The phrase "a different sample of children" is correct and usable in written English.
It can be used when referring to a distinct group of children selected for a study, survey, or experiment, differentiating them from another group.
Example: "In this study, we analyzed a different sample of children to compare the effects of the new educational program."
Alternatives: "another group of children" or "a distinct cohort of children".
The description of neuropsychological functions in this review is based on six studies, in which five different tests were used in five different samples of children with moderate NE.
That is, the repeated use of separate sample surveys -- a different sample each time -- at regular intervals, that cumulate into very large studies.
These methods were chosen because the original NHANES III included a large sample of children from different ethnic groups (including African Americans) that closely resembled our sample.
Each 1 week cycle of accelerometry was conducted on a different cohort of children within the total sample, with each cohort consisting of a different set of children.
Each cycle of accelerometry was conducted on a different cohort of children within the total sample and matched with weather data obtained from Environment Canada.
Therefore, the main aim of the present study was to evaluate total fluid intake provided by different types of beverages in a sample of children representative of the Belgian schoolchildren aged 8 to 13 years, in order to assess the percentage of individuals complying with the EFSA adequate intake for total fluid and for water intake.
The KIDSCREEN was developed in 13 different European countries and tested on a large representative sample of children and adolescents [ 30].
Our study has a few limitations: It was conducted on a clinical sample of children with headaches, meaning children who were referred to a specialized neurology clinic, and not on a sample of healthy children (like a school based study) that would identify children with headaches and then look into different aspects of their learning.
To understand selection into child health insurance, we run a multinomial logit regression of health insurance of different explanatory variables using the sample of children aged 6 to 14 in the 2006, 2008, 2010 and 2012 VHLSSs.
