Two-Wave Panel Analysis: Comparing Statistical Methods for Studying the Effects of Transitions.
Study of the effect of transitions on individual and family outcomes is central to understanding families over the life course. There is little consensus, however, on the appropriate statistical methods needed to study transitions in panel data. This article compares lagged dependent variable (LDV)...
| Publicado en: | Journal of Marriage & Family Vol. 67; no. 4; pp. 1061 - 1076 |
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| Formato: | Artículo |
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Wiley-Blackwell
November 2005
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | Study of the effect of transitions on individual and family outcomes is central to understanding families over the life course. There is little consensus, however, on the appropriate statistical methods needed to study transitions in panel data. This article compares lagged dependent variable (LDV) and change score (CS) methods for analyzing the effect of events in two-wave panel data. The methods are described, and their performances are compared both with a simulation and a substantive example using the National Survey of Families and Households two-wave panel. The results suggest that CS methods have advantages over LDV techniques in estimating the effect of events on outcomes in two-wave panel data. Reprinted by permission of the publisher. |
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