1. Chapter One Data Collection
1.5
Bias in Sampling

2. Objective(s)
Explain the sources of bias in sampling

3. 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.

4. 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.

5. 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.

6. Sources of Non-sampling Error

7. Sources of Non-sampling Error
Incomplete Frame

8. Sources of Non-sampling Error
Incomplete Frame
Non-response

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

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

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