TY - JOUR
T1 - The measurement of dynamic latent variables in longitudinal aging research
T2 - Quantifying adult development
AU - Collins, Linda M.
N1 - Funding Information:
This paper benefitted from conversations with Norman Cliff, Ngar-Kok (Jacob) Chung, and Stuart E. Wugalter. The author is grateful for Alexander von Eye's comments on an earlier draft. This research has been supported by National Institute on Drug Abuse grants DAM1 11 and DA03673, and by the National Science Foundation grant BNS84-03126. Requests for reprints may be sent to the author at the J.P. Guilford Laboratory of Quantitative Psychology, Department of Psychology, University of Southern California, University Park, Los Angeles, CA 90089-1061.
PY - 1991
Y1 - 1991
N2 - Dynamic latent variables involve systematic intraindividual change over time. Although it seems natural to apply traditional measurement theory to dynamic latent variables, in fact this is often inappropriate. Traditional measurement theory is based on the idea of static latent variables and offers little guidance to the researcher who wishes to measure a dynamic latent variable with a high degree of accuracy and validity. It is the contention of this article that measurement of a dynamic latent variable must start from a clearly defined substantive theory about human development. Two approaches that take this perspective are presented: the longitudinal Guttman simplex (LGS), a measurement model for dynamic latent variables undergoing irreversible cumulative, unitary development; and latent transition analysis (LTA), a more general latent class measurement model.
AB - Dynamic latent variables involve systematic intraindividual change over time. Although it seems natural to apply traditional measurement theory to dynamic latent variables, in fact this is often inappropriate. Traditional measurement theory is based on the idea of static latent variables and offers little guidance to the researcher who wishes to measure a dynamic latent variable with a high degree of accuracy and validity. It is the contention of this article that measurement of a dynamic latent variable must start from a clearly defined substantive theory about human development. Two approaches that take this perspective are presented: the longitudinal Guttman simplex (LGS), a measurement model for dynamic latent variables undergoing irreversible cumulative, unitary development; and latent transition analysis (LTA), a more general latent class measurement model.
UR - http://www.scopus.com/inward/record.url?scp=0026352097&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026352097&partnerID=8YFLogxK
U2 - 10.1080/03610739108253882
DO - 10.1080/03610739108253882
M3 - Article
C2 - 1936097
AN - SCOPUS:0026352097
SN - 0361-073X
VL - 17
SP - 13
EP - 20
JO - Experimental Aging Research
JF - Experimental Aging Research
IS - 1
ER -