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To analyze any data, there are necessary steps to follow before you generalize any data from or a given research inquiry. Any expert would like to prepare him or herself t avoid any wrong conclusions that are related to bad or noisy data. An instrument that a researcher employ during data collection is a key tool for collecting data which can be useful in generating empirical data that sound in any analysis project. So how useful is questionnaire pretesting in data generation?
Pretesting is a very important step in survey research. It is an absolutely necessary step to ensure all kinds of errors that are associated with survey research are reduced. It helps to improve the quality of data significantly. Pretesting is done on a small sample of respondents from the target population. After the pilot test, both the interviewer(s) and respondents are asked a series of questions regarding the survey as well as the process of data collection during the debriefing session. Such debriefing sessions can help detect any problem with the questionnaire design leading to ambiguity of words, misinterpretation of questions, inability to answer a question, sensitive questions, and many other problems associated with the questionnaire as well as the process of administering the survey. It also provides an opportunity to give feedback to the interviewer to ensure that she/he follows the proper protocol of data collection procedures to ensure objectivity in data collection.
collected for analysis i think this is more easy and effictive
we can explain Pre testing or piloting same as a newly discoved drug which we will not test on a human due to any side effect or death similarly pre testing is important to avoid the errors in data before going for a sample.
If it is seeking opinion, then it should be made mandatory. For observational purpose also, it would be helpful in eliminating redundant data variable and including omitted variables.
yes it shuld be mandatory to pretest questionaires before data analysis, by doing this u can identified & removed gaps on your questionaires desigh,
All you want is to find the unknown answers of your issue
Questionnaire is a very great tool in pretesting data generation because it gives a statistical overview of what you want.