Sustainable Development Appraisal (SDA): A methodological tool for the participatory assessment of sustainability from local to regional planning levels

The term 'sustainable development' is receiving increasing attention in development co-operation and at the global level. However, practical tools which can help local users and multi-disciplinary teams to work together and apply this general concept at the local to regional levels have' emerged only very recently. This paper describes a tool called 'Sustainable Development Appraisal' (SDA), which is based on the principles of sustainable development, and can be applied by small interdisciplinary teams using a transdisciplinary approach, i.e. in participation with local land users and other stakeholders at various levels of intervention. The SDA has been applied in different parts of the globe. It is receiving considerable attention, and may fulfil most requirements contained in the concept of sustainable development, and yet be practically applicable and useful in the local to regional context. Examples from Eritrea and Ethiopia are used in this paper 'to illustrate the practicability of SDA for development planning and implementation.

New Sites, New Challenges? Ethical and Methodological Questions in the Context of Research on Migration Exclusion

The challenges of research ethics and methodologies have been reflected on extensively, but – aside from the context of feminist methodologies – less so in relation to research on particular migration sites such as in transit, detention centres, at the borders or within migration administration. First attempts in this direction have been made (Düvell et al. 2010, Fresia et al. 2005, Riedner 2014, van Liempt/Bilger2009), however, more reflection and theorization is needed, considering the contested nature of these temporal and volatile sites. In this workshop, we thus aim at examining methodological as well as ethical questions that arise during field work: We attempt to reflect the power relations involved in the research process, the ethics of research design, the dissemination of research results, the question of gaining access to and – whenever necessary – staying in contact with our research subjects. How can we negotiate informed consent with subjects whose life is currently marked by transit and insecurity concerning their own future, and who are in an uncertain situation in which substantial information (legal, social, cultural etc.) is likely to be missing? How do we deal with the dilemma of possibly contributing to knowledge production that might facilitate removals and deportations in the future, considering that the reception of the results is not in the hands of the researchers? How do we deal with the anticipated as well as unexpected impacts of our research on social and political practice? Regarding fieldwork in state institutions, how do we negotiate the multiple loyalties we often find ourselves faced with as social researchers, both with the excluded migrants and with the authorities implementing the exclusions – two groupings considered to be opposite to each other (Lavanchy 2013)? Which different roles do researchers need to take on? The aim of our workshop is first and foremost to exchange experiences on fieldwork with others doing qualitative research on related topics and to consider its possible implications – including affective dimensions – for all participants involved in the research process: the migrants, the security staff of detention centres, its social workers, border police and bureaucrats and, last but not least, the researchers themselves. Furthermore, we generally wish to reflect upon the question of how best to conduct research in this contested field, applying an interdisciplinary perspective.

Methodological Report on Kaul and Wolf's Working Papers on the Effect of Plain Packaging on Smoking Prevalence in Australia and the Criticism Raised by OxyRomandie

This report contains a methodological assessment of two working papers by Ashok Kaul and Michael Wolf on the effect of plain packaging on smoking prevalence in Australia and the criticism raised against these working papers by OxyRomandie. First, the potential of the data used by Kaul and Wolf for identifying causal effects is discussed. Second, a reanalysis of the data is provided. Third, the criticism raised by OxyRomandie is commented.

Methodological and physiological test-retest reliability of (13) C-MRS glycogen measurements in liver and in skeletal muscle of patients with type 1 diabetes and matched healthy controls.

Glycogen is a major substrate in energy metabolism and particularly important to prevent hypoglycemia in pathologies of glucose homeostasis such as type 1 diabetes mellitus (T1DM). (13) C-MRS is increasingly used to determine glycogen in skeletal muscle and liver non-invasively; however, the low signal-to-noise ratio leads to long acquisition times, particularly when glycogen levels are determined before and after interventions. In order to ease the requirements for the subjects and to avoid systematic effects of the lengthy examination, we evaluated if a standardized preparation period would allow us to shift the baseline (pre-intervention) experiments to a preceding day. Based on natural abundance (13) C-MRS on a clinical 3 T MR system the present study investigated the test-retest reliability of glycogen measurements in patients with T1DM and matched controls (n = 10 each group) in quadriceps muscle and liver. Prior to the MR examination, participants followed a standardized diet and avoided strenuous exercise for two days. The average coefficient of variation (CV) of myocellular glycogen levels was 9.7% in patients with T1DM compared with 6.6% in controls after a 2 week period, while hepatic glycogen variability was 13.3% in patients with T1DM and 14.6% in controls. For comparison, a single-session test-retest variability in four healthy volunteers resulted in 9.5% for skeletal muscle and 14.3% for liver. Glycogen levels in muscle and liver were not statistically different between test and retest, except for hepatic glycogen, which decreased in T1DM patients in the retest examination, but without an increase of the group distribution. Since the CVs of glycogen levels determined in a "single session" versus "within weeks" are comparable, we conclude that the major source of uncertainty is the methodological error and that physiological variations can be minimized by a pre-study standardization. For hepatic glycogen examinations, familiarization sessions (MR and potentially strenuous interventions) are recommended. Copyright © 2016 John Wiley & Sons, Ltd.

