Titlebook: State-Trace Analysis; John C. Dunn,Michael L. Kalish Book 2018 Springer International Publishing AG, part of Springer Nature 2018 State-tr

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Functional Dissociationa metric of the dimensionality of the latent structure. We show that functional dissociation provides neither necessary nor sufficient evidence for multiple latent variables and similarly, that interactions derived from ANOVA depend on strong and unjustified linearity assumptions. We demonstrate the

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More Examplested and fully randomized factors, with examples of both significant and nonsignificant deviations from monotonicity. We discuss the problem of near-degeneracy, where one or both dependent variables are unaffected by the experimental factors.

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Bayesian Approaches with a specified partial order on two or more variables. Second, a null-hypothesis significance test based on an empirical sampling distribution of this statistic. While the empirical test is meaningful when used appropriately, it leaves open the possibility of a Bayesian form of state-trace analys

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Final Commentsthan one latent variable. State-trace analysis asks if the effects of one or more independent variables on two or more dependent variables are mediated by one or more than one latent variables. SDA asks if the effects are mediated by a model consisting of two, three, or potentially any number of lat

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John C. Dunn,Michael L. Kalishgenaue Betrachtung der Rechtslage lässt sich erklären, wie die zukünftige Entwicklung auf diesem Gebiet voranschreiten wird..Der Leser sollte nach Abschluss der Lektüre der ersten beiden Kapitel die notwendigen Hilfsmittel kennen, die als Grundlage der weiteren Ausführungen verstanden werden. Zu den

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