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)...

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Publicado en:Journal of Marriage & Family Vol. 67; no. 4; pp. 1061 - 1076
Autor principal: Johnson, David
Formato: Artículo
Publicado: Wiley-Blackwell November 2005
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Two-Wave Panel Analysis: Comparing Statistical Methods for Studying the Effects of Transitions.
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        au: Johnson, David
      su:
        Families -- Research
        Panel analysis
        Social statistics
        Mathematical variables
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          Families -- Research
          Panel analysis
          Social statistics
          Mathematical variables
      ab: 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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    language: English
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