In a short essay, define data cleaning and discuss how consistency checks and treatment of missing responses relate to the data cleaning process

What will be an ideal response?

Data cleaning is the thorough and extensive checking for consistency and treatment of missing responses. This cleaning process includes consistency checks and treatment of missing responses. While preliminary consistency checks have been made during editing, the checks at this stage are more thorough and extensive, since these are made by computer. Consistency checks are a part of the data cleaning process that identify data that are out of range or logically inconsistent, or that have extreme values. Data with values not defined by the coding scheme are inadmissible. Missing responses represent values of a variable that are unknown, either because respondents provided ambiguous answers or their answers were not properly recorded. Proper selection, training, and supervision of field workers should minimize the incidence of missing responses.