Titlebook: Rasch Meta-Metres of Growth for Some Intelligence and Attainment Tests; David Andrich,Ida Marais,Sonia Sappl Book 2023 The Editor(s) (if a

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David Andrich,Ida Marais,Sonia Sapplgned for rapid location of particular coast sectors.This unique richly-illustrated account of the landforms and geology of the world’s coasts, presented in a country-by-country (state-by-state) sequence, assembles a vast amount of data and images of an endangered and increasingly populated and devel

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David Andrich,Ida Marais,Sonia Sapplgned for rapid location of particular coast sectors.This unique richly-illustrated account of the landforms and geology of the world’s coasts, presented in a country-by-country (state-by-state) sequence, assembles a vast amount of data and images of an endangered and increasingly populated and devel

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Book 2023 growth in intellectual variables. It goes on to show that this is indeed the case with all six tests analysed and considers some implications of this feature for understanding intellectual development, in particular the centrality of the growth trajectory set in early life. 

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erize growth in academic achievement.Showcases illustrationsThis book adapts Rasch’s approach for quantifying growth on physiological variables, where growth decelerates, to intellectual variables. To apply this approach, it is necessary to construct measurements in a constant unit over the relevant

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Some Implications of a Decelerating Meta-Metre for Attainment Variablesrate of growth is the same for a lower and a higher achieving group, the gap between the two groups will increase in terms of grade equivalents; and third, that it quantifies the well-known understanding that the trajectory of growth set in early childhood is critical to future growth.

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Application of a Meta-Metre to Physiological Examples of Growthfrom the growth in weight of babies in their first year, which was analysed using Rasch’s original approach. The results of the reanalysis show that the adaptation provided the same interpretation as the original approach, giving confidence in the necessary adaptation when applied to intellectual variables.