Titlebook: Continuous Time Modeling in the Behavioral and Related Sciences; Kees van Montfort,Johan H. L. Oud,Manuel C. Voelkl Book 2018 Springer Int

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Kees van Montfort,Johan H. L. Oud,Manuel C. VoelklThis is the first and only book on continuous time modeling in the behavioral and related sciences.Introduces Newtonian dynamics modeling by means of differential equations for behavioral and related

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First- and Higher-Order Continuous Time Models for Arbitrary , Using SEM,irst-order as well as higher-order models will be dealt with. Both will be handled by the general state space approach which reformulates higher-order models as first-order models. In addition to the basic model, the extensions of exogenous variables and traits (random intercepts) will be introduced

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Understanding the Time Course of Interventions with Continuous Time Dynamic Models,ple respond faster or stronger than others? Is the treatment more effective in the long run for those that respond quickly? We describe a continuous time dynamic modelling approach for addressing such questions, with discussion and example code for simple impulse effects, persistent changes in level

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Uses and Limitation of Continuous-Time Models to Examine Dyadic Interactions,. The theoretical model is based on work by Felmlee and Greenberg (J Math Soc 23(3):155–180, 1999), which specifies that change in affect results from the combination of a weighted difference between long-term expectations and daily ratings as well as daily ratings between partners in the dyad. To v

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Makes Religion Happy or Makes Happiness Religious? An Analysis of a Three-Wave Panel Using and Comp 43 and 56. Religiosity is measured as church attendance and Christian belief such that three measures are followed up over three time points. Analyses by structural equation modelling in discrete time and continuous time are compared. According to both methods, church attendance has the strongest a

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