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