Sentence examples for responses are missing from inspiring English sources

Several suggestions and alternative approaches are offered that could be pursued to improve measurement accuracy when responses are missing.

These mixed effects models used likelihood-based approaches to provide unbiased estimates of the intervention effects assuming that responses are missing at random.

The results of this simulation analysis indicate that calculating PAM scores when survey item responses are missing may result in substantial measurement error.

To calculate domain scores when responses are missing, we would suggest imputing responses for missing items using the mean from the non-missing items in a domain (assuming at least half the items in that domain have responses).

It is always essential to examine why some responses are missing and whether there is a pattern underlying the missing data for questionnaires [ 10- 12], but particularly when an item bank is being calibrated.

However, in order to have unbiased estimates in the presence of missing data, it must be assumed that responses are missing at random (MAR); that is, the probability of any outcome measure being missing can depend on observed, but not unobserved, covariates (Little and Rubin 1987).

At the seventh day of administration, missing data increased to 20.4% of overnight data and 21%to22%2% of daytime data; at the last day of diary administration, 26% (overnight) to 27% (daytime) of responses were missing.

Responses were missing for 9 countries.

Scores were calculated if <50% of responses were missing.

Self-rating responses were missing for less than 1%.

For one of these, five responses were missing.