Chapter One Data Collection 1.5 Bias in Sampling

Objective(s) Explain the sources of bias in sampling

Give one pro and one con of using a simple random sample. Warm-up Explain in your own words what a simple random sample is. Give one pro and one con of using a simple random sample.

Definition Non-sampling errors are errors that result from the survey process. They are due to the non-response of individuals selected to be in the survey, inaccurate response, poorly worded questions, bias in the selection of individuals to be in the survey, etc.

Definition Sampling error is the error that results in using sampling to estimate information regarding a population. This type of error occurs because a sample does not give complete information about the population.

Sources of Non-sampling Error

Sources of Non-sampling Error Incomplete Frame

Sources of Non-sampling Error Incomplete Frame Non-response

Sources of Non-sampling Error Incomplete Frame Non-response Poor Interviewer

Sources of Non-sampling Error Incomplete Frame Non-response Poor Interviewer Incorrect Data Entry

Sources of Non-sampling Error Incomplete Frame Non-response Poor Interviewer Incorrect Data Entry Poorly worded question Open versus Closed Question Ordering of Questions