13 Facts About Data editing

Data editing is defined as the process involving the review and adjustment of collected survey data.

Data editing helps define guidelines that will reduce potential bias and ensure consistent estimates leading to a clear analysis of the data set by correct inconsistent data using the methods later in this article.

Data editing can be performed manually, with the assistance of a computer or a combination of both.

Data editing is used with the goal to improve the quality of statistical data produced.

Term interactive Data editing is commonly used for modern computer-assisted manual Data editing.

Interactive Data editing reduces the time frame needed to complete the cyclical process of review and adjustment.

Interactive editing requires an understanding of the data set and the possible results that would come from an analysis of the data.

Selective Data editing is an umbrella term for several methods to identify the influential errors, and outliers.

Data editing can be accomplished in many ways and primarily depends on the data set that is being explored.

One method of data editing is to ensure that all responses are complete in fields that require a numerical or non-numerical answer.

Verifying that the data is unique is an important aspect of data editing to ensure that all data provided was only entered once.

Data editing available is used to characterize the distribution of the variables.

Data editing has its limitations with the capacity and resources of any given study.