Sentence examples for language deviations from inspiring English sources

Assignments submitted are expected to follow standard writing features vaccinated from language deviations, editorial problems, or APA-related inconsistencies.

They usually advised students to comply with the requirements of the APA Style Sheet, the 6th edition or to follow standard writing features vaccinated against language deviations, editorial problems, or APA-related inconsistencies.

In syllabus No. 60, the course instructor informs his students of professional writing policy as follows: Assignments submitted are expected to follow standard writing features vaccinated from language deviations, editorial problems, or APA-related inconsistencies.

Different N400 patterns occur as soon as the signal discriminates a pseudoword from all other entries in a given language (deviation point).

Both models proved effective, with gains in language of 0.15 standard deviation in Haryana, and 0.70 standard deviations in Uttar Pradesh, on all students enrolled in these schools at baseline.

Ben-Gurion, who studied law in Istanbul, modeled himself on Ataturk, seeking to build an instantly modern society of like-minded and "ideal" citizens with few deviations in language or culture.

In short, these British nuclear families were ascertained on the basis of at least one child who had expressive or receptive language skills ≥1.5 standard deviations (s.d).

Children 8 11 years old (n = 55) diagnosed with receptive-SLI (confirmed by language scores falling 1standard deviation (SD) below the mean) had different profiles when compared to norms, and scored significantly lower in speech and sleep domains of the 17D questionnaire [ 10].

Summers wrapped it in the language of statistics, invoking standard deviations and such, but it's the same old stuff.

[FG5,F4]." The use of emotionally-charged language and description of dietary deviations as 'cheating' further supports the proposed complex relationship women have with food.

We needed 100 participants and 20 maternal and child health centre clusters (five participants per cluster) in each arm to detect a mean difference of 0.6 standard deviations in expressive language with 90% power at the 5% level of significance, allowing for the clustered design and up to 20% attrition.