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- W2799967787 abstract "When studying longitudinal phenomena, the notions of traits and states can be a useful classification. Specifically, traits represent basic human characteristics that have a permanency or enduring property, while on the other hand, states are environmental or ephemeral that are more time specific. Admittedly, research often focuses on traits and the relationships of these traits to other important variables. Moving in a different direction, this contribution focuses on the more ephemeral aspects of longitudinal variables, that is, states. A very practical justification for this direction is model fit indices. A probably more important rationale for expanding the state model is to obtain a more accurate reflection of the situation under study. To establish a common foundation, a longitudinal factor analytic model and a latent curve model are presented. Next, a statistical model of the ephemeral effects or state, which is analogous to Spearman’s Two-Factor Theory is given. Lastly, a substantive illustration demonstrates the worthwhileness of this Two-Factor State Theory." @default.
- W2799967787 created "2018-05-17" @default.
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- W2799967787 date "2018-01-01" @default.
- W2799967787 modified "2023-09-27" @default.
- W2799967787 title "A Two-Factor State Theory" @default.
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- W2799967787 doi "https://doi.org/10.1007/978-3-319-77249-3_33" @default.
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