Failure to include some units, or entire sections, of the defined survey population in the actual ...

Failure to include some units, or entire sections, of the defined survey population in the actual operational sampling frame represents
 a. noncoverage error.
  b. nonresponse error.
  c. sampling error.
  d. random error.
  e. observation error.

Question 2

Increasing sample size __________ but may also __________.
 a. decreases sampling error, increase nonsampling error
  b. has no influence on sampling error, increase nonsampling error
  c. increases nonsampling error, increase sampling error
  d. increases sampling error, increase nonsampling error
  e. decreases nonsampling error, decrease sampling error

Question 3

A researcher investigating the consumption of sugar takes a random sample from the population and computes the mean sugar consumption. He repeats the procedure a number of times using the exact same procedure, and finds the means obtained vary from sample to sample. This is an example of
 a. systematic error.
  b. sampling error.
  c. nonsampling error.
  d. noncoverage error.
  e. response error.

Question 4

One difference between sampling and nonsampling errors is that as sample size increases, sampling errors will __________ while nonsampling errors __________.
 a. decrease, may even increase
  b. increase, decrease
  c. remain the same, may even increase
  d. increase, remain the same
  e. decrease, remain the same

Question 5

Nonsampling errors are
 a. random.
  b. non random.
  c. tend to bias sample statistics.
  d. Both b and c.
  e. a, b, and c.

Question 6

Nonsampling errors
 a. decrease with increases in sample size.
  b. can be easily estimated.
  c. distort the reliability of sample estimates.
  d. can be decreased by the use of sophisticated samples.
  e. are not very important.

Question 7

Nonsampling errors
 a. are as identifiable as sampling errors.
  b. decrease with sample size.
  c. may increase with sample size.
  d. are quite uncommon.
  e. have minimal impact on overall survey error.

Question 8

Which of the following is TRUE?
 a. Noncoverage, nonsampling error is best treated by increasing the sample size that is selected.
  b. Noncoverage, nonsampling error is essentially a sampling frame problem and if clear, complete, up to date sampling frames exist, noncoverage is not likely to be a problem.
  c. While noncoverage can be a source of bias, overcoverage is not. In fact, overcoverage may improve estimates as it means that the sample size is larger than initially planned at no increase in cost.
  d. Noncoverage bias is essentially eliminated with quota samples.
  e. Noncoverage error can be statistically estimated.

Question 9

The best way to reduce nonsampling errors is to
 a. increase sample size.
  b. improve data collection techniques.
  c. offer incentives to respondents.
  d. substitute the next house on the block for not at homes.
  e. Nonsampling errors cannot be reduced.

Question 10

Which of the following is TRUE concerning sampling errors?
 a. Sampling errors can be reduced by improving data collection methods.
  b. The degree of sampling error can be estimated.
  c. Sampling errors have been consistently shown to be the major contributor to total survey error.
  d. Sampling errors are frequently the most important errors that arise in research.
  e. It is difficult to estimate the size and effects of sampling errors.

Question 11

Which of the following is FALSE?
 a. It is not difficult to estimate the size and effects of nonsampling errors.
  b. Reduction of nonsampling error depends on improving method.
  c. Nonsampling errors are not as manageable as sampling errors.
  d. Nonsampling errors arise from weaknesses in research procedure. They are likely to increase with increases in the sample size.
  e. Nonsampling errors contribute more than sampling errors to total error in most surveys.