The role of support person for Ngaanyatjarra women during pregnancy and birth

BackgroundThis study took place in a remote community on the Ngaanyatjarra Lands, Western Australia. Ngaanyatjarra women's cultural practices have been subject to erosion during the past 70 years. Women are now expected to birth hundreds of kilometres from home and, due to financial barriers, without family support. Older women lament their lack of input into, and control of, contemporary birthing services.Research questionIn order to provide culturally appropriate maternity services we asked: What issues would the Ngaanyatjarra women of the community like to see resolved in the area of antenatal and birthing services?Participants and methodsEligible participants were any Ngaanyatjarra women of the study community who had birthed at least once. We utilised a participatory research methodology. 36 women were interviewed.FindingsThis paper discusses one finding related to support for child-bearing women. The role is important in many ways. Ngaanyatjarra women did not traditionally have their support persons with them during labour and birth, nor do they necessarily expect them to be present in current times. Most women do, however, wish to have a support person with them during antenatal checkups and when they travel to town to await birth.ConclusionAboriginal women from remote communities should be able to have a support person with them when they access regional birthing services, but the nature of this role must not be assumed. A culturally appropriate service has input from the community, provides options and respects choices.     

The Rise of Statistical Phylogenetics

This paper provides a review of the many applications of statistics within the field of phylogenetics, that is, the study of evolutionary history. The reader is assumed to be a statistician rather than a phylogeneticist, so some background is given on what phylogenetics is, along with a brief history of different approaches to phylogenetic inference. The latter half of the paper focuses on a series of open statistical problems in the field with the aim of encouraging more statisticians to engage with this fascinating area of research.     

Trust,distrust, and the end of politics-as-we-knew-it: the mood of the nation prior to election 2017

ABSTRACT

New Zealand’s party-political system has, in the past, undergone significant transformations. And recent political events around the world have been marked by anti-establishment distrust, electoral disruption and the rise of populist parties. So the present article asks if this country could be on the verge of similar disruption, and whether there is a mood among the public that could precipitate a phase of populism. An online survey run in May 2017 by Stuff.co.nz and Massey University (supported by comparable opinion polls) is used to investigate this. In spite of significant levels of dissatisfaction and desire for changes, the survey did not reveal a mood for disruptive or systemic political change in the short term. Nonetheless, political fragmentation of the kind seen in proportional systems in Europe could occur in New Zealand in the long term.     

Understanding neighbourhoods, communities and environments: new approaches for social work research

This article discusses some new ways in which social work research can explore the interaction between neighbourhoods and child and adult wellbeing. The authors note that social work practices are often criticised for taking an individualistic approach and paying too little attention to the service user's environment. The article uses examples of research projects from Chile, the United States of America and Wales, to discuss the use of spatially oriented research methods for understanding neighbourhood factors. Quantitative, qualitative and mixed methods approaches that are particularly appropriate for investigating social work relevant topics are discussed in turn, including quantitative and qualitative uses for geographical information systems (GIS), hierarchical linear modelling (HLM) for analysing spatially clustered data and qualitative mobile interviews. The article continues with a discussion of the strengths and limitations of using spatially orientated research designs in social work research settings and concludes optimistically with suggestions for future directions in this area.     

Fusing point and areal level space–time data with application to wet deposition

Summary.  Motivated by the problem of predicting chemical deposition in eastern USA at weekly, seasonal and annual scales, the paper develops a framework for joint modelling of point- and grid-referenced spatiotemporal data in this context. The hierarchical model proposed can provide accurate spatial interpolation and temporal aggregation by combining information from observed point-referenced monitoring data and gridded output from a numerical simulation model known as the 'community multi-scale air quality model'. The technique avoids the change-of-support problem which arises in other hierarchical models for data fusion settings to combine point- and grid-referenced data. The hierarchical space–time model is fitted to weekly wet sulphate and nitrate deposition data over eastern USA. The model is validated with set-aside data from a number of monitoring sites. Predictive Bayesian methods are developed and illustrated for inference on aggregated summaries such as quarterly and annual sulphate and nitrate deposition maps. The highest wet sulphate deposition occurs near major emissions sources such as fossil-fuelled power plants whereas lower values occur near background monitoring sites.     

Uncovering bias in order assignment

To mitigate sequencing effects in decision-making, many situations require a set of items to be considered in a random order. When such orderings are repeated, one can test whether randomization indeed obtains, or whether some orderings have been manipulated in order to achieve a favorable result. This paper articulates the key features of this problem and presents three general tests for randomness. These methods are used to analyze the order in which lottery numbers are drawn in Powerball, contestants perform on American Idol, and candidates are placed on election ballots. This last application features frequent manipulation, with potentially serious consequences.     

Understanding How Peer Mentoring and Capitalization Link STEM Students to Their Majors

This study investigated the role of peer mentoring and voluntary self‐development activities (i.e., capitalization) in anchoring science, technology, engineering, and mathematics students to their college majors. Online data were collected from 214 undergraduate students. As hypothesized, mentoring was positively related to capitalization, and both mentoring and capitalization were positively related to satisfaction with one's major, affective commitment to one's major, involvement in one's major, and willingness to be a mentor. Contrary to expectations, capitalization did not mediate the relationship between peer mentoring and student outcomes, suggesting that these constructs contribute independently to positive outcomes. Implications and future research directions are discussed.     

Reliability,Validity, and Classification Accuracy of the DSM-5 Diagnostic Criteria for Gambling Disorder and Comparison to DSM-IV

The DSM-5 was published in 2013 and it included two substantive revisions for gambling disorder (GD). These changes are the reduction in the threshold from five to four criteria and elimination of the illegal activities criterion. The purpose of this study was to twofold. First, to assess the reliability, validity and classification accuracy of the DSM-5 diagnostic criteria for GD. Second, to compare the DSM-5–DSM-IV on reliability, validity, and classification accuracy, including an examination of the effect of the elimination of the illegal acts criterion on diagnostic accuracy. To compare DSM-5 and DSM-IV, eight datasets from three different countries (Canada, USA, and Spain; total N = 3247) were used. All datasets were based on similar research methods. Participants were recruited from outpatient gambling treatment services to represent the group with a GD and from the community to represent the group without a GD. All participants were administered a standardized measure of diagnostic criteria. The DSM-5 yielded satisfactory reliability, validity and classification accuracy. In comparing the DSM-5 to the DSM-IV, most comparisons of reliability, validity and classification accuracy showed more similarities than differences. There was evidence of modest improvements in classification accuracy for DSM-5 over DSM-IV, particularly in reduction of false negative errors. This reduction in false negative errors was largely a function of lowering the cut score from five to four and this revision is an improvement over DSM-IV. From a statistical standpoint, eliminating the illegal acts criterion did not make a significant impact on diagnostic accuracy. From a clinical standpoint, illegal acts can still be addressed in the context of the DSM-5 criterion of lying to others.