Students often remain the least concerned about the accuracy and precision of data used to source dissertation research. No doubt, surveys are typically used by public relations, business management, social sciences, health sciences, media and communication, and political sciences students. The most probable reason behind the use of this research design in various disciplines is it offers flexibility in data collection along with accuracy in results. Thus, in this article, we will overview accuracy in survey research, some common standards and their importance in academic research.
Accuracy in Survey Research: Overview
Accuracy in survey research is the measure of the extent to which an output from the responses aids in achieving the survey goals. As a matter of course, accuracy is the measure of conformity or closeness of a founded value with the true or expected values. To put it simply, it is the attribute being measured in the sample audience. The inaccuracy in survey results may occur due to various reasons such as uneven sample audience distribution, respondents’ response bias, and bad data quality. However, using dishonest means for collection, distribution, or analysis of surveys are some common reasons contributing to inaccurate survey results.
Accuracy in survey research is important to solve a given academic research query. The survey method of research is the most sought-after design that helps academic and social researchers to collect data from the target population by selecting an appropriate sampling technique and analysing it to deduce inferences. In academic research, the accuracy of results can be found either by directly comparing the calculated value with the standard data source or by using real-world data to cross-check the validity. Moreover, a graduate dissertation must also include a section in the data analysis chapter to specify how the researcher strives for accuracy in survey results. To know the structure of this section, you can consult expert dissertation writers UK.
Survey Results Accuracy Standards:
There are many standards that help researchers maintain the accuracy of survey results. Target audience, tools to collect and analyse surveys, time and frequency of surveys, and response rate are among the most common factors that affect the quality of data in survey research. Thus, by following some pre-defined set of rules or standards, the accuracy of survey results can be maintained. The following is a brief overview of the standards and guidelines that a researcher must follow at each step of the survey. However, to get a complete guide on standards of accuracy in survey research, you can seek dissertation help UK.
- The data collected by a survey must be relevant and meaningful to meet the needs of a particular research project.
- The data collected by a survey must be implemented in/on the local persons and setups.
- The errors in the collected data must be minimum, which will automatically ensure accuracy.
- For selecting a survey institution, good skills, extensive knowledge, and resources are necessary. While selecting a few things such as the capacity to carry out survey process, documentation or previous surveys, a record of usual timelines for survey calendar are important things that monitor quality or accuracy of results.
- During sampling, sample size must be large or target the de facto A large sample size is essential to provide good estimates of quantities of interest.
- The translation is another important part of survey research, and to meet the standards, a researcher must work on making meaningful comparisons of cultures so others can use the same construct while a replicating research in another country.
All in all, standard survey research accuracy procedures must be followed in the selection of survey institutions, sampling, translation, training, implementation, data entry, data calculation, indicators quality assessment, and making survey reports. Following all these standards at different steps of the survey can not only help you find accurate results of the survey but also improve other qualities like validity or reliability of research.
Accuracy in survey research is important as if the results are inaccurate, it will create a false or fake picture of the situation. Accuracy is also important as it prevents the public from trusting inaccurate data and conclusions derived based on it. It helps maintain the quality to ensure continuity of logical research publications for the betterment of a whole society.
All in all, the survey is a common research design that allows researchers to extract useful consequences by seeking responses from the public or survivors of a situation. However, accuracy is the measure of the closeness of interpreted information to real-world data. To ensure accuracy in results, you can follow detailed survey research guidelines.