Number of pages
SourcePsychological Methods, 17, 2, (2012), pp. 176-192
Article / Letter to editor
Display more detailsDisplay less details
SW OZ BSI OGG
[Correction Notice: An Erratum for this article was reported in Vol 17(3) of Psychological Methods (see record 2012-24038-005). The supplemental materials link was missing. All versions of this article have been corrected.] Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these models time is only considered implicitly, making it difficult to account for unequally spaced measurement occasions or to compare parameter estimates across studies that are based on different time intervals. Stochastic differential equations offer a solution to this problem by relating the discrete time model to its underlying model in continuous time. It is the goal of the present article to introduce this approach to a broader psychological audience. A step-by-step review of the relationship between discrete and continuous time modeling is provided, and we demonstrate how continuous time parameters can be obtained via structural equation modeling. An empirical example on the relationship between authoritarianism and anomia is used to illustrate the approach.
This item appears in the following Collection(s)
- Academic publications 
- Faculty of Social Sciences 
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.