520 research outputs found

    Starting Research.

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    This paper provides a brief guide for students undertaking their first piece of research. The activity of research itself and the closely related process of writing a research report or thesis are so different from the standard work of students, that it is helpful to set down explicitly some of those things that experienced researches have often take for granted.RESEARCH ; ECONOMICS ; STUDENTS ; GUIDE

    Assessment of the dimensionality of the Wijma delivery expectancy/experience questionnaire using factor analysis and Rasch analysis

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    Background: Fear of childbirth has negative consequences for a woman's physical and emotional wellbeing. The most commonly used measurement tool for childbirth fear is the Wijma Delivery Expectancy Questionnaire (WDEQ-A). Although originally conceptualized as unidimensional, subsequent investigations have suggested it is multidimensional. This study aimed to undertake a detailed psychometric assessment of the WDEQ-A; exploring the dimensionality and identifying possible subscales that may have clinical and research utility. Methods: WDEQ-A was administered to a sample of 1410 Australian women in mid-pregnancy. The dimensionality of WDEQ-A was explored using exploratory (EFA) and confirmatory factor analysis (CFA), and Rasch analysis. Results: EFA identified a four factor solution. CFA failed to support the unidimensional structure of the original WDEQ-A, but confirmed the four factor solution identified by EFA. Rasch analysis was used to refine the four subscales (Negative emotions: five items; Lack of positive emotions: five items; Social isolation: four items; Moment of birth: three items). Each WDEQ-A Revised subscale showed good fit to the Rasch model and adequate internal consistency reliability. The correlation between Negative emotions and Lack of positive emotions was strong, however Moment of birth and Social isolation showed much lower intercorrelations, suggesting they should not be added to create a total score. Conclusion: This study supports the findings of other investigations that suggest the WDEQ-A is multidimensional and should not be used in its original form. The WDEQ-A Revised may provide researchers with a more refined, psychometrically sound tool to explore the differential impact of aspects of childbirth fear.Full Tex

    Effectiveness of training to promote routine enquiry for domestic violence by midwives and nurses: A pre-post evaluation study.

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    BACKGROUND: Asking women about experiences of domestic violence in the perinatal period is accepted best practice. However, midwives and nurses may be reluctant to engage with, or effectively respond to disclosures of domestic violence due a lack of knowledge and skills. AIM: To evaluate the impact of training on knowledge and preparedness of midwives and nurses to conduct routine enquiry about domestic violence with women during the perinatal period. METHOD: A pre-post intervention design was used. Midwives and nurses (n=154) attended a full day workshop. Of these, 149 completed pre-post workshop measures of knowledge and preparedness. Additional questions at post-training explored participants' perceptions of organisational barriers to routine enquiry, as well as anticipated impact of training on their practice. Training occurred between July 2015 and October 2016. FINDINGS: Using the Wilcoxon signed-rank test, all post intervention scores were significantly higher than pre intervention scores. Knowledge scores increased from a pre-training mean of 21.5-25.6 (Z=-9.56, p<0.001) and level of preparedness increased from 40.8 to 53.2 (Z=-10.12, p<0.001). Most participants (93%) reported improved preparedness to undertake routine enquiry after training. Only a quarter (24.9%) felt their workplace allowed adequate time to respond to disclosures of DV. CONCLUSIONS: Brief training can improve knowledge, preparedness, and confidence of midwives and nurses to conduct routine enquiry and support women during the perinatal period. Training can assist midwives and nurses to recognise signs of DV, ask women about what would be helpful to them, and address perceived organisational barriers to routine enquiry. Practice guidelines and clear referral pathways following DV disclosure need to be implemented to support gains made through training

    Growth and soluble carbohydrate content in relation to nutrient supply : a study of four grass species

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    The approach in this study to discover more about the relation between growth rate and adaptation to particular sites was an examination of the quantitative differences in growth, soluble carbohydrate and amino acid content in the four experimental species: Lolium perenne (S24 strain), Dactylis glomerata (S143 strain), Festuca rubra, and Agrostis tenuis. On the basis of the growth studies, the species cloud be seen to differ and form two groups: I. perenne and D. glomerata in one group, and A. tenuis and F. rubra in the other. When complete nutrient solutions were supplied to these species in treatments of increasing concentration the two groups were seen to differ in the pattern of response of their soluble carbohydrates. When the treatments used in further experiments differed only in nitrate, ammonium, nitrate/ammonium proportions and phosphate at different nitrate concentration, definite treatment effects were found in each species, and in many cases, the response of the species could be seen to be significantly different. Further, in many cases, the differences divided the species into the same two groups observed in the growth experiments. However, when the effects of the separate ions were examined, these species differences appeared to be due mainly to quantitative differences rather than to differences in pattern of response. The examination of amino acid content of the species did not appear to clarify the differences observed between the species, though this examination did explain some of the fluctuations of soluble sugar content which could in some cases be related to the yields and rates of growth in the species

    Comparison of Orchid Bee (Hymenoptera: Apidae) Species Composition Collected with Four Chemical Attractants

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    Orchid bees (Hymenoptera: Apidae: Euglossini) are a diverse and important group of Neotropical pollinators. Numerous chemicals have been used in sampling orchid bees, and species-specific attraction, particularly of males, to these chemicals is well known. However, there have been few studies that have quantified differences in the species composition of orchid bees attracted to particular chemicals. In this study, we compared the abundance and species composition of orchid bees collected with 4 commonly used attractants: benzyl acetate, eucalyptol (or cineole), eugenol, and methyl salicylate. Eucalyptol collected the greatest abundance and species richness of orchid bees. Indicator species analysis revealed that 3 species, Euglossa imperialis Cockerell, Euglossa obtusa Dressler, and Eufriesea mexicana (Mocsåry), were significantly associated with eucalyptol, and 1, Eulaema marcii Nemésio, with benzyl acetate. The multi-response permutation procedure revealed relatively large differences in species composition of orchid bees collected with eucalyptol vs. benzyl acetate and eucalyptol vs. eugenol. Our results showed that eucalyptol and benzyl acetate were the most effective and complimentary attractants, but even less effective attractants such as eugenol may attract novel species

