1. A  sampling process where each element of the population that is sampled is subjected to an independent Bernoulli trial which determines whether the element becomes part of the sample during the drawing of a single sample:

A. Simple Random Sampling

B. Stratified Random Sampling

C. Poisson sampling

D. Multistage Sampling

Answer Key

2. Data collection about everyone or everything in group or population and has the advantage of accuracy and detail:

A. Census

B. Survey

C. Probability sampling

D. Cluster sampling

Answer Key

3. The stages of sampling process comprises: (Multiple Response Question)

A. Defining the population

B. Specifying sampling frame

C. Specifying sampling method

D. Determining the sample size

E. Sampling and data collection

Answer Key

4. A sampling method which involves a random start and then proceeds with the selection of every kth element from then onwards (where k= population size/sample size):

A. Simple random sampling

B. Stratfied random sampling

C. Systematic sampling

D. Snowball sampling

Answer Key

5. Considerations for choosing sample size include:

A. The degree of precision required

B. Method of sampling

C. Way in which results will be analyzed

D. All of the above

Answer Key

6. The standard deviation of a sampling distribution is referred to as the:

A. Test statistic

B. Standard error

C. Confidence interval

D. Test of signaifiance

 

7. Sampling bias or the error resulting from taking a non-random sample of a population include:

A. Pre-screening

B. Self-Selection Bias

C. Selection from a Specific Area

D. Exclusion bias

E. All of the above

Answer Key

References

1. Polit H, Beck C T. Nursing research. 8th ed. New Delhi: Williams and Wilkins; 2008.
2. Burns N, Grove S K. Understanding nursing research. 4th ed. New Delhi: Elsevier; 2007.
3. Park JE, Park K. Text Book of Preventive and Social Medicine. 19th Edition. Jabalpur: M.S. Banarsidas Bhanot; 2007.
4. Questions from entrance examinations relevant to nursing conducted in India. (NIMHANS/AIIMS/Manipal/Kerala/All India etc..)
5. Cohen J. Statistical Power Analysis for the Behavioral Sciences. Erlbaum, Hillsdale, NJ; 1988.

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