1. Chapter Ten Copyright © 2006 John Wiley & Sons, Inc. Basic Sampling Issues

2. John Wiley & Son, Inc. 2 1. To understand the concept of sampling. 2. To learn the steps in developing a sampling plan. 3. To understand the concepts of sampling error and nonsampling error. 4. To understand the differences between probability samples, and nonprobability samples. 5.To understand sampling implications of surveying over the Internet. Learning Objectives

3. John Wiley & Son, Inc. 3 To understand the concept of sampling. The Concept of Sampling Sampling Defined: –The process of obtaining information from a subset of a larger group. –A market researcher takes the results from the sample to make estimates of the larger group. –Sampling a small percentage of a population can result in very accurate estimates. –The sample must be selected in a scientific manner to ensure that it is representative of the population from which it was selected

4. John Wiley & Son, Inc. 4 Population or Universe –The population or population of interest is the total group of people from whom information is needed. –Based on the characteristics of current or target customer –Defining the population of interest is the first step in the sampling process –Requires good logic and judgment To understand the concept of sampling The Concept of Sampling

5. John Wiley & Son, Inc. 5 To understand the concept of sampling Sample versus Census –Census: Data about every member of the population. –Sample: A subset of the population The Concept of Sampling

6. John Wiley & Son, Inc. 6 Step1. Define the Population of Interest Step 2. Choose Data Collection Method Step 3. Choose Sampling Frame Step 4. Select a Sampling Method Step 5. Determine Sample Size Step 6. Develop Operational Plan Step 7. Execute Operational Plan Exhibit 10.1 Developing a Sample Plan

7. John Wiley & Son, Inc. 7 To learn the steps in developing a sample plan. Developing A Sampling Plan Step One: Defining the Population of Interest –Specify some combination of the following Geography characteristics Demographic characteristics Product or service use characteristics Awareness measures –Create Screening questions to eliminate individuals who do not belong in the population of interest –Also define the characteristics of those that should be excluded.

8. John Wiley & Son, Inc. 8 To learn the steps in developing a sample plan. Step Two: Choose Data Collection Method –Data collection methods have implications for the sampling process Step Three: Choosing Sampling Frame –A list of elements or members from which the units to be sampled are selected –Identify the sampling frame—telephone book or random-digit dialing. Developing A Sampling Plan

9. John Wiley & Son, Inc. 9 Step Four: Select a Sampling Method –The selection will depend on: The objectives of the study The financial resources available Time limitations The nature of the problem Developing A Sampling Plan To learn the steps in developing a sample plan.

10. John Wiley & Son, Inc. 10 Sampling methods Probability samples Systemati c Cluster Stratified Simple random Nonprobabilit y samples Convenienc e Judgment Snowball Quota Exhibit 10-5 Classification of Sampling Methods

11. John Wiley & Son, Inc. 11 Probability Samples –A known, nonzero probability of selection –Simple random sample Every member of the population has a known and equal chance of being selected The laws of probability are in effect Allows sampling error to be calculated To understand the differences between probability samples and nonprobability samples Developing A Sampling Plan

12. John Wiley & Son, Inc. 12 Nonprobability Samples –Elements selected in a nonrandom manner. Nonrandomness—selected on the basis of convenience Purposeful nonrandomness—systematically excludes or overrepresents certain subsets of the population To understand the differences between probability samples and nonprobability samples Developing A Sampling Plan

13. John Wiley & Son, Inc. 13 –Advantages Of Probability Samples Information from a representative cross-section Sampling error can be computed Results are projectable to the total population. – Disadvantages Of Probability Samples More expansive than nonprobabiity samples Take more time to design and execute. Developing A Sampling Plan To understand the differences between probability samples and nonprobability samples

14. John Wiley & Son, Inc. 14 –Disadvantages of Nonprobability Samples Sampling error cannot be computed Representativeness of the sample is not known Results cannot be projected to the population. –Advantages of Nonprobability Samples Cost less than probability Can be conducted more quickly Produces samples that are reasonably representative. Developing A Sampling Plan To understand the differences between probability samples and nonprobability samples

15. John Wiley & Son, Inc. 15 Steps In Developing A Sampling Plan To learn the steps in developing a sample plan. Step Five: Determine Sample Size –Discussed more in depth in Chapter 11 –Nonprobability Samples available budget rules of thumb number of subgroups to be analyzed in their determination of sample size –Probability Samples Acceptable error Levels of confidence –The ability to make statistical inferences about population values

16. John Wiley & Son, Inc. 16 Steps In Developing A Sampling Plan To learn the steps in developing a sample plan Step Six: Develop of Operational Procedures for Selecting Sample Elements –Specify whether a probability or nonprobability sample is being used –Procedures—detailed, clear, and unambiguous –Failure to do so can jeopardize the entire sampling process Step Seven: Execute the Sampling Plan –Requires adequate checking to ensure that specified procedures are done.

