Research Paper Writing: Strengths and Weaknesses of Sample Surveys

In selecting the type of sample survey to use, it is necessary to consider the strength and weakness of each. Apart from their ability to provide precise, accurate, clear statistical answers, sample surveys are complicated.
There are two types of sample surveys available in research paper writing, namely non-probability and probability surveys. Probability surveys are those basing on statistical theory. On the contrary, non-probability surveys do not base on statistical theory but base on the determination of degree of sample representation of the total population.

As far as the general strength of the separate methods is concerned, probability sampling suits quantitative methods because the latter are used in research paper writing where statistical inferences are desirable. Non-probability sampling suit cases of research paper writing where statistical inferences are not desirable. This happens in some quantitative studies but in all qualitative studies.
Research writers choose to gain advantages of using either non-probability or probability sample surveys but need be aware of the maximum benefits they can gain from use of combined methods.
Here strengths and weaknesses of sample surveys;
Strengths

The resulting statistical answers are precise. It is necessary to note that questions are defined carefully.

It is possible for those engaged in research paper writing–whether students or professionals–to verify if results generated are accurate, by checking statistics and methods applied in a research.

It is inclusive in that, researchers contact people at different places/locations.

It is possible to complete research paper writing if such methods are used, because analysis can be done faster on a portable computer. In addition, such analyses are clear.

The methods leads to more understanding of the problem raised through research paper writing because findings show how severe or big (or less severe and small) the problem is.

It is possible to compare different groups involved in the survey, or between surveys using similar methods. This is whether the surveys are applied in baseline or follow-up studies.

Weaknesses

Surveys are expensive in that they involve use of large amount of resources and personnel.

Research paper writing may take longer if surveys are delayed because of complexities involved.

There is a possibility of use of false data or lack of data if participants cannot cooperate. This makes results unreliable and non-useful. The possibility of lack of data from participants and them giving false data arises because of intrusive and inconveniencing nature of data collection process.

There is little input from people in the community, because of data analysis and planning of surveys happen far from survey sites.

The discussions may be chilled because of engaging structured questionnaires.

In this case, only pre-defined variables are analyzed during research paper writing. This means there is a possibility of leaving out crucial variables for analysis if the surveys are poorly structured.

The study and quality of research papers is affected if expertise lacks. In addition, those engaged in research paper writing require much time to analyze the large amount of data.

Incorrect use of tools for data collection and those for analysis may lead to generation of invalid results.

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