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Investigating Ceiling Effects in Longitudinal Data Analysis
| Content Provider | Scilit |
|---|---|
| Author | Wang, Lijuan Zhang, Zhiyong McArdle, John J. Salthouse, Timothy A. |
| Copyright Year | 2008 |
| Description | Journal: Multivariate behavioral research Score limitation at the top of a scale is commonly termed “ceiling effect.” Ceiling effects can lead to serious artifactual parameter estimates in most data analysis. This study examines the consequences of ceiling effects in longitudinal data analysis and investigates several methods of dealing with ceiling effects through Monte Carlo simulations and empirical data analyses. Data were simulated based on a latent growth curve model with T = 5 occasions. The proportion of the ceiling data [10%–40%] was manipulated by using different thresholds, and estimated parameters were examined for R = 500 replications. The results showed that ceiling effects led to incorrect model selection and biased parameter estimation (shape of the curve and magnitude of the changes) when regular growth curve models were applied. The Tobit growth curve model, instead, performed very well in dealing with ceiling effects in longitudinal data analysis. The Tobit growth curve model was then applied in an empirical cognitive aging study and the results were discussed. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778494/pdf |
| Ending Page | 496 |
| Page Count | 21 |
| Starting Page | 476 |
| ISSN | 00273171 |
| e-ISSN | 15327906 |
| DOI | 10.1080/00273170802285941 |
| Journal | Multivariate behavioral research |
| Issue Number | 3 |
| Volume Number | 43 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2008-09-10 |
| Access Restriction | Open |
| Subject Keyword | Journal: Multivariate behavioral research Mathematical Social Sciences Longitudinal Data Analysis Ceiling Effects Effects in Longitudinal |
| Content Type | Text |
| Subject | Experimental and Cognitive Psychology Statistics and Probability Arts and Humanities Medicine |
