769 research outputs found

    Scarr, Francis J.

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    Military Information: Port Adj., Office, Captain, Commander of Company D, 136th Machine Gun Battalion.This project was assisted by a grant from the New Jersey Historical Commission, a division of the Department of State.Casualty Status: Illness/Injury (non-fatal). Severely wounded.Names of other Rutgers people: "Osborne, Abt, Miller, Woodward, "Pop"; (James Scarr, brother)

    Folensbee, Myron J.

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    Military Information: Draftee, Private, 10th Company 3rd Battalion, 152 Depot Brigade, Private, 15th Company, Company C., Coast Artillery School, Made Lieutenant of Coast Artillery at Fort Monroe .This project was assisted by a grant from the New Jersey Historical Commission, a division of the Department of State.Names of other Rutgers people: C. B. Jenkins, Russell Hartley, Walter Wood, Red Reeze, Adrian (sic) Fisher, Billy Bowles, Ralph P. White, Julian Miller, F. J. Scarr '17, J. B. Scarr '16; Wendell; Phillips; Worth; Coo

    Interaction of family SES with children's genetic propensity for cognitive and noncognitive skills:No evidence of the Scarr-Rowe hypothesis for educational outcomes

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    This study examines the role of genes and environments in predicting educational outcomes. We test the Scarr-Rowe hypothesis, suggesting that enriched environments enable genetic potential to unfold, and the compensatory advantage hypothesis, proposing that low genetic endowments have less impact on education for children from high socioeconomic status (SES) families. We use a pre-registered design with Netherlands Twin Register data (426 ≤ Nindividuals ≤ 3875). We build polygenic indexes (PGIs) for cognitive and noncognitive skills to predict seven educational outcomes from childhood to adulthood across three designs (between-family, within-family, and trio) accounting for different confounding sources, totalling 42 analyses. Cognitive PGIs, noncognitive PGIs, and parental education positively predict educational outcomes. Providing partial support for the compensatory hypothesis, 39/42 PGI × SES interactions are negative, with 7 reaching statistical significance under Romano-Wolf and 3 under the more conservative Bonferroni multiple testing corrections (p-value &lt; 0.007). In contrast, the Scarr-Rowe hypothesis lacks empirical support, with just 2 non-significant and 1 significant (not surviving Romano-Wolf) positive interactions. Overall, we emphasise the need for future replication studies in larger samples. Our findings demonstrate the value of merging social-stratification and behavioural-genetic theories to better understand the intricate interplay between genetic factors and social contexts.</p

    Teaching Advocacy in Early Years Initial Teacher Education Programmes

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    Teacher education programmes in the United States and in England with early childhood certification usually include courses with topics such as early childhood theory and curriculum, child development, model programs, and history of early childhood education but less often include courses with content focused specifically on advocacy. This article interrogates the possibility of developing courses on advocacy for pre-service teachers to build a knowledge base on advocacy for parents, families and children and to develop competency in inter-personal, cross-cultural communication. Drawing on data from Liebovich's study on beliefs about advocacy of early childhood education students in the United States, the authors share pre-service teachers' narratives about advocacy, discuss the process of moving from advocacy awareness to empowerment, and propose content for a university level course on advocacy in England and the United States. Using a feminist theoretical perspective, this study critiques teacher education programs and how student identity as advocates is rarely nurtured. The authors demonstrate how pre-service teachers reflect about the role teacher's play working with, informing, and empowering families to truly become collaborative partners in the education of their children

    What Is Equality?

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    book review of THE BELL CURVE: INTELLIGENCE AND CLASS STRUCTURE IN AMERICAN LIFE by Richard J. Hernstein and Charles Murra

    Lipman, Jacob G.

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    This project was assisted by a grant from the New Jersey Historical Commission, a division of the Department of State.Names of other Rutgers people: Carl R. Fellers, Herman J. Levine, James B. Scarr, Allen G. Waller, Joseph R. Neller, Robert F. Poole, S. A. Waksman, John Phillips Street '8

    Developing low-cost intelligent wireless sensor networks for aquatic environments

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    Aquatic environments are extremely difficult for developing, deploying, and maintaining wireless sensor networks. Networks deployed in aquatic settings face multiple challenges, such as marine fowling of equipment, limited power supply, communications difficulties, and restricted accessibility for maintaining and updating sensor nodes. The SEMAT project is an initiative to create "smart", low-cost, heterogeneous wireless sensor networks, tailored to alleviating the aforementioned constraints. Networks can be instantly deployable with minimal setup overheads and can utilise equipment from multiple vendors. This paper presents our experiences with developing the initial technologies to establish SEMAT for field tests. We present the design methodology and challenges faced for creating a marine-based heterogeneous wireless sensor network platform. The result is a low cost solution, with sufficient accuracy for undertaking a study into the factors contributing to Lyngbya algae blooms in Deception Bay, Queensland. The platform builds a case for the merits of the final SEMAT system, as ultimately many of the software and basic hardware challenges for future aquatic deployments have been overcome. This is significant as it allows researchers to focus on the area under study, rather than the specifics of setting up and managing the network
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