Increasing the size of the sample can have an effect on the:
a. alpha level.
b. internal consistency.
c. measurement error.
d. Type II error.
ANS: D
A Type II error occurs when the null hypothesis is regarded as true when in fact it is false. A small sample size can contribute to a Type II error. Increasing the sample size can minimize the likelihood of a Type II error.
Alpha level is the level of significance decided upon by the researcher.
The internal consistency of a study is not dependent on sample size.
Measurement error can occur with any sample size.
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