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May Hale Michael F. McKay Marie D. Neale 《International Journal of Disability, Development & Education》1986,33(2):116-124
This study investigated the predictive validity of decisions made by a pre‐school teacher concerning the cognitive and social maturity of her pupils to enter formal schooling, based on their performance on the Neale Scales of Early Childhood Development.Thirty‐five children selected from the rolls of a Melbourne pre‐school which had maintained records over a ten‐year period were followed up in primary school and their reading ability assessed. Findings showed that subjects who had undertaken an additional pre‐school year following advice based on their Neale Scales’ performance were reading significantly better than those who had displayed similar developmental anomalies but who bad not been exposed to further pre‐school experience; moreover, the former were reading as well as or better than children selected on the basis of their pre‐school profiles as being ready for school. 相似文献
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Doctoral training is strongly focused on honing research skills at the expense of developing teaching competency. As a result, emerging academics are unprepared for the pedagogical requirements of their early-career academic roles. Employing an action research approach, this study investigates the effectiveness of a competency-based teaching development intervention that aims to improve the teaching self-efficacy of doctoral candidates. To conduct this research, we apply the theoretical framework of Cognitive Apprenticeship Theory, a theory of social learning that requires learners to participate in a community of inquiry. Participants report significantly higher levels of teaching self-efficacy and a stronger sense of connectedness to the wider academic community. 相似文献
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Joshua N. Pritikin Lance M. Rappaport Michael C. Neale 《Structural equation modeling》2017,24(3):395-401
The precision of estimates in many statistical models can be expressed by a confidence interval (CI). CIs based on standard errors (SEs) are common in practice, but likelihood-based CIs are worth consideration. In comparison to SEs, likelihood-based CIs are typically more difficult to estimate, but are more robust to model (re)parameterization. In latent variable models, some parameters might take on values outside of their interpretable range. Therefore, it is desirable to place a bound to keep the parameter interpretable. For likelihood-based CI, a correction is needed when a parameter is bounded. The correction is known (Wu & Neale, 2012), but is difficult to implement in practice. A novel automatic implementation that is simple for an applied researcher to use is introduced. A simulation study demonstrates the accuracy of the correction using a latent growth curve model and the method is illustrated with a multilevel confirmatory factor analysis. 相似文献
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Metacognition and Learning - There is evidence that parents could influence the development of their children’s effortful control in infancy through social interaction. Playful interactions... 相似文献
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Dave Neale 《牛津教育评论》2013,39(3):334-345
Recently, Stephen Gorard has outlined strong objections to the use of significance testing in social research. He has argued, first, that as the samples used in social research are almost always non-random it is not possible to use inferential statistical techniques and, second, that even if a truly random sample were achieved, the logic behind the calculation and interpretation of p-values is fundamentally flawed. Arguments against Gorard's position have focused almost exclusively on the first point (the non-random nature of samples) despite the fact that it is the second point which is the more important: if the logic of significance testing is indeed flawed, then whether non-random samples are a problem or not becomes irrelevant. This article aims to show that the logic of significance testing is not flawed in the ways which Gorard claims because: 1) samples do contain real information about the population from which they are derived; and 2) under certain assumptions the p-value can reflect—or at least be a reasonable proxy for—the probability of the null hypothesis being true given the data. 相似文献
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