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Donald Cooper Pamela Schindler

Donald Cooper Pamela Schindler. Chapter 7. Business Research Methods. Chapter 7. Sampling Design. Selection of Elements. Slide 7 - 1. Population Population Element Sampling Census. What is a Good Sample?. Slide 7 - 2. Accurate: absence of bias

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Donald Cooper Pamela Schindler

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  1. Donald Cooper Pamela Schindler Chapter 7 Business Research Methods

  2. Chapter 7 Sampling Design

  3. Selection of Elements Slide 7 - 1 Population Population Element Sampling Census

  4. What is a Good Sample? Slide 7 - 2 • Accurate: absence of bias • Precise estimate: sampling error

  5. Types of Sampling Designs Slide 7 - 3 Probability Nonprobability

  6. Steps in Sampling Design Slide 7 - 4 • What is the relevant population? • What are the parameters of interest? What is the sampling frame? • What is the type of sample? • What size sample is needed? • How much will it cost?

  7. Concepts to help understand Probability Sampling Slide 7 - 5 Standard error Confidence interval Central limit theorem

  8. Probability Sampling Designs Slide 7 - 6 Simple random Systematic Stratified • Proportionate • Disproportionate Cluster Double

  9. Designing Cluster Samples Slide 7 - 7 • How homogeneous are the clusters? • Shall we seek equal or unequal clusters? • How large a cluster shall we take? • Shall we use a single-stage or multistage cluster? • How large a sample is needed?

  10. Nonprobability Sampling Slide 7 - 8 Reasons to use • Procedure satisfactorily meets the sampling objectives • Lower Cost • Limited Time • Not as much human error as selecting a completely random sample • Total list population not available

  11. Nonprobability Sampling Slide 7 - 9 Convenience Sampling Purposive Sampling • Judgment Sampling • Quota Sampling Snowball Sampling

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