Clean up questionaire in EGT

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Aug 6th, 2022
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How to clean up questionaire in EGT

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so in this clip Iamp;#39;m going to show you how to do some of the cleaning for the student survey Excel sheet this a very common problem when you get data from wherever you enter your survey data into you will have to do some cleaning sometimes because the software willamp;#39;ll see occasions here but also sometimes because of inconsistencies in the way how data are entered and we will see that as well so I have a file which available to you in Blackboard what sort of tasks have to be have to be done um delete for instance here in all colums there are some fields which are labeled as unanswered and weamp;#39;ll just want to have these fields as empty so the an easy way to do that is the following what you can see here is just a little excerpt of the file which you you have and actually it turns out in this case there are non no unanswered Fields but if you highlight everything go to find and select and replace we will use that a lot and type in what you want to replace and answere

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The four main sources of errors in survey research are as follows: Sampling error; Measurement error; Coverage error; Non-response error.
Steps to Clean Data Remove Duplicate and Incomplete Cases: Remove Oversample: Ensure Answers are Formatted Correctly: Remove Nonsense Answers and Unreadable Data: Identify and Review Outliers: Code Open Ended Data. Check Data Consistency: Perform Final Quality Assurance Checks:
Measurement error refers to the process of analyzing the difference between the measured value and the actual or true value of the collected data. The four major sources of measurement error would be the situation, the interviewee (respondent), the interviewer (measurer), and the instrument (such as a questionnaire).
Sampling error arises when a survey sample does not accurately represent the population being researched due to random sampling. Sampling and non-response bias, measurement error, and sampling variability can cause this. Non-sampling error includes all survey errors other than sampling errors.
We can sort survey error into two types sampling and non-sampling error. Sampling error is a natural effect of using a sample to study a larger population. Its the extent to which the sample differs from the population.
Common sources of error include instrumental, environmental, procedural, and human. All of these errors can be either random or systematic depending on how they affect the results. Instrumental error happens when the instruments being used are inaccurate, such as a balance that does not work (SF Fig.

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