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APHA Scientific Session and Event Listing
3162.0: Monday, November 05, 2007 - 11:00 AM

Abstract #165795

Latent Transition Analysis for Modeling Change Over Time: A Demonstration of SAS PROC LTA

Stephanie T. Lanza, PhD, The Methodology Center, Pennsylvania State University, 204 E. Calder Way, Suite 400, State College, PA 16801, 814 865-7095, sxl194@psu.edu

Many questions that arise in the fields of public health research are addressed using longitudinal studies. Often, the population in such studies is comprised of a mixture of several sub-populations characterized by different growth processes. Several different statistical models can be used to identify subgroups with different patterns of change over time, depending on the nature of the outcome being modeled. Latent growth mixture models and group-based trajectory models are ideal when change over time in a continuous variable can be characterized as a function of time within each subgroup. In contrast, latent transition analysis (LTA), a longitudinal extension of latent class analysis, can be used to model development in discrete latent variables, for example, stage processes, over two or more times. The author of this study and her colleagues have developed a SAS procedure, PROC LTA, that can be used to model transitions in latent class membership over two or more times. PROC LTA enables researchers to conduct multiple-groups LTA in order to examine measurement invariance across groups and group differences in the prevalence of class membership and transitions over time. Covariates can be included in order to identify important predictors of latent class membership and transitions over time. This study demonstrates how to use PROC LTA to model development in adolescent and young adult dating and sexual risk behavior. Gender differences are examined, and substance use behaviors are included as predictors of initial status in dating and sexual risk behavior and transitions over time.

Learning Objectives: At the conclusion of the presentation, participants (learner) will know

Presenting author's disclosure statement:

Any relevant financial relationships? No
Any institutionally-contracted trials related to this submission?

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

Invited Session: Person-Centered Approaches for Longitudinal Data Analysis in Public Health Studies

The 135th APHA Annual Meeting & Exposition (November 3-7, 2007) of APHA