Perhaps Triangulation Isn’t Enough: a Call for Crystallization as a Methodological Referent in NOS Research

This research compares the methodological tools employed in NOS research, with analysis of what the comparison implies about the structure of nature of science knowledge. Descriptions of practicing teachers’ nature of science conceptions were compared based on data collected from forced choice responses, responses to a qualitative survey, and course writing samples. Participants’ understandings were scored differently on the Views of Nature of Science Questionnaire (VNOS) than the forced-choice measure, Scientific Thinking and Internet Learning Technologies (STILT). In addition, analysis of the writing samples and observations combined with interviews portrayed more sophisticated, but more variable, understandings of the nature of science than was evidenced by either the survey or the forced-choice measure. The differences between data collection measures included the degree to which they drew upon context bound or context general reasoning, the degree to which they required students to move beyond the simple intelligibility of their responses and allowed students to explore the fruitfulness of the constructs, as well as the degree to which they revealed the interconnection of participants NOS conceptions. In light of the different portrayals of a participants NOS conceptions yielded by these different measures, we call for the use of crystallization as a methodological referent in research.

Determining associations and assessing methodological issues in a case-control study of hazardous air pollutants and neural tube defects

Recent studies have reported positive associations between maternal exposures to air pollutants and several adverse birth outcomes. However, there have been no assessments of the association between environmental hazardous air pollutants (HAPs) such as benzene, toluene, ethylbenzene, and xylene (BTEX) and neural tube defects (NTDs) a common and serious group of congenital malformations. Before examining this association, two important methodological questions must be addressed: (1) is maternal residential movement likely to result in exposure misclassification and (2) is it appropriate to lump defects of the neural tube, such as anencephaly and spina bifida, into a composite disease endpoint (i.e., NTDs). ^ Data from the National Birth Defects Prevention Study and Texas Birth Defects Registry were used to: (1) assess the extent to which change of residence may result in exposure misclassification when exposure is based on the address at delivery; (2) formally assess heterogeneity of the associations between known risk factors for NTDs, using polytomous logistic regression; and (3) conduct a case-control study assessing the association between ambient air levels of BTEX and the risk of NTDs among offspring. ^ Regarding maternal residential mobility, this study suggests address at delivery was not significantly different from using address at conception when assigning quartile of benzene exposure (OR 1.0, 95% CI 0.9, 1.3). On the question of effect heterogeneity among NTDs, the effect estimates for infant sex P = 0.017), maternal body mass index P = 0.016), and folate supplementation P = 0.050) were significantly different for anencephaly and spina bifida, suggesting it is often more appropriate to assess potential risk factors among subgroups of NTDs. For the main study question on the association between environmental HAPs and NTDs, mothers who have offspring with isolated spina bifida are 2.4 times likely to live in areas with the highest benzene levels (95% CI 1.1, 5.0). However, no other significant associations were observed.^ This project is the first to include not only an assessment of the relationship between environmental levels of BTEX and NTDs, but also two separate studies addressing important methodological issues associated with this question. Our results contribute to the growing body of evidence regarding air pollutant exposure and adverse birth outcomes. ^

Statistical and methodological challenges for disaster preparedness and medical needs assessment in Rio Grande Valley of Texas

In recent years, disaster preparedness through assessment of medical and special needs persons (MSNP) has taken a center place in public eye in effect of frequent natural disasters such as hurricanes, storm surge or tsunami due to climate change and increased human activity on our planet. Statistical methods complex survey design and analysis have equally gained significance as a consequence. However, there exist many challenges still, to infer such assessments over the target population for policy level advocacy and implementation. ^ Objective. This study discusses the use of some of the statistical methods for disaster preparedness and medical needs assessment to facilitate local and state governments for its policy level decision making and logistic support to avoid any loss of life and property in future calamities. ^ Methods. In order to obtain precise and unbiased estimates for Medical Special Needs Persons (MSNP) and disaster preparedness for evacuation in Rio Grande Valley (RGV) of Texas, a stratified and cluster-randomized multi-stage sampling design was implemented. US School of Public Health, Brownsville surveyed 3088 households in three counties namely Cameron, Hidalgo, and Willacy. Multiple statistical methods were implemented and estimates were obtained taking into count probability of selection and clustering effects. Statistical methods for data analysis discussed were Multivariate Linear Regression (MLR), Survey Linear Regression (Svy-Reg), Generalized Estimation Equation (GEE) and Multilevel Mixed Models (MLM) all with and without sampling weights. ^ Results. Estimated population for RGV was 1,146,796. There were 51.5% female, 90% Hispanic, 73% married, 56% unemployed and 37% with their personal transport. 40% people attained education up to elementary school, another 42% reaching high school and only 18% went to college. Median household income is less than $15,000/year. MSNP estimated to be 44,196 (3.98%) [95% CI: 39,029; 51,123]. All statistical models are in concordance with MSNP estimates ranging from 44,000 to 48,000. MSNP estimates for statistical methods are: MLR (47,707; 95% CI: 42,462; 52,999), MLR with weights (45,882; 95% CI: 39,792; 51,972), Bootstrap Regression (47,730; 95% CI: 41,629; 53,785), GEE (47,649; 95% CI: 41,629; 53,670), GEE with weights (45,076; 95% CI: 39,029; 51,123), Svy-Reg (44,196; 95% CI: 40,004; 48,390) and MLM (46,513; 95% CI: 39,869; 53,157). ^ Conclusion. RGV is a flood zone, most susceptible to hurricanes and other natural disasters. People in the region are mostly Hispanic, under-educated with least income levels in the U.S. In case of any disaster people in large are incapacitated with only 37% have their personal transport to take care of MSNP. Local and state government’s intervention in terms of planning, preparation and support for evacuation is necessary in any such disaster to avoid loss of precious human life. ^ Key words: Complex Surveys, statistical methods, multilevel models, cluster randomized, sampling weights, raking, survey regression, generalized estimation equations (GEE), random effects, Intracluster correlation coefficient (ICC).^