School sample size ranged from 44 to 619 students.
In this predominantly high school sample, quarterbacks and running backs had the highest incidence of concussion in football (Table 2).
It is important to make a note on the consensus of these components and elements across our school sample.
Analysis of comparative sample efficiency shows that the household sample is more efficient than the school sample, leading to the household sample getting a higher weight relative to its size in the consolidated sample relative to the school sample.
Therefore, partial measurement invariance across the elementary school and the middle school sample was established, and differences in the latent means between both groups were subsequently computed.
Including more variables for the match is generally better, although increasing the variables included in the matching procedure necessitates a larger school sample in both PISA and TALIS.
In the case of PISA and TALIS, the school sample sizes are markedly different; PISA, on average, samples twice as many schools as TALIS.
After expositing the logic of dual-frame designs, comparisons are presented of sample and population distributions on Census socio-demographic variables and, in the school sample, school characteristics.
In the present study of a convenience school sample, 477 students in grades 6 9 and second year in high school recorded the occurrence and intensity of headaches in a standard paper diary format during a 3-week period.
To date, only one previous study has been conducted in which children in an unselected school sample and their parents prospectively recorded headaches in the child during a 6-week period [11].
Table 2 presents the descriptive statistics for these replicated values together with the newly created HRL indices, average student mathematics achievement scores, student sample sizes, and school sample sizes.
