Sample and Sampling in Research

This course is concerned with the sample and how to select a sample for research known as sampling techniques. A sample in a research study is the group on which information is obtained. The larger group to which one hopes to apply the results is called the population. After obtaining information from the sample, the researcher is able to make a generalization to the population if random sampling techniques are employed.

1 STUDENTS ENROLLED

Learning objectives

  • Distinguish between a sample and a population.
  • Explain what is meant by the term “representative sample.”
  • Explain how a target population differs from an accessible population.
  • Explain what is meant by “random sampling,” and describe briefly three ways of obtaining a random sample.
  • Use a table of random numbers to select a random sample from a population.
  • Explain how stratified random sampling differs from cluster random sampling.
  • Explain what is meant by “systematic sampling,” “convenience sampling,” and “purposive sampling.”
  • Explain how the size of a sample can make a difference in terms of representativeness of the sample.
  • Explain what is meant by the term “external validity.”
  • Distinguish between population generalizability and ecological generalizability and discuss when it is (and when it is not) appropriate to generalize the results of a study.

Course Curriculum

Sample in research
Pre-test on sample and sampling 00:00:00
Sample and Population 00:00:00
Sample size calculation 00:00:00
Sampling techniques
Random sampling methods 00:00:00
Nonrandom sampling methods 00:00:00
Post-test on sample and sampling 00:00:00

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