In: Operations Management
Business Research:
Case Study:
Strawberry International wishes to conduct a research study using their employees as key participants. The organisation maintains a global footprint and employs over 25 000 employees at several branches worldwide.
Question:
Discuss the reasons why sampling such a population is necessary. Additional Research is required. Read, understand and apply Section 4: sampling
Sampling is the process of choosing a group of individuals from a population(here employees) in order to study them and characterize the population as a whole.
The sampling is done to bring the population to a manageable
number so a group of employees characterizes the whole population
which would eventually reduce the cost to know the characters as we
are testing a small portion from population this would reduce the
chance of error also this would reduce the total time in which the
result is obtained about population.
Sampling is useful because one can pair it with an inverse process known as generalization. To understand a population, the steps we follow are: (1) select a sample from the population, (2) measure certain data or opinion for all individuals in the sample and (3) project the result we observe in the sample onto the population. This projection or extrapolation is called the generalization of results.
Random Sampling: With random sampling, every item within a population has an equal probability of being chosen. It is the furthest removed from any potential bias because there is no human judgment involved in selecting the sample.
Block Sampling: Block sampling takes a consecutive series of items within the population to use as the sample.
Systematic Sampling: Systematic sampling begins at a random starting point within the population and uses a fixed, periodic interval to select items for a sample. The sampling interval is calculated as the population size divided by the sample size.