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This effective sample size is sufficiently large to detect a medium effect size.
The actual effective sample size is thus 5,271 people.
The effective sample sizes were 255 (preinternship) and 245 (postinternship).
Non-response to questionnaires reduces the effective sample size and can introduce bias.
However, the authors believe that the effective sample size should be clarified in further studies.
Subsequently, the effective sample size will be lower than the number of realized observations.
Recently, microextraction procedures are the most effective sample preparation methods prior analysis.
Subsequently, the effective sample size is less than the number of the realized observations.
Advantages and disadvantages are presented, with statistical calculations needed to determine the effective sample size.
This study establishes a new procedure for incorporating effective sample sizes into cluster sampling designs.
However, nonresponse to mailed questionnaires reduces the effective sample size and can introduce bias.
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