertain parameters could improve program net benefits by up to 5–21%, with the highest VOI associated with jointly eliminating uncertainty about reproductive speed of malaria‐transmitting mosquitoes and initial efficacy of larviciding at reducing the emergence of new adult mosquitoes. Future research on parameter uncertainty in decision analysis of malaria control policy should investigate the VOI with respect to other aspects of malaria transmission (such as antimalarial resistance), the costs of reducing uncertainty in these parameters, and the extent to which imperfect information about these parameters can improve payoffs.     

Interviewing children versus tossing coins: accurately assessing the diagnosticity of children's disclosures of abuse

We describe a Bayesian approach to evaluating children's abuse disclosures and review research demonstrating that children's disclosure of genital touch can be highly probative of sexual abuse, with the probative value depending on disclosure spontaneity and children's age. We discuss how some commentators understate the probative value of children's disclosures by: confusing the probability of abuse given disclosure with the probability of disclosure given abuse, assuming that children formally questioned about sexual abuse have a low prior probability of sexual abuse, misstating the probative value of abuse disclosure, and confusing the distinction between disclosure and nondisclosure with the distinction between true and false disclosures. We review interviewing methods that increase the probative value of disclosures, including interview instructions, narrative practice, noncontingent reinforcement, and questions about perpetrator/caregiver statements and children's reactions to the alleged abuse.     

Use of online crowdsourcing platforms for gambling research

Crowdsourcing platforms like Amazon’s Mechnical Turk and Crowdflower have been touted to be a cost-effective way to collect large amounts of behavioural data. Across four large-n studies, gambling-related behaviours, tendencies and traits among participants in these labour markets were examined. In Studies 1 and 2, both conducted on Crowdflower, problem gamblers (as measured by the benchmark Problem Gambling Severity Index) comprised 24.5% and 21.9% of participants, respectively. In Study 3, conducted on Mechanical Turk, problem gamblers comprised 9.0% of participants. In Study 4, a two-wave longitudinal study conducted on Crowdflower, problem gamblers comprised 13.5% of participants in wave one and 14.8% of participants in wave two. In Studies 2 and 3, strong convergent associations were demonstrated across various measures of problem gambling tendencies and general gambling involvement. Furthermore, it was demonstrated that gambling was associated with personality traits (impulsivity, sensation-seeking, self-control), risk attitudes, affect, and behavioural risk-taking consistent with previous research. In Study 4, it was demonstrated that measures of problem gambling have acceptable test-retest reliability. Online crowdsourcing platforms appear to offer access to samples with remarkably high proportions of problem gamblers. However, this characteristic means that such samples are not necessarily representative of gambling tendencies among more general populations.     

A heuristic for the time constrained asymmetric linear sum assignment problem

The linear sum assignment problem is a fundamental combinatorial optimisation problem and can be broadly defined as: given an \(n \times m, m \ge n\) benefit matrix \(B = (b_{ij})\), matching each row to a different column so that the sum of entries at the row-column intersections is maximised. This paper describes the application of a new fast heuristic algorithm, Asymmetric Greedy Search, to the asymmetric version (\(n \ne m\)) of the linear sum assignment problem. Extensive computational experiments, using a range of model graphs demonstrate the effectiveness of the algorithm. The heuristic was also incorporated within an algorithm for the non-sequential protein structure matching problem where non-sequential alignment between two proteins, normally of different numbers of amino acids, needs to be maximised.     

Investigating the mechanism of marital mortality reduction: The transition to widowhood and quality of health care

While it is well known that the widowed suffer increased mortality risks, the mechanism of this survival disadvantage is still under investigation. In this article, we examine the quality of health care as a possible link between widowhood and mortality using a unique data set of 475,313 elderly couples who were followed up for up to nine years. We address whether the transition to widowhood affects the quality of care that individuals receive and explore the extent to which these changes mediate the elevated mortality hazard for the widowed. We analyze six established measures of quality of health care in a fixed-effect framework to account for unobserved heterogeneity. Caregiving and acute bereavement during the transition to widowhood appear to distract individuals from taking care of their own health care needs in the short run. However, being widowed does not have long-term detrimental effects on individuals’ ability to sustain contact with the formal medical system. Moreover, the short-run disruption does not mediate the widowhood effect on mortality. Nevertheless, long after spousal death, men suffer from a decline in the quality of informal care, coordination between formal and informal care, and the ability to advocate and communicate in formal medical settings. These findings illustrate women’s centrality in the household production of health and identify important points of intervention in optimizing men’s adjustment to widowhood.