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Understanding Concepts in Estimating Sample Size in Survey Studies

In: Determining Sample Size and Power in Research Studies

Author

Listed:
  • J. P. Verma

    (Sri Sri Aniruddhadeva Sports University)

  • Priyam Verma

    (University of Houston, Department of Economics)

Abstract

A small sample yields inaccurate findings, conversely a large sample is an unnecessary mobilization of extra resources, therefore, determining optimum sample size is a crucial exercise in research studies. Moreover, in large sample even small effect may be found to be significant which may not have any practical utility. There are two concepts which will be conceptualized and its application will be discussed for inferring the optimal sample size. It is broadly defined as precision of estimates and power of the test. The concept of precision is used in determining sample size in survey studies, whereas in hypothesis testing experiments, sample size is estimated on the basis of power required in the study. In this chapter, we will discuss the theoretical foundations to arrive at the formula for calculating optimal sample size based on the concept of precision. The following chapter will deal with the concept of power, which is used in hypothesis testing.

Suggested Citation

  • J. P. Verma & Priyam Verma, 2020. "Understanding Concepts in Estimating Sample Size in Survey Studies," Springer Books, in: Determining Sample Size and Power in Research Studies, chapter 0, pages 29-40, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-5204-5_3
    DOI: 10.1007/978-981-15-5204-5_3
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