Chapter 12 Matching Quiz

Consists of editing, coding, data entry, and data cleaning.

Simultaneously controls for the effects of several independent variables.

A graphic depiction of a bivariate distribution.

Shows whether the association in a contingency table is statistically significant.

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.

In elaboration analysis, these control for the extraneous variable.

The middle value in a distribution.

Shows the effect of X on Y while controlling for all other independent variables in a multiple regression analysis.

A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.

Examples are Cramer’s phi and the correlation coefficient.

The most commonly used statistical measure of variation.

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