17. John Wiley & Son, Inc. 17 To understand the concepts of sampling error and nonsampling error. Sampling And Nonsampling Errors  + - ss  ns + - X = X = sample mean  = true population mean ss = sampling error  ns = nonsampling error Sampling Error –The error that results when the same sample is not perfectly representative of the population. Two types of sampling error:

18. John Wiley & Son, Inc. 18 Probability Sampling Methods To understand differences between probability samples and nonprobability samples Simple Random Sampling –Purest form of probability sampling –Known and equal probability is computed as follows: Probability of selection = Using sampling frame the researcher can select a simple random sample –Assign a number to each element of the population –Using a table of random numbers begin at some arbitrary point and move up, down, or across Sample Size Population Size

19. John Wiley & Son, Inc. 19 Systematic Sampling –Uses a fixed skip interval to draw elements from a numbered population. Skip Interval = Obtain a listing of the population and the entire population Determine a skip interval Select names based on skip interval, using a random starting point Sample Size Population Size Probability Sampling Methods To understand differences between probability samples and nonprobability samples

20. John Wiley & Son, Inc. 20 Stratified Samples –Probability samples that are distinguished by the following steps: 1.The original population is divided into two or more mutually exclusive and exhaustive subsets 2.Simple random samples of elements from the two or more subsets are chosen independently from each other. –Subsets –Reasons not to use stratified samples Probability Sampling Methods To understand differences between probability samples and nonprobability samples

21. John Wiley & Son, Inc. 21 Three steps: In implementing a properly stratified sample: 1.Identify salient demographic or classification factors correlated with the behavior of interest. 2.Determine what proportions of the population fall into various sub subgroups under each stratum. 1.proportional allocation 2.disproportional or optimal allocation 3.Select separate simple random samples from each stratum Probability Sampling Methods To understand differences between probability samples and nonprobability samples

22. John Wiley & Son, Inc. 22 Cluster Samples –Two basic steps in cluster sampling 1.The population of interest is divided into mutually exclusive and exhaustive subsets. 2.A random sample of the subsets is selected. –One-stage cluster—all elements in subset selected –Two-stage cluster—elements selected in some probabilistic manner from the selected subsets –Not individual elements Area sample—the clusters are units of geography Main assumption—elements in cluster are heterogeneous –Clusters samples— generally less statistically efficient than other types of probability samples To understand differences between probability samples and nonprobability samples Probability Sampling Methods

23. John Wiley & Son, Inc. 23 Nonprobability Sampling Methods Convenience Samples –Easy to collect Judgment Samples –Based on judgmental selection criteria Quota Samples –Demographic characteristics in the same proportion as in the population Snowball Samples –Additional respondents selected on referral from initial respondents. To understand differences between probability samples and nonprobability samples

24. John Wiley & Son, Inc. 24 To understand sampling implications of surveying over the Internet. Internet Sampling Advantages of Internet sampling: –Target respondents can complete the survey at their convenience –Data collection is inexpensive –The interview can be administered under software control –The survey can be completed quickly

25. John Wiley & Son, Inc. 25 Disadvantages of Internet Interviewing –users of the internet are not representative of the general population –no comprehensive and reliable source of email addresses exists –those who do not use the Internet have no chance of being included Internet Sampling To understand sampling implications of surveying over the Internet.

26. John Wiley & Son, Inc. 26 The Concept of Sampling Developing a Sampling Plan Sampling and Nonsampling Errors Probability Sampling Methods Nonprobability Sampling Methods Internet Sampling SUMMARY

27. John Wiley & Son, Inc. 27 The End Copyright © 2006 John Wiley & Sons, Inc.