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Detecting and resolving errors in coding and data entry.
Examples are Cramer’s phi and the correlation coefficient.
A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.
Replacing missing values in data analysis by estimating values from the available data.
The most commonly used statistical measure of variation.
The value or category in a distribution with the highest frequency.
Consists of editing, coding, data entry, and data cleaning.
The numerical difference between an observed value and the value predicted by the regression line.
Shows whether the association in a contingency table is statistically significant.
Graphic depiction of a bivariate distribution.
The middle value in a distribution.
A graphic display of a univariate distribution.