893 resultados para design-based survey sampling


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Background: It is imperative to understand how to engage young women in research about issues that are important to them. There is limited reliable data on how young women access contraception in Australia especially in rural areas where services may be less available. Objective: This paper identifies the challenges involved in engaging young Australian women aged 18-23 years to participate in a web-based survey on contraception and pregnancy and ensure their ongoing commitment to follow-up web-based surveys. Methods: A group of young women, aged 18-23 years and living in urban and rural New South Wales, Australia, were recruited to participate in face-to-face discussions using several methods of recruitment: direct contact (face-to-face, telephone or email)and snowball sampling by potential participants inviting their friends. All discussions were transcribed verbatim and analyzed using thematic analysis. Results: Twenty young women participated (urban, n=10: mean age 21.6 years; rural, n=10: 20.0 years) and all used computers or smart phones to access the internet on a daily basis. All participants were concerned about the cost of internet access and utilized free access to social media on their mobile phones. Their willingness to participate in a web-based survey was dependent on incentives with a preference for small financial rewards. Most participants were concerned about their personal details and survey responses remaining confidential and secure. The most appropriate survey would take up to 15 minutes to complete, be a mix of short and long questions and eye-catching with bright colours. Questions on the sensitive topics of sexual activity, contraception and pregnancy were acceptable if they could respond with “I prefer not to answer”. Conclusions: There are demographic, participation and survey design challenges in engaging young women in a web-based survey. Based on our findings, future research efforts are needed to understand the full extent of the role social media and incentives play in the decision of young women to participate in web-based research.

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Quantitative data obtained by means of design-based stereology can add valuable information to studies performed on a diversity of organs, in particular when correlated to functional/physiological and biochemical data. Design-based stereology is based on a sound statistical background and can be used to generate accurate data which are in line with principles of good laboratory practice. In addition, by adjusting the study design an appropriate precision can be achieved to find relevant differences between groups. For the success of the stereological assessment detailed planning is necessary. In this review we focus on common pitfalls encountered during stereological assessment. An exemplary workflow is included, and based on authentic examples, we illustrate a number of sampling principles which can be implemented to obtain properly sampled tissue blocks for various purposes.

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Objective: To estimate the prevalence of inadequate nutrient intake among adolescents and the association between socio-economic variables and nutritional status. Design: Cross-sectional study with a population-based sample. Settings: The usual nutrient intake distribution was estimated using the Iowa State University method. The Estimated Average Requirement cut-off point method was used to determine the proportion of adolescents with inadequate intake for each nutrient, according to sex, income, parental educational level and nutritional status. Subjects: Twenty-four-hour dietary recalls were applied in 525 male and female Brazilian adolescents aged 14-18 years. Results: The highest prevalence of inadequate nutrient intake was observed for vitamin E (99% in both sexes). For male and female adolescents, the prevalence of inadequate intake was: Mg, 89% and 84%; vitamin A, 78% and 71 %; vitamin C, 79% and 53%; and vitamin B(6), 21% and 33%, respectively. The prevalence of inadequate intake for niacin, thiamin, riboflavin, Se, Cu and vitamin B(12) was <15 %. Individuals in the lower income and lower parental educational level strata had the highest risk of having inadequate intake for P, riboflavin and vitamins A, B(6) and B(12). Compared with non-overweight individuals, overweight individuals had a higher risk of inadequate intake for Mg, vitamin A, P, thiamin and riboflavin. Conclusions: The present study found a high prevalence of inadequate intake of nutrients that are recognised as being protective against chronic diseases. Adolescents in the lower income and lower parental educational level strata were less likely to have their nutrient intake requirements met.

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Objective: To identify food acquisition patterns in Brazil and relate them to the sociodemographic characteristics of the household. Design: A cross-sectional national Household Budget Survey (HBS). Principal component factor analysis was used to derive food patterns (factors) on the basis of the acquisition of food classified into thirty-two food groups. Setting: The source of data originates from the 2002-2003 HBS carried out by the Brazilian Institute of Geography and Statistics between June 2002 and July 2003 using a representative sample of all Brazilian households. Subject: A total of 48 470 households allocated into 443 strata of households that were geographically and socio-economically homogeneous as a study unit. Results: We identified two patterns of food acquisition. The first, named `dual`, was characterized by dairy, fruit, fruit juice, vegetables, processed meat, soft drinks, sweets, bread and margarine, and by inverse correlations with Brazilian staple foods. In contrast, the second pattern, named `traditional`, was characterized by rice, beans, manioc, flour, milk and sugar. The `dual` pattern was associated with higher household educational level, income and the average age of adults on the strata, whereas the `traditional` presented higher loadings in less-educated households and in the rural setting. Conclusions: Dietary patterns described here suggest that policies and programmes to promote healthy eating need to consider that healthy and non-healthy foods may be integral in the same pattern.

