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Computing lag sequential statistics: The ELAG program
Authors:Roger Bakeman
Institution:1. Department of Psychology, Georgia State University, 30303, Atlanta, Georgia
Abstract:ELAG, a FORTRAN program that computes lag sequential statistics from event sequence data, is described, and its use is demonstrated. ELAG lets the user specify positive or negative lags of any length, whether codes may follow themselves or not, and whether z scores are to be computed as suggested by Allison and Liker (1982) or by Sackett (1980). Data sequences for individual subjects need not be continuous but can be broken into separate observations. Summary statistics for different groups of subjects may be printed. In addition, the initial data may be modified. The user may specify that an instance of one of a group of codes or of a particular two-code sequence is to be replaced with a new code before ELAG proceeds with its computations.
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