User's Guide for the Longitudinal Scalogram Analysis Program

Abstract

This Note is the user's 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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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA256817

Entities

People

  • Ron D Hays

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cannabis
  • Coefficients
  • Drug Abuse
  • Frequency
  • Intervals
  • Markov Models
  • Models
  • Reproducibility
  • Scalability
  • Scale Models
  • Schools
  • Sequences
  • Specifications
  • Standards
  • Time Intervals
  • Transitions
  • User Friendly

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Clinical Trial Research.
  • International Journalism and Media Studies.