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The student samples from these countries were therefore not used in this study.
To begin, we investigated whether the student samples in control and module courses were equivalent.
Second, the RT distributions for items in each second-stage block were somewhat different between the student samples.
The student samples from Indonesia, Malaysia and Thailand were 5, 622, 5, 192 and 6, 602, respectively.
Research question 2: Were there individual differences between the student samples in the summer study and that in the academic year study?
For each item with comparable RT distributions among the two student samples, the student samples were combined to produce one set of RT distributions and conditional P+, which led to one RT threshold defined.
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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).
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.
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