In general, missing data comes back to the old thing of whether data is "missing at random" or not, or, alternatively and more broadly, whether the inclusion of data for these data points would impact the overall results.įor example, if your missing data was from one specific building site, where there were variables which were unique to that site (such as using an unusually noisy piece of equipment, say), AND if the data which were missing were all relevant - like whether or not workers who should be wearing ear defenders were doing so, I would say that that might be a problem, depending on what exactly it is you're trying to analyse.
0 Comments
Leave a Reply. |