520 – Contributed Oral Poster Presentations: Survey Research Methods Section
Ordered Sample Scatterplots for Displaying Survey Data
Edward Mulrow
NORC at the University of Chicago
Korn and Graubard (1998) suggested various modifications to make scatterplots more informative for sample survey data. These included the notion of sampled scatterplots - plotting a subsample of the data such that the resulting subsample is approximately a simple random sample. Hinkins et al (2009) used inverse sampling to construct regression diagnostic scatterplots, and illustrated how multi-panel plots of many inverse samples could be used to account for the loss of information when subsampling. One criticism of this approach is that the multi-panel displays may be harder to view; a smaller set of plots, or ideally a single plot, may be better. We explore using the ideas of Flury and Tarpey (1993) to order a large collection of curves. Using this technique on smoothers through scatterplots of survey data subsamples will provide a way to order scatterplots and therefore reduce the number, e.g. a minimum, median and maximum plot, or some other alternative based on order statistics.