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Julian F. Lohmann; Steffen Zitzmann; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…
Descriptors: Time Management, Behavioral Science Research, Predictive Validity, Predictor Variables
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Stieger, Stefan; Reips, Ulf-Dietrich – Field Methods, 2019
We investigated fluctuations of well-being by using a smartphone-based mobile experience sampling method (real-time and multiple time point measurements in the field using smartphones). Moreover, temperature, longitude, latitude, altitude, wind speed, rainfall, and further environment-based indicators were included as predictors either from…
Descriptors: Well Being, Telecommunications, Handheld Devices, Predictor Variables
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Dempsey, Jack; Dempsey, Allison G.; Guffey, Danielle; Minard, Charles G.; Goin-Kochel, Robin P. – Journal of Autism and Developmental Disorders, 2016
Self-injurious behaviors (SIB) are problematic for many children with autism spectrum disorders (ASD). Existing models to explain factors contributing to SIB fail to account for a large proportion of variance in SIB. This study attempted to explain a greater proportion of variance in SIB by addressing methodological/theoretical limitations in…
Descriptors: Pervasive Developmental Disorders, Injuries, Self Destructive Behavior, Adolescent Attitudes