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Noticeable limitations (i.e., the student sample, correlational design, and medium effect size) suggest that more research is required.
Appendix A summarizes the characteristics of the student sample.
The student sample consisted of 111 male students (50.2 %), the mean sample age was 21.90 years (SD = 1.50).
The demographic characteristics of the student sample resemble the demographics of the population of the county in terms of first and second language users (U.S. Census Bureau 2010).
Future research should consider expanding the size and diversity of the student sample, while also taking the teacher population into account.
Due to the structure of the student sample and the fact that students belonged to different classes, we used a clustering method to correct the standard errors.
The variable total student weight was normalized so that the sum of the weights was equal to the student sample size in the data.
The student sample we used to examine our research questions comprises 49 of 53 students (17 male, 32 female) with a mean age of 19.2 years (SD = 3.55), who were all in their first year of apprenticeship.
This relationship is significant only in the student sample and not in the MVD sample.
In the student sample, subjects were provided with a login and password to an online site and upon entering were provided with instructions for the DG and SVO.
Parents of the student sample were also genotyped to allow for a family based analysis, however parents did not participate in the games.
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CEO of Professional Science Editing for Scientists @ prosciediting.com