A data gap is any place where:
A) data is measured with error.
B) the data is heteroscedastic.
C) there are missing data for a variable over an interval of values, but data are not missing for at least some values on both ends of the interval.
D) there is missing data.

Question

Quizplus · Accepted Answer

A data gap specifically refers to a situation where there are missing data points within a continuous dataset, but there are available data points before and after the gap. This is distinct from general missing data (D), measurement error (A), or heteroscedasticity (B), which refers to a condition where the variance of the dependent variable varies across the data.

A Data Gap Is Any Place Where