.png){kind=icon}
Consists of editing, coding, data entry, and data cleaning.
Examples are Cramer’s phi and the correlation coefficient.
The most commonly used statistical measure of variation.
The middle value in a distribution.
Documentation for a data file that usually contains the question wording and responses codes for each variable.
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.
Graphic depiction of a bivariate distribution.
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.
Indicates how much the dependent variable changes for every one-unit increase in the independent variable.
A graphic display of a univariate distribution.