Sentence examples for wording was evaluated from inspiring English sources

A pilot study involving a preliminary test questionnaire design and wording was evaluated at a neighbouring district general hospital during July 2007, and received 53 responses; however, data were discarded from this pilot study, as the small sample size precluded any significant statistical conclusions.

The recognition of familiar words was evaluated in 20-month-old children raised in a rhotic accent environment to parents that had either rhotic or non-rhotic accents.

They underwent extensive examination, including neurological/psychological and phonological tests, conducted in the current year of the present study; for each teenager, their speed of reading, text comprehension, as well as their capacity to read word/pseudo words was evaluated by using the L2MA battery [21].

Similar to LDA, estimation of topic distributions of words was evaluated with Log-likelihood score of the posterior distribution of words given topics, one of the standard criteria for generative model evaluation.

Co-occurrence of words is evaluated without consulting any external support.

In the first one, a list of 46 Arabic descriptors (including positive, neutral and negative words) were evaluated on a 9-point scale with 502 subjects, who were selected based on quota sampling of the Lebanese population by age and education.

The letter knowledge, phoneme identification and the decoding of pseudo-words were evaluated before and after the interventions.

Experiment 1a: Analysis of the correct responses showed that congruous target words were evaluated significantly faster than incongruous target words (see Figure 2A).

Statistical contrasts of faces versus scrambled faces and words versus scrambled words were evaluated.

A bilingual questionnaire was used to quantify the amount of language exposure from all adult speakers in the household, and subsequent word production was evaluated in both languages.

Design: A sample of the 100 top sites obtained with the search engine Google for the key word "menopause" was evaluated according to predefined general and specific criteria, content type, language, and quality.