MKTG202 Lecture Notes - Lecture 8: Consistency, Descriptive Statistics, Central Tendency

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Editing is the process of checking the completeness consistency and legibility of data and making the data ready for coding and transfer to storage. The editor must determine if the answers a respondent gave to one question are consistent with those for other, related questions. Involves reviewing questionnaires to increase accuracy and precision. Done by field supervisor on the day of interview. Clarify reponses that are logically or conceptually inconsistent. In house editing- after the survey: in house editing. Performed by centralised office staff who rigorously investigate the results of data collection. Check for adherence to the data collection framework. For example, editing and tabulating "don"t know" answers. An alternati(cid:448)e is to record all "don"t kno(cid:449)s" as a separate category. Checking and cleaning data should be the first thing to do when you get the dataset. Out of range (response 7 on a 1-5 scale) Advanced methods: regression substitution, em (expectatati maximisation) algorithm, bayesion maximisation) algorithm, bayesian methods.

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