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The Prospective and Retrospective Memory Questionnaire (PRMQ) has been shown to have acceptable reliability and factorial, predictive, and concurrent validity. However, the PRMQ has never been administered to a probability sample survey representative of all ages in adulthood, nor have previous studies controlled for factors that are known to influence metamemory, such as affective status. Here, the PRMQ was applied in a survey adopting a probabilistic three-stage cluster sample representative of the population of Sao Paulo, Brazil, according to gender, age (20-80 years), and economic status (n=1042). After excluding participants who had conditions that impair memory (depression, anxiety, used psychotropics, and/or had neurological/psychiatric disorders), in the remaining 664 individuals we (a) used confirmatory factor analyses to test competing models of the latent structure of the PRMQ, and (b) studied effects of gender, age, schooling, and economic status on prospective and retrospective memory complaints. The model with the best fit confirmed the same tripartite structure (general memory factor and two orthogonal prospective and retrospective memory factors) previously reported. Women complained more of general memory slips, especially those in the first 5 years after menopause, and there were more complaints of prospective than retrospective memory, except in participants with lower family income.

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OBJECTIVE: To explore how current substance use, including the use of sports supplements and illicit drugs, may impact upon a person's future intentions to use anabolic-androgenic steroids (AAS).

DESIGN: Web-based survey.

PARTICIPANTS: Two hundred fourteen exercising males (mean age, 30 years; range, 17-61 years) recruited from 5 gymnasia in Sydney, Australia, completed a web-based survey. The survey contained questions relating to sport supplement use, illicit substance use, reasons for currently not using AAS, and reasons for intending to use AAS in the future.

INTERVENTIONS: Participants completed a structured interview schedule that included questions regarding licit and illicit substance use, reasons for non-AAS use, and, where appropriate, reasons for intended future AAS use.

MAIN OUTCOME MEASURES: The planned main outcome measure was positive intention to use AAS.

RESULTS:
Sixteen percent of the sample indicated that they would use AAS in the future. Reasons for future AAS use included increasing muscle size (80%), improving appearance (74%), and increasing strength (57%). Four-fifths (80%) of the sample reported use of sports supplements, with vitamins and protein supplements commonly reported (83% and 67%, respectively); more than one-third (36%) reported use of creatine in the past 6 months. Half (52%) of the sample reported use of illicit substances in the preceding 6 months, with amphetamines and cannabis commonly reported (66% and 62%, respectively). Significant predictors of intending to use AAS included past 6-month use of creatine and knowing AAS users.

CONCLUSIONS: The use of sport supplements and/or illicit substances may remove barriers for the future use of such drugs as AAS. Future research is necessary to explore in depth whether such substances may act as a "gateway" to future AAS use.

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BACKGROUND : Deakin engineering has used Design Based Learning (DBL) as one of its engineering learning principles for further development in teaching and learning. Whilst the students are surveyed after every unit, this data only provides a generic overview of the process and does not help the academic staff determine if DBL is a preferable learning and teaching approach. What is required to improve the process is a holistic approach from the students’ perspective over the entire degree program.

PURPOSE : Do students see any value in DBL and should it be is further developed for teaching and learning? This study examines students’ perceptions of DBL in their curriculum, DBL in final year project, DBL in engineering career.

DESIGN/METHOD : A survey dedicated to DBL from the students’ point of view has been designed and given to 30 fulltime students in 3rd year in engineering at Deakin. A qualitative and quantitative analysis of this survey will give students’ perspective of DBL as they progress through their degree studies.

RESULTS : The full time students’ surveyed indicated that they believed that DBL was a useful tool and was of value to their career. Also that it would be helpful as part of their final project and that it helps teamwork although they would like to see it used for both team and individual work.

CONCLUSIONS : The full time students’ surveyed displayed a basic understanding of DBL and an eagerness to use it. Students’ perceived that DBL approach got an important value in their learning curriculum and it is a positive sign for the Deakin engineering to use it as one of its engineering learning principle.

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The aim of this paper is to analyse and present cloud- link as well as campus-linked students’ perceptions of collaborative learning and design based learning in engineering. Project oriented design based learning (PODBL) is a learning and teaching approach, where students learn through design activities while being driven by project(s). PODBL enhances cloud-linked and campus-linked students’ ability to acquire career essential skills that fulfill future industry needs. A paper-based survey is used to recognise a cohort of students' experience of collaborative learning and design based learning in engineering. The paper-based survey was given to 30 students from an engineering discipline. The quantitative analysis of the survey results shows that more than 50% of the students view collaborative learning to have a large benefit in design-based learning.

