6
 Sampling
 

Outline

  1. What Are Samples and Why Do We Need Them?
  2. Why the United States Still Has a Census
  3. It Pays to Take Samples and to Stick With Them
  4. Sampling Frames
  5. Simple Random Sample
  6. Systematic Random Sampling
    1. Periodicity and Systematic Sampling
    2. Sampling from a Telephone Book
  7. Stratified Sampling
    1. Disproportionate Sampling
    2. Weighting Results
  8. Cluster Sampling and Complex Sampling Designs
  9. Probability Proportionate to Size
    1. PPS Samples in the Field
    2. Maximizing Between-Group Variance: The Wichita Study
  10. How Big Should a Sample Be?
 

Examples and Illustrations

Why did the Clinton administration, congress and the Supreme Court spend a great deal of time arguing about samples during the planning stages for the 2000 census?
 

Links


Least You Should Know

After working with this chapter you should be able to… …give three reasons why samples are taken.
... explain the difference between cultural data and individual data
…name the seven types of sample and say enough about each to distinguish it from the others.
…distinguish "sample statistic" from "population parameter.
…explain what the phrase "always get or take a census" means.
…define the concept "representative" so that you won't misuse it in a sentence
 

Food for Thought


 

Concepts, terms, vocabulary

age cohorts (150)
between-group variance (157)
biased sample
cluster sampling (152)
cultural data (141)
disproportionate stratified random sampling (150)
experience sampling (151)
homophily
individual data (141)
mall-intercept survey (156)
margin
of error
maximizing the between-group variance (149)

minimizing the within-group variance (149)
panel study (144)
parameter/statistic
periodicity problem (147)
population heterogeneity
population parameters (142)
probability proportionate to size/PPS (154)
probability sampling (142)
proportionate stratified random sample (150)
random
sample/population
sample accuracy (160)
sample precision (160)

sample statistics/parameter estimators (160)
sampling design (149)
sampling frame (144-145)
sampling interval (147)
selection effect
simple random sample (145)
stratified random sampling (148-149)
street-intercept survey (156)
systematic random sampling (146-147)
tract
weighting
within-group variance (157)


M i l l s    H o m e    P a g e    *    M i l l s    S o c i o l o g y    *    S O C 9 1    *    D a n    R y a n