72 research outputs found

    Stimulus equalization: A computer-based stimulus manipulation procedure for facilitating visual discriminations

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    Thesis (M.A.)--University of Kansas, Human Development and Family Life, 1984

    Pre-elementary Children With Imperfect Letter-Name Knowledge Are at Great Risk of Reading Difficulty in First Grade : One-Year Longitudinal Study in Japanese Hiragana

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    While letter-naming ability is a well-known preschool predictor of the later acquisition of literacy, little is known about an appropriate benchmark (i.e., how many letter names children must know at a given age) and how it may vary among different writing systems. The present study aimed to establish a letter-naming benchmark in Japanese Hiragana for pre-elementary children (age 5 to 6 years) and examined whether this benchmark predicts risk or success in later reading development via a one-year longitudinal survey. Children (N = 291) were assessed once in their pre-elementary year for Hiragana-naming accuracy and once in their first-grade year for oral reading fluency. As a result, the ability to name 40 of 45 letters was determined to be an optimal cut-off, and failure to meet it strongly predicted a risk of deficient reading fluency in first grade. These findings support the notion that Japanese children without near-perfect mastery of Hiragana-naming in their pre-elementary year are at great risk of reading difficulty in first grade. In addition, possible contrasts between Hiragana- and alphabet-naming indicated a need for further research in different languages and scripts to establish appropriate goals and policies for this foundational skill of reading in early education.Peer reviewe

    Towards capacity building and sustainability in engineering education in Southern Africa

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    Abstract: An acute shortage of appropriately-skilled engineers constrains economic growth and hinders sustainable development. This challenge is shared by most countries in Southern Africa, albeit at different scales. Recession in the region at the turn of the new millennium led to an exodus of experienced professionals, including engineers, seeking work abroad. As a result, most Higher Education Institutions (HEIs) have had to appoint fresh graduate engineers with little or no practical experience to offer training to future engineers. Realising this, the Royal Academy of Engineering (RAE) has partnered with the Faculty of Engineering at the University of Zimbabwe (UZ) to implement a project to enrich engineering education in Southern Africa in collaboration with other regional institutions and partners from industry. The broad objective of the project is to empower the young and inexperienced academics as well as reskill the senior ones through industrial attachments, professional training, knowledge sharing workshops and collaborations with other institutions. The project has recorded significant progress in all areas that were planned for implementation and plans are underway to establish a robust and sustainable network of Southern African Engineering Education Institutions, which by sharing and disseminating knowledge and best practices in engineering education will stimulate a synergistic raising of standards in engineering education across the region. This paper outlines progress that has been made since the inception of the project in August 2013 and strategises on ways in which engineering capacity can be built and sustained at these institutions by scaling up the project beyond the current phas

    Involvement of stakeholders in the water quality monitoring and surveillance system: The case of Mzingwane Catchment, Zimbabwe

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    Stakeholder participation is viewed as critical in the current water sector reforms taking place in the Southern African region. In Zimbabwe, policies and legislation encourage stakeholder participation. A study was undertaken to determine the extent of stakeholder participation in water quality monitoring and surveillance at the operational level, and also to assess indigenous knowledge and practices in water quality monitoring. Two hundred and forty one questionnaires were administered in Mzingwane Catchment, the portion of the Limpopo Basin that falls within Zimbabwe. The focus was on small users in rural communities, whose experiences were captured using a questionnaire and focus group discussions. Extension workers, farmers and NGOs and relevant sector government ministries and departments were also interviewed and a number of workshops held..

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    Using Geographic Information Systems and Spatial Analysis Methods to Assess Household Water Access and Sanitation Coverage in the SHINE Trial

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    Access to water and sanitation are important determinants of behavioral responses to hygiene and sanitation interventions. We estimated cluster-specific water access and sanitation coverage to inform a constrained randomization technique in the SHINE trial. Technicians and engineers inspected all public access water sources to ascertain seasonality, function, and geospatial coordinates. Households and water sources were mapped using open-source geospatial software. The distance from each household to the nearest perennial, functional, protected water source was calculated, and for each cluster, the median distance and the proportion of households within 1500 m of such a water source. Cluster-specific sanitation coverage was ascertained using a random sample of 13 households per cluster. These parameters were included as covariates in randomization to optimize balance in water and sanitation access across treatment arms at the start of the trial. The observed high variability between clusters in both parameters suggests that constraining on these factors was needed to reduce risk of bia

    Independent and combined effects of improved water, sanitation, and hygiene, and improved complementary feeding, on child stunting and anaemia in rural Zimbabwe: a cluster-randomised trial.

