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Validity - Term applied to measuring instruments reflecting the extent to which differences in scores on the measurement reflect true differences among individuals, groups, or situations in the characteristic that it seeks to measure, or reflect true differences in the same individual, group, or situation from one occasion to another, rather than constant or random errors.

Variability - The degree of differences from a score. It provides a quantitative measure of the degree to which scores in a distribution are spread out or clustered together. If differences are small, the variability is small. If differences are large, the variability is large. It also provides information about how much error to expect if you are using a sample to represent a population. The three measures of variability are range, standard deviation, and variance.

Variance - The statistical measure of how similar a population is in a characteristic being studied. It is the average squared distance of all measurements from the mean. It is the square of the standard deviation.

Verbatim - Respondents' true and actual responses.