Increasing the size of the sample can have an effect on the: ...

[ishan]

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.

Question 2

In interpreting findings of a study, the researcher should:
 
  a. avoid discussion of problems encountered while doing the study that might influence outcomes.
  b. emphasize that statistically significant findings must be incorporated into practice.
  c. relate findings back to the purpose and framework of the study.
  d. speculate about what the findings might mean to nursing practice.

[DHRUVSHAH]

Answer to Question 1

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.

Answer to Question 2

ANS: C
Findings in a study are the translated and interpreted results of the data analysis. Results of the data analysis must be interpreted by attaching meaning to the findings. This meaning should be interpreted in light of the study framework and be consistent with the original purpose of the study.
Discussion of problems encountered with the research can be very helpful to future researchers in the area.
Incorporation of findings into practice would be encouraged in the discussion section.
Speculation about the possible meaning of the findings is presented in the conclusion section.

[ishan]

Correct answers!

[DHRUVSHAH]

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