Sample size estimation – In its most common sense, methodology is the study of research methods. However, the term can also refer to the methods themselves or to the philosophical discussion of associated background assumptions. A method is a structured procedure for bringing about a certain goal, like acquiring knowledge or verifying knowledge claims. This normally involves various steps, like choosing a sample, collecting data from this sample, and interpreting the data. The study of methods concerns a detailed description and analysis of these processes. It includes evaluative aspects by comparing different methods.
In this way, their benefits and drawbacks are evaluated, as well as the research goals for which they may be used. These descriptions and evaluations are predicated on philosophical background assumptions; examples include how to conceptualize the phenomena under study and what constitutes evidence in favor of or against them. In its broadest sense, methodology encompasses the discussion of these more abstract issues.
Sample size estimation
Definition of Sample Size:
The number of persons or sampling unit selected from the population of the study comprises the sample size.
Calculation of Sample Size:
Sample size can be calculated by following formula-
N = Z ^ 2 * pq / (d ^ 2)
Here,
- “n” is the request sample size.
- ^ n p ^ n is the rough estimate of the parameter (proportion of population) “q”= 1 – p
- x ^ n = thx value corresponding to the given confidence level (z= 1.96for * 95 \% confidence level; x = 2.98 for 99% confidence level)
- d-Error limit (or the accuracy desired)
(Ref by- Rashid, Khabir, Hyder/4/111)
Read more: