Research Methods for V Non-Sampling Errors- myassignmenthelp

Question: Discuss about theResearch Methods for V Non-Sampling Errors. Answer: Are attitudes too complex and transient to measure? The purpose of the attitude scale is to accurately measure the values of individual outlook in better accurate levels. The research methods are highly dependent on the behavior of the sample groups, which are considered to be the essential elements in getting the added information. The responses that are provided by the people within a community can vary depending upon the attitude of individual. The complex nature of the attitude is mainly due to the frequent changes that occur within the due course. High level of accuracy is needed in order to measure the transient nature of social attitude. It will therefore be possible to bring about changes in the data of the research work that will help to improve the authenticity and validity of the same. Investigation quality within the project depends upon the ability of the investigators to predict the changes in the attitude. For marketing or business research the data analysis is mainly dependent on the attitudes that are being measured in each case. This is believed to be highly critical as the change in the behavior or attitude can have significant impact on to the marketing research work. Hence, it is also not possible to have a generalized statistical parameter of measuring the research attitude due to its frequent changing attitude. It is important to measure the change in the attitude, which is also considered difficult. This is one of the challenging tasks as the attitude of the people within the same sample group can vary hugely. The different type of errors that includes the sampling and non-sampling errors are mainly caused due to the high level of variance in the attitude of the samples. Sampling errors V non-sampling errors The sampling errors are the one that are caused due to estimation of result from the subset within a population. This is mainly caused due to the fact that the investigators do not include all types of people of community within the sample. This can result in higher level of errors within the different research works that are conducted within the same community. This is due to the difference in the attitude of public within the community. This error is mainly caused due to the mistake in selection of the sample size. There is also chance that within the chosen sample many of the respondents do no chose to provide any form of answers. Hence, with less volume of data, the chance of error is quite high. On the other hand, the non-sampling errors are caused due to difference within the value of the data that are collected with that of the actual values. Unlike the sampling errors, the non-sampling ones are not dependent on the sample size and the choice of sample. The sampling error can be minimized but increasing the size of the sample. The non-sampling ones can be decreased by improving the level of accuracy in the process of data collection. The chance of detecting the non-sampling errors is quite low as it is not possible to measure the parameters of accuracy. It is also virtually impossible for the investigators to eliminate the chance of occurrence the non-sampling errors. Nevertheless, both types of errors ultimately affect the accuracy level within the research work. It is also essential to make use of the advanced automation process that is required minimize the errors that are caused due to non-sampling ones.