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Health literacy is a multidimensional concept covering a range of cognitive and social skills necessary for participation in health care. Knowledge of health literacy levels in general populations and how health literacy levels impacts on social health inequity is lacking. The primary aim of this study was to perform a population-based assessment of dimensions of health literacy related to understanding health information and to engaging with healthcare providers. Secondly, the aim was to examine associations between socio-economic characteristics with these dimensions of health literacy.

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This paper focuses on the students and staff perceptions of project/design-based learning in an engineering curriculum. Engineering at Deakin University has used project/design based learning as one of its engineering learning principles for further development in learning and teaching. It is required to improve the learning and teaching process as a holistic approach from the perspective of students’ and staff over the entire degree program. Engaging students are an important aspect of the project/design based learning model which it helps students to be self-directed active learners. A project/design based learning environment helps a curriculum to practice career related skills for students, such as practical learning, problem solving, collaborative teamwork, innovative creative designs, active learning, and engagement with real-world assignments. The focus of this paper is to analyse the impact of project/design-based learning in an engineering curriculum. From the quantitative and qualitative analysis performed, the results are analysed and presented from a students’ and staff perspective about project/design based learning within the curriculum. This paper is also concerned with enhancing staff and students engagement through project/design based learning. The feedback was sought from students on project/design-based learning. Additional feedback is also needed from staff members who teach and perform research in engineering design. The survey results shows more than 50% of students and 75% of staff views on project/design based learning proven that the impact of project/design based learning is helps to enhance of student and staff interaction in the School of Engineering at Deakin University.

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This investigation is focused on evaluating assessment practices in design based learning environment. The School of Engineering at Deakin University practices project/design based learning as one of its learning and teaching approach. When identifying graduate attributes particularly for undergraduate engineering programs in Australia, the program accrediting body Engineers Australia (EA) initiates a set of graduate attribute elements which was mentioned in “Stage1 competencies and elements of competency”. Stage1 competencies state that one of the important engineering application ability for graduates is ‘application of systematic engineering synthesis and design processes’. By practicing the design focused learning environment and evaluating students perceptions, This investigation examines students’ experiences of assessment practices in their curriculum through an online survey given to the same cohort of students in third year and fourth year undergraduate engineering.

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We extend the random permutation model to obtain the best linear unbiased estimator of a finite population mean accounting for auxiliary variables under simple random sampling without replacement (SRS) or stratified SRS. The proposed method provides a systematic design-based justification for well-known results involving common estimators derived under minimal assumptions that do not require specification of a functional relationship between the response and the auxiliary variables.

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Although several surveys have been conducted around the world, few surveys have investigated the prevalence of dementia in Latin America. The aim of this study was to estimate dementia prevalence in a community sample in Ribeirao Preto, Brazil, and to evaluate its distribution across several socio-demographic and clinical characteristics and habits. The population was aged 60 years and older and a representative sample from three different social regions. The screening instruments used in the first phase were the Mini-Mental State Examination, the Fuld Object-Memory Evaluation, the Informant Questionnaire on Cognitive Decline in the Elderly, and the Bayer Activities of Daily Living Scale. In the second phase, the Cambridge Examination was employed to diagnose dementia according to the DSM-IV criteria. The estimate of dementia prevalence was adjusted for screening instrument performance, using the positive and negative predictive values. The data were weighted to compare frequencies, considering the sampling and the non-response effect, and subjected to multivariate analysis. In all, 1.145 elderly subjects were evaluated (mean age: 70.9 years), of whom 63.4% were female and 52.8% had up to 4 years of schooling (participation rates at the first and the second phases were 62.6 and 60%, respectively). The observed and estimated prevalences of dementia were 5.9% and 12.5%, respectively (n = 68). Alzheimer's disease was the main cause (60.3%). Dementia was associated with old age, low education, stroke, absence of arthritis, and not reading books. The estimated prevalence of dementia was higher than the prevalence previously found. Associated factors confirmed the importance of intellectual activities in prevention.

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In the last couple of decades we assisted to a reappraisal of spatial design-based techniques. Usually the spatial information regarding the spatial location of the individuals of a population has been used to develop efficient sampling designs. This thesis aims at offering a new technique for both inference on individual values and global population values able to employ the spatial information available before sampling at estimation level by rewriting a deterministic interpolator under a design-based framework. The achieved point estimator of the individual values is treated both in the case of finite spatial populations and continuous spatial domains, while the theory on the estimator of the population global value covers the finite population case only. A fairly broad simulation study compares the results of the point estimator with the simple random sampling without replacement estimator in predictive form and the kriging, which is the benchmark technique for inference on spatial data. The Monte Carlo experiment is carried out on populations generated according to different superpopulation methods in order to manage different aspects of the spatial structure. The simulation outcomes point out that the proposed point estimator has almost the same behaviour as the kriging predictor regardless of the parameters adopted for generating the populations, especially for low sampling fractions. Moreover, the use of the spatial information improves substantially design-based spatial inference on individual values.