577 research outputs found

    The role of language in mathematical development: Evidence from children with specific language impairments

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    A sample (n=48) of eight year olds with Specific Language Impairments is compared with age-matched (n=55) and language matched controls (n=55) on a range of tasks designed to test the interdependence of language and mathematical development. Performance across tasks varies substantially in the SLI group, showing profound deficits in production of the count word sequence and basic calculation and significant deficits in understanding of the place-value principle in Hindu-Arabic notation. Only in understanding of arithmetic principles does SLI performance approximate that of age-matched-controls, indicating that principled understanding can develop even where number sequence production and other aspects of number processing are severely compromised

    Number skills and knowledge in children with specific language impairment

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    The number skills of groups of 7 to 9 year old children with specific language impairment (SLI) attending mainstream or special schools are compared with an age and nonverbal reasoning matched group (AC), and a younger group matched on oral language comprehension. The SLI groups performed below the AC group on every skill. They also showed lower working memory functioning and had received lower levels of instruction. Nonverbal reasoning, working memory functioning, language comprehension, and instruction accounted for individual variation in number skills to differing extents depending on the skill. These factors did not explain the differences between SLI and AC groups on most skills

    The Wholly Separate Truth: Did the Yellowstone Wolf Reintroduction Violate Section 10(J) of the Endangered Species Act?

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    The gray wolf has been listed as an endangered species since 1973. In 1995, the Department of the Interior and the United States Fish and Wild-life Service implemented the Northern Rocky Mountain Gray Wolf Recovery Plan (Recovery Plan), which was designed to bolster the endangered wolf population. Under the Recovery Plan, and pursuant to section 10(j) of the Endangered species Act, Canadian gray wolves were captured and released into Yellowstone National Park and central Idaho. The Recovery Plan has since been the subject of intense litigation by ranching groups over the last several years. The major allegation of the farm bureau federations is that the Recovery Plan, as implemented, violated section 1O(j), and these organizations want the reintroduced wolves removed. On January 13, 2000, the Tenth Circuit Court of Appeals delivered a major blow to the farm bureau federations involved in the litigation by holding that the Recovery Plan was conducted in full compliance with section lOW. The court ordered that the reintroduced wolves be allowed to stay in the recovery areas. The danger, however, to this and other reintroduction programs is not over. This Comment explores the legality of the Recovery Plan, ultimately endorsing a flexible reading of section 10(j) as it applies to the Yellowstone wolves, and offering such flexibility as a means of promoting future wildlife reintroduction programs

    Internet Ecologies of New Mothers: Trust, Variety and Strategies for Managing Diverse Information Sources

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    New parents are faced with the challenge of quickly acquiring a new base of knowledge, while simultaneously navigating a significant life change. While both new mothers and fathers experience new and unique parental demands, their early caregiving challenges differ and new mothers often search for different types of support and information online. We here present findings from an exploratory interview study of how new first-time mothers navigate online resources as they transition into parenthood. We find that many parenting tasks are supported by a variety of resources, which are often used in combination to accomplish a task. We also found that variety in sources was often valued over general source credibility, and new mothers relied on their own ability to filter information to assess how much to trust information. We also provide more general insight into the methods individuals used to gain domain knowledge in a completely new area

    Investigating Evidence in Support of Validity and Reliability for Data collected with the meaningful learning in the laboratory instrument (MLLI)

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    The Meaningful Learning in the Laboratory Instrument (MLLI) was designed to measure students’ expectations before and after their laboratory courses and experiences. Although the MLLI has been used in various studies and laboratory environments to investigate students’ cognitive and affective laboratory expectations, the authors of the instrument reported a discrepancy between the intended factor structure of the MLLI and the factor structure suggested by the data collected in preliminary studies. Therefore, the aim of this study was to investigate the validity and reliability evidence related to data collected with the MLLI, especially that related to structural validity. Evidence to support structural validity would provide greater meaning for the reporting and interpretation of MLLI scores. In this study, two possible a priori models for the factor structure of data collected from multiple institutions with the MLLI were investigated using confirmatory factory analysis (CFA). This initial investigation found poor data-model fit for each of the two tested models. Cognitive interviews and free response items were then used to inform modifications to the two a priori structures, and a third alternative structure, which included a negative method factor, was also investigated. Once a best fitting model was identified, further model revisions were informed by a combination of modification indices and qualitative data. Evidence of adequate-to-good data model fit was found for the final revised version of the MLLI, deemed the MLLIv2. Additionally, evidence of both internal structure validity and single administration reliability were found for each of the MLLIv2 factors. The structure of the data from these items leads to scale scores that likely represent student expectations that contribute to meaningful learning and student expectations that detract from meaningful learning. As the results of this study provide the first psychometrically supported scales for MLLI data, they have implications on the future reporting and analyses of MLLI scores

    A bitter pill? Institutional corruption and the challenge of antibribery compliance in the pharmaceutical sector

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    We investigate why top-down directives aimed at eradicating corruption are ineffective at altering on-the-ground practices for organizations that have adopted industry-wide “gold standards” to prevent bribery and corruption. Using interview and focus group data collected from leading multinational pharmaceutical firms, we unearth antecedents contributing to organizations’ systemic failure to embed their anticorruption policies in business practice. We identify two tensions that contribute to this disconnect: a culture clash between global and local norms, especially in emerging markets and a similar disconnect between the compliance and commercial functions. To overcome these tensions, we suggest that organizations are likely to find it easier to implement a no gifts policy if they cease to rely on local agents embedded in local norms and that there needs to be strong evidence of board-level commitment to antibribery programs, innovative ways of incentivizing compliant behavior, and a fundamental rethinking of organizations’ business model and remuneration practices

    Sample Size Calculations for Population Size Estimation Studies Using Multiplier Methods With Respondent-Driven Sampling Surveys.

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    BACKGROUND: While guidance exists for obtaining population size estimates using multiplier methods with respondent-driven sampling surveys, we lack specific guidance for making sample size decisions. OBJECTIVE: To guide the design of multiplier method population size estimation studies using respondent-driven sampling surveys to reduce the random error around the estimate obtained. METHODS: The population size estimate is obtained by dividing the number of individuals receiving a service or the number of unique objects distributed (M) by the proportion of individuals in a representative survey who report receipt of the service or object (P). We have developed an approach to sample size calculation, interpreting methods to estimate the variance around estimates obtained using multiplier methods in conjunction with research into design effects and respondent-driven sampling. We describe an application to estimate the number of female sex workers in Harare, Zimbabwe. RESULTS: There is high variance in estimates. Random error around the size estimate reflects uncertainty from M and P, particularly when the estimate of P in the respondent-driven sampling survey is low. As expected, sample size requirements are higher when the design effect of the survey is assumed to be greater. CONCLUSIONS: We suggest a method for investigating the effects of sample size on the precision of a population size estimate obtained using multipler methods and respondent-driven sampling. Uncertainty in the size estimate is high, particularly when P is small, so balancing against other potential sources of bias, we advise researchers to consider longer service attendance reference periods and to distribute more unique objects, which is likely to result in a higher estimate of P in the respondent-driven sampling survey
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