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1

When determining the sample size, the researcher needs to consider which of the following?

  1. The desired power
  2. The expected effect size
  3. The acceptable level of significance
A
Only i
B
Only ii
C
ii and iii
D
i, ii and iii
2

Which of the following statements about power is correct?

A
Power is commonly denoted as β, which refers to a type II error (i.e. acceptance of a false null hypothesis)
B
Power is commonly denoted as 1 – β, in which β refers to a type I error (i.e. acceptance of a false null hypothesis)
C
Power refers to the probability that a statistical test will reject the null hypothesis when the null hypothesis is false.
D
Power refers to the probability that a statistical test will accept the null hypothesis when the null hypothesis is false.
3

Effect size is

  1. A qualitative measure of the magnitude of the difference between groups.
  2. A quantitative measure of the magnitude of the difference between groups.
  3. Particularly valuable for quantifying the effectiveness of a particular intervention.
A
Only i
B
Only ii
C
Only ii and iii
D
i, ii and iii
4

Which of the following is/are used as an index of effect size?

  1. Pearson’s correlation (r)
  2. Cohen’s d
  3. Eta-squared (η2)
A
Only i
B
Only ii
C
Only ii and iii
D
i, ii and iii
5

Which of the following statements about sample size is correct?

A
The smaller the sample size, the larger the variance of the sampling distribution of the mean.
B
The larger the sample size, the larger the variance of the sampling distribution of the mean.
C
The smaller the sample size, the smaller the variance of the sampling distribution of the mean.
D
The larger the sample size, the smaller the variance of the sampling distribution of the mean.
Please answer all the questions above to proceed