Full metadata
Title
Time metric in latent difference score models
Description
Time metric is an important consideration for all longitudinal models because it can influence the interpretation of estimates, parameter estimate accuracy, and model convergence in longitudinal models with latent variables. Currently, the literature on latent difference score (LDS) models does not discuss the importance of time metric. Furthermore, there is little research using simulations to investigate LDS models. This study examined the influence of time metric on model estimation, interpretation, parameter estimate accuracy, and convergence in LDS models using empirical simulations. Results indicated that for a time structure with a true time metric where participants had different starting points and unequally spaced intervals, LDS models fit with a restructured and less informative time metric resulted in biased parameter estimates. However, models examined using the true time metric were less likely to converge than models using the restructured time metric, likely due to missing data. Where participants had different starting points but equally spaced intervals, LDS models fit with a restructured time metric resulted in biased estimates of intercept means, but all other parameter estimates were unbiased, and models examined using the true time metric had less convergence than the restructured time metric as well due to missing data. The findings of this study support prior research on time metric in longitudinal models, and further research should examine these findings under alternative conditions. The importance of these findings for substantive researchers is discussed.
Date Created
2016
Contributors
- O'Rourke, Holly P (Author)
- Grimm, Kevin J. (Thesis advisor)
- Mackinnon, David P (Thesis advisor)
- Chassin, Laurie (Committee member)
- Aiken, Leona S. (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
ix, 81 pages : illustrations
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.40244
Statement of Responsibility
by Holly P. O'Rourke
Description Source
Viewed on February 15, 2017
Level of coding
full
Note
thesis
Partial requirement for: Ph. D., Arizona State University, 2016
bibliography
Includes bibliographical references (pages 37-40)
Field of study: Psychology
System Created
- 2016-10-12 02:17:32
System Modified
- 2021-08-30 01:21:36
- 3 years ago
Additional Formats