User's Guide for the Longitudinal Scalogram Analysis Program
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This Note is the users manual for the Longitudinal Scalogram Analysis LSA program. LSA is an extension of cross-sectional scalogram analysis to longitudinal data. The LSA program has been used on Project ALERT to model stages of drug use involvement in adolescents. This revision of the original Note adds new information about the computation of standard errors and provides an example illustrating different longitudinal scalogram results for the same prevalence rates. The development of the LSA program was made possible by a grant from the Conrad N. Hilton Foundation and support from RAND. The opinions expressed are those of the author and do not necessarily reflect the views of the sponsor or RAND. The program and this manual benefited from insightful comments by RAND colleagues John Uebersax and Phyllis Ellickson, and from suggestions made by Paul Baerman and two anonymous reviewers recruited by Duke University Press. Appreciation is also expressed to Pat Bedrosian for helpful editorial suggestions and Kim Wong for secretarial support.
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