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Did you mean equation AND differential?

Oud, Johan H. L.; Folmer, Henk – Multivariate Behavioral Research, 2011

This article addresses modeling oscillation in continuous time. It criticizes Steele and Ferrer's article "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011), particularly the approximate estimation procedure applied. This procedure is the latent version of the local linear approximation procedure…

Descriptors: Structural Equation Models, Computation, Calculus, Simulation

Deboeck, Pascal R. – Multivariate Behavioral Research, 2010

The fitting of dynamical systems to psychological data offers the promise of addressing new and innovative questions about how people change over time. One method of fitting dynamical systems is to estimate the derivatives of a time series and then examine the relationships between derivatives using a differential equation model. One common…

Descriptors: Computation, Calculus, Statistical Analysis, Statistical Bias

Deboeck, Pascal R.; Boker, Steven M.; Bergeman, C. S. – Multivariate Behavioral Research, 2008

Among the many methods available for modeling intraindividual time series, differential equation modeling has several advantages that make it promising for applications to psychological data. One interesting differential equation model is that of the damped linear oscillator (DLO), which can be used to model variables that have a tendency to…

Descriptors: Calculus, Models, Longitudinal Studies, Psychological Studies

Steele, Joel S.; Ferrer, Emilio – Multivariate Behavioral Research, 2011

This article presents our response to Oud and Folmer's "Modeling Oscillation, Approximately or Exactly?" (2011), which criticizes aspects of our article, "Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes" (2011). In this response, we present a conceptual explanation of the derivative-based estimation…

Descriptors: Calculus, Responses, Simulation, Models

Steele, Joel S.; Ferrer, Emilio – Multivariate Behavioral Research, 2011

We examine emotion self-regulation and coregulation in romantic couples using daily self-reports of positive and negative affect. We fit these data using a damped linear oscillator model specified as a latent differential equation to investigate affect dynamics at the individual level and coupled influences for the 2 partners in each couple.…

Descriptors: Affective Behavior, Calculus, Models, Females

Woods, Carol M. – Multivariate Behavioral Research, 2009

Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item…

Descriptors: Test Bias, Structural Equation Models, Item Response Theory, Testing

Wu, Wei; West, Stephen G. – Multivariate Behavioral Research, 2010

This study investigated the sensitivity of fit indices to model misspecification in within-individual covariance structure, between-individual covariance structure, and marginal mean structure in growth curve models. Five commonly used fit indices were examined, including the likelihood ratio test statistic, root mean square error of…

Descriptors: Goodness of Fit, Computation, Statistical Analysis, Structural Equation Models

Peer reviewed

Widaman, Keith F. – Multivariate Behavioral Research, 1993

Across conditions, differences between population