TIMESAMPLE is a program to assist in developing a strategy for accumulating data based on random samples from a continuous experiment. The program is able to handle missing data and unscorable responses. It is a means of providing an estimate of the validity of sampling procedures, based on various time sampling intervals. The program computes Pearson correlation coefficients for random time samples of subjects' behaviors, based on different categories of responses. The classification scheme may consist of two to twelve categories to describe individual responses. The basic time unit is 1/25 of the total experiment (time sampling unit), and the larger time sampling intervals are calculated by combining one to five successive units. Correlations are found using intervals of one, two, three, four, and five units. Therefore, there are 25 one-unit sampling intervals, 12 two-unit intervals. eight three-Unit intervals, six four-unit intervals, and five five-unit intervals. This enables the experimenter to choose the interval that produces the highest correlation in the shortest period of time. The experimenter may choose the intervals he wishes to investigate at program execution time. After the respective time intervals are computed, they are randomly combined. The intervals chosen are the same for each subject. For example, by using one-unit sampling intervals, there would be 25 correlations, each correlation based on successive combinations of one to 25 sampling intervals. Each correlation is based on a different random combination of sampling intervals. The following correlations are computed for each successive combination: 29 (I) correlation by subject (across categories); (2) correlation by category (across subjects); (3) correlation by total combined interval. The n:eans of the subject and category correlations are found after conversion to a Fisher Z, and are transfurmed back into Pearson correlations, There is then a single correlation for a category profile, subject profile, and group profile.
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