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Responding on the basis of the order of stimulus presentation [35], [36] also requires discrimination of the age of items in working memory.
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The correlation coefficient between the age locations of items on the original and contemporary data sets was 0.99.
The results of the above analysis suggest that an eight item version of the scale would be more psychometrically robust, in that it would be free of item bias caused by the influence of baby age on Item 7, and also removes Item 8 which showed misfit to the model.
It is inevitable that in selecting an instrument for a particular age group one will have to trade-off the age specificity of item content with the benefits of potential comparability across ages [ 48].
Let c∈C be an individual item from a set C observed during a period T. We use t∈T to describe the age of an item (i.e., duration since the time it was published) and mark two important moments: indication time t i, representing the time we perform the prediction and reference time t r, the moment of time when we want to predict content popularity.
However, decisions in the 2-back task do depend upon the age of an item, so this task should show neural activity corresponding to the age of the memory.
While disambiguation comes in part from the identity of observations in working memory or CASR memory, additional disambiguation information is provided by the age of an item in working memory or the number of steps of CASR memory retrieved.
These simulations were successful because the task were solvable without specifically requiring discrimination based on the age of an item in working memory (though it is straightforward to construct "pathological" AMDPs where such information should be required).
Considering that 80% of caregivers had children under the age of three, item generation was predominantly based upon verbatim comments elicited by caregivers of infants and young children.
Check the age of the item.
Take into account the brand, style, condition, and age of each item while setting the price.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com