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    BACKGROUND: Child stunting reduces survival and impairs neurodevelopment. We tested the independent and combined effects of improved water, sanitation, and hygiene (WASH), and improved infant and young child feeding (IYCF) on stunting and anaemia in in Zimbabwe. METHODS: We did a cluster-randomised, community-based, 2â€ˆĂ—â€ˆ2 factorial trial in two rural districts in Zimbabwe. Clusters were defined as the catchment area of between one and four village health workers employed by the Zimbabwe Ministry of Health and Child Care. Women were eligible for inclusion if they permanently lived in clusters and were confirmed pregnant. Clusters were randomly assigned (1:1:1:1) to standard of care (52 clusters), IYCF (20 g of a small-quantity lipid-based nutrient supplement per day from age 6 to 18 months plus complementary feeding counselling; 53 clusters), WASH (construction of a ventilated improved pit latrine, provision of two handwashing stations, liquid soap, chlorine, and play space plus hygiene counselling; 53 clusters), or IYCF plus WASH (53 clusters). A constrained randomisation technique was used to achieve balance across the groups for 14 variables related to geography, demography, water access, and community-level sanitation coverage. Masking of participants and fieldworkers was not possible. The primary outcomes were infant length-for-age Z score and haemoglobin concentrations at 18 months of age among children born to mothers who were HIV negative during pregnancy. These outcomes were analysed in the intention-to-treat population. We estimated the effects of the interventions by comparing the two IYCF groups with the two non-IYCF groups and the two WASH groups with the two non-WASH groups, except for outcomes that had an important statistical interaction between the interventions. This trial is registered with ClinicalTrials.gov, number NCT01824940. FINDINGS: Between Nov 22, 2012, and March 27, 2015, 5280 pregnant women were enrolled from 211 clusters. 3686 children born to HIV-negative mothers were assessed at age 18 months (884 in the standard of care group from 52 clusters, 893 in the IYCF group from 53 clusters, 918 in the WASH group from 53 clusters, and 991 in the IYCF plus WASH group from 51 clusters). In the IYCF intervention groups, the mean length-for-age Z score was 0·16 (95% CI 0·08-0·23) higher and the mean haemoglobin concentration was 2·03 g/L (1·28-2·79) higher than those in the non-IYCF intervention groups. The IYCF intervention reduced the number of stunted children from 620 (35%) of 1792 to 514 (27%) of 1879, and the number of children with anaemia from 245 (13·9%) of 1759 to 193 (10·5%) of 1845. The WASH intervention had no effect on either primary outcome. Neither intervention reduced the prevalence of diarrhoea at 12 or 18 months. No trial-related serious adverse events, and only three trial-related adverse events, were reported. INTERPRETATION: Household-level elementary WASH interventions implemented in rural areas in low-income countries are unlikely to reduce stunting or anaemia and might not reduce diarrhoea. Implementation of these WASH interventions in combination with IYCF interventions is unlikely to reduce stunting or anaemia more than implementation of IYCF alone. FUNDING: Bill & Melinda Gates Foundation, UK Department for International Development, Wellcome Trust, Swiss Development Cooperation, UNICEF, and US National Institutes of Health.The SHINE trial is funded by the Bill & Melinda Gates Foundation (OPP1021542 and OPP113707); UK Department for International Development; Wellcome Trust, UK (093768/Z/10/Z, 108065/Z/15/Z and 203905/Z/16/Z); Swiss Agency for Development and Cooperation; US National Institutes of Health (2R01HD060338-06); and UNICEF (PCA-2017-0002)

    The development of customer perceptions into multi-level regression-based impact measures for the improvement of customer loyalty

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    M.B.A.Straddling the tropic of Capricorn, land-locked Botswana spans a vast 581,730 square kilometres in area. The country shares borders with Namibia to the north and west, Zambia and Zimbabwe to the north-east, and South Africa to the east and south. The Botswana Central Statistics Office (CSO) estimate a 2001 population of 1,68 million with an annual growth rate of 2.4% (Annual Economic Report, (2003)). The population is concentrated mainly in the fertile eastern and southern one third of the country. The remaining two thirds of the country's land is covered with the thick sands of the Kgalagadi Desert. Rainfall in the country is sporadic and erratic. According to the 2001 National Census the urban population of the country stands at 52.1% with the capital Gaborone accounting for 10.1% of the country's population. Francistown, the second and only other city, accounts for 4.9% of the country's population. The remainder of the urban population is distributed among 14 smaller urban centres. Gaborone accounts for 26.9% of the country's population between the ages of 25 and 54 years (Annual Economic Report, 2003.) 1.1.2. Communication The communication network is fairly sophisticated with 19.4% of the county's roads paved. The telephone network is fully digital, with Internet, e-mail, fax facilities available in all major centres of the country. Telex, data-switching, satellite-link and voice-mail service are also available nationwide. There are two cellular phone service provides and eleven internet service providers (ISPs). There are 27 Batswana to a telephone. (See Table 1: Botswana Social Statistics 2001 Table 1: Botswana Social Statistics: 2001 Life Expectancy 65.2 Population per Physician 3448 Persons per telephone 27 Persons per radio 95 Daily Newspapers 1 Persons per vehicle 21 Paved roads % 19.4 Primary School numbers 330,767 Tertiary education numbers 128,744 Literacy rate % 70 (Source: Annual Economic Report: 2003) 1.1.3. Economic performance Domestic output, as measured by Gross Domestic Product (GDP), is estimated to have grown, in nominal terms from P16.54 billion (SAR 25,47 billion) in 2000/2001 to P16.91 billion (SAR 26,04 billion) in 2001/2002, representing an increase of 2.3%. The increase for the previous year had been 17.2% (Annual Economic Report 2003) A slump in mining, with a growth rate of 3.1% (17.2% the previous year) was the major contributor to the slow growth. Banks, Insurance and Business services also shared significant growth among the non-mining sectors of the economy. (See Table 2: Economic Structure)
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