Guttman scale analysis of longitudinal data: a methodology and drug use applications.
Traditional Guttman scalogram analysis is limited to evaluating item order cross-sectionally. This paper describes a new methodology, Longitudinal Scalogram Analysis (LSA), that is a direct extension of cross-sectional scalogram analysis to longitudinal data. Example applications of the LSA method to drug use data are provided. The benefits of LSA relative to cross-sectional methods for drug use analysis are discussed.
Hays
R D
RD
RAND, Santa Monica, CA 90407-2138.
Ellickson
P L
PL
D000293:Adolescent; D003430:Cross-Sectional Studies; D006801:Humans; D013287:Illicit Drugs; D008137:Longitudinal Studies; D015233:Models, Statistical; D012649:Self Concept; D019966:Substance-Related Disorders / Q000453:epidemiology*; D013997:Time Factors
D013287:Illicit Drugs