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Reliability Estimation in Longitudinal Studies Using Latent Growth Curve Modeling
| Content Provider | Scilit |
|---|---|
| Author | Marcoulides, Katerina M. |
| Copyright Year | 2019 |
| Description | Longitudinal data analysis has received widespread interest throughout educational, behavioral, and social science research, with latent growth curve modeling currently being one of the most popular methods of analysis. Despite the popularity of latent growth curve modeling, limited attention has been directed toward understanding the issues of reliability of measurement change in the context of this method. The purpose of this article is to outline the common difficulties that arise when estimating reliability within the context of growth models and extend the notion of reliability to a more general modeling framework that takes into account the specifics of longitudinal data. To highlight the importance of focusing on reliability of measurement change in the context of latent growth curve modeling, empirical data are examined. |
| Related Links | https://www.tandfonline.com/doi/pdf/10.1080/15366367.2018.1522169?needAccess=true |
| Ending Page | 77 |
| Page Count | 11 |
| Starting Page | 67 |
| ISSN | 15366367 |
| e-ISSN | 15366359 |
| DOI | 10.1080/15366367.2018.1522169 |
| Journal | Measurement: Interdisciplinary Research and Perspectives |
| Issue Number | 2 |
| Volume Number | 17 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2019-04-03 |
| Access Restriction | Open |
| Subject Keyword | Journal: Measurement: Interdisciplinary Research and Perspectives Mathematical Social Sciences Reliability Latent Growth Curve Modeling Residual Variance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Statistics and Probability Education |
