Itis impractical for researchers to make a direct contact with everyperson in the target population. Therefore, representations of therespective population, subsets, are used in data analysis togeneralize the whole population (Gravetter & Forzano, 2016). Thecourse work tries to shed light on how to pick the appropriateresearch sample out of the target population and the feasibility ofcensus. Further, it aims at establishing the credibility of thestatistics used in sampling.
WhatCan Researchers Do to Ensure Samples Match Population?
Itcan be a challenging for researchers to pick a subset that representsthe target population. For instance, difficulties may arise due tofactors such as language and cultural barrier, reluctance, andmistrust among potential subjects, among others. Firstly, theresearcher ought to define the target population. Secondly, pick thesubsets through a random sampling technique to ensure equalrepresentation of the whole population[ CITATION Lev13 l 1033 ].Moreover, the researcher can utilize other modifications of randomsampling such as stratified sampling.
IsIt Feasible to do a Census?
Inmost cases, it is impractical for business organizations to carry outcensus because of the hurdles involved in the process. For instance,numerous resources ought to be channeled towards the collection ofinformation from every participant, therefore proving to be costlyand time-consuming[ CITATION Lev13 l 1033 ].Consequently, sample surveys are used to achieve the same goal.
HowCan Managers Ensure That Statistics are based on Good
Dataanalysis and calculations start with the smallest group within thetarget population since a larger group implies a smaller proportionnecessary to accomplish the same accuracy level[ CITATION Lev13 l 1033 ].Finally, determine the error and confidence level to clear any doubtsabout the data.
Efficiencyin data analysis is vital to ensure perfect results and researchrecommendations. As such, the research ought to be cautious whenselecting the appropriate sampling method. However, the methodsmentioned above can be used to determine accuracy level.
Gravetter,F. J., & Forzano, L.-A. B. (2016). ResearchMethods for the Behavioral Sciences.Samford: Cengage Learning.
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Whenconducting research, it is important to gather information andopinions from the general population to enable the researcher tocarry out data analysis. Since it is not practicable to getinformation from every member, only a subset or a representation ofthe general population is utilized to perform the research. ,therefore, refers to a research technique where a researcher getsopinions and information from a subset of a particular population torepresent the whole population.
allows researchers to work with a considerable amount of data inbuilding up analytical models in a more sophisticated manner[ CITATION Alb151 l 1033 ].Researchers find sampling useful when dealing with large sets of datasince it ensures efficiency in analyzing the data. The cost ofsampling is low since only a proportion of the entire population isselected. Moreover, it is a suitable method of studying thepopulation with limited resources[ CITATION Alb151 l 1033 ].It is convenient for the organization because fewer resources arerequired. Finally, sampling takes less time and the accuracy if thedata is high.
Exampleof in Business
Businessorganizations conduct sampling to establish various aspects ofperformance in the market. For instance, an organization can conductsampling to understand customers’ expectations, needs, andsatisfaction level hence, find ways of improving the products andservices. Market research requires sampling in establishing alucrative market niche thus helps in expanding the customer base[ CITATION Alb151 l 1033 ].Business organizations undertake sampling procedure to establishpotential customers before inventing a new product.
Inconclusion, sampling accomplishes an essential role in theperformance and productivity of a business organization. Researchersprefer the use of sampling in undertaking research studies because ofthe associated benefits. Therefore, the utilization of samplingmethod helps analyze data effectively and efficiently.
Albright,C. S., & Winston, W. L. (2015). BusinessAnalytics: Data Analysis & Decision Making 6th ed.Boston: Cengage Learning.
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