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- W2090587315 abstract "Abstract Ten years ago Rogosa's critique (1980) of the croos-lagged correlation methodology largely contributed to a virtual halt in its use by psychological researchers, but his conclusions were too sweeping. It is essential to recognize the effects on the cross-correlations of differences in the stability of true scores from one occasion to another, as Rogosa clearlydemonstrated, as well as the effects of differences in measurement error, a long-recogized constraint. If parallel forms' reliabilities are obtained for each measure on each occasion, the observed intercorrelations can be corrected for attenuation in a dependable fashion A possible causal relation is revealed by positive nonzero multiple regression weights or causal paths from the estimated true scores for both measures on the first occasion in predicting one or the other, but not both, on the second occasion. Given a positive finding, an interpretation that individual differences on one measure are anticipating individual differences on the other is conservative. Stronger causal inference requires additional research." @default.
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- W2090587315 date "1991-04-01" @default.
- W2090587315 modified "2023-09-27" @default.
- W2090587315 title "Causal inferences from observational data: Use a redesigned cross-lagged methodology" @default.
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- W2090587315 doi "https://doi.org/10.1016/0160-2896(91)90027-b" @default.
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