    Development of a co‐designed, evidence‐based, multi‐pronged strategy to support normal birth

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    Australia's caesarean section (CS) rate has been steadily increasing for decades. In response to this, we co‐designed an evidence‐based, multi‐pronged strategy to increase the normal birth rate in Queensland and reduce the need for CS. We conducted three workshops with a multi‐stakeholder group to identify a broad range of options to reduce CS, prioritise these options, and achieve consensus on a final strategy. The strategy comprised of: universal access to midwifery continuity‐of‐care and choice of place of birth; multi‐disciplinary normal birth education; resources to facilitate informed decision‐making; respectful maternity care and positive workplace culture; and establishment of a Normal Birth Collaborative

    Predicting posttraumatic stress disorder after childbirth

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    Objective: around 50% of women report symptoms that indicate some aspect of their childbirth experience was 'traumatic', and at least 3.1% meet diagnosis for PTSD six months post partum. Here we aimed to conduct a prospective longitudinal study and examine predictors of birth-related trauma - predictors that included a range of pre-event factors - as a first step in the creation of a screening questionnaire. Method: of the 933 women who completed an assessment in their third trimester, 866 were followed-up at four to six week post partum. Two canonical discriminant function analyses were conducted to ascertain factors associated with experiencing birth as traumatic and, of the women who found the birth traumatic, which factors were associated with those who developed PTSD. Findings: a mix of 16 pre-birth predictor variables and event-specific predictor variables distinguished women who reported symptoms consistent with trauma from those who did not. Fourteen predictor variables distinguished women who went on to develop PTSD from those who did not. Conclusions: anxiety sensitivity to possible birthing problems, breached birthing expectations, and severity of any actual birth problem, predicted those who found the birth traumatic. Prior trauma was the single most important predictive factor of PTSD. Evaluating the utility of brief, cost-effective, and accurate screening for women at risk of developing birth-related PTSD is suggested

    Climate change alters impacts of extreme climate events on a tropical perennial tree crop

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    Anthropogenic climate change causes more frequent and intense fluctuations in the El Niño Southern Oscillation (ENSO). Understanding the effects of ENSO on agricultural systems is crucial for predicting and ameliorating impacts on lives and livelihoods, particularly in perennial tree crops, which may show both instantaneous and delayed responses. Using cocoa production in Ghana as a model system, we analyse the impact of ENSO on annual production and climate over the last 70 years. We report that in recent decades, El Niño years experience reductions in cocoa production followed by several years of increased production, and that this pattern has significantly shifted compared with prior to the 1980s. ENSO phase appears to affect the climate in Ghana, and over the same time period, we see corresponding significant shifts in the climatic conditions resulting from ENSO extremes, with increasing temperature and water stress. We attribute these changes to anthropogenic climate change, and our results illustrate the big data analyses necessary to improve understanding of perennial crop responses to climate change in general, and climate extremes in particular

    Micro-econometric and Micro-Macro Linked Models: Sequential Macro-Micro Modelling with Behavioral Microsimulations

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    Analyzing the poverty and distributional impact of macro events requires understanding how shocks or policy changes on the macro level affect household income and consumption. It is clear that this poses a formidable task, which of course raises the question of the appropriate methodology to address such questions. This paper presents one possible approach: A sequential methodology that combines a macroeconomic model with a behavioral micro-simulation. We discuss the merits and shortcomings of this approach with a focus on developing country applications with a short to medium run time horizon. - This chapter is a re-print of: Lay, J. (2010). Sequential macro-micro modelling with behavioural microsimulations. International Journal of Microsimulation, 3(1), 24-34

    Whole life performance assessment: critical success factors

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    Whole life costing (WLC) has become the best practice in construction procurement and it is likely to be a major issue in predicting whole life costs of a construction project accurately. However, different expectations from different organizations throughout a project's life and the lack of data, monitoring targets, and long-term interest for many key players are obstacles to be overcome if WLC is to be implemented. A questionnaire survey was undertaken to investigate a set of ten common factors and 188 individual factors. These were grouped into eight critical categories (project scope, time, cost, quality, contract/administration, human resource, risk, and health and safety) by project phase, as perceived by the clients, contractors and subcontractors in order to identify critical success factors for whole life performance assessment (WLPA). Using a relative importance index, the top ten critical factors for each category, from the perspective of project participants, were analyzed and ranked. Their agreement on those categories and factors were analyzed using Spearman's rank correlation. All participants identify “Type of Project” as the most common critical factor in the eight categories for WLPA. Using the relative index ranking technique and weighted average methods, it was found that the most critical individual factors in each category were: “clarity of contract” (scope); “fixed construction period” (time); “precise project budget estimate” (cost); “material quality” (quality); “mutual/trusting relationships” (contract/administration); “leadership/team management” (human resource); and “management of work safety on site” (health and safety). There was relatively a high agreement on these categories among all participants. Obviously, with 80 critical factors of WLPA, there is a stronger positive relationship between client and contactor rather than contractor and subcontractor, client and subcontractor. Putting these critical factors into a criteria matrix can facilitate an initial framework of WLPA in order to aid decision making in the public sector in South Korea for evaluation/selection process of a construction project at the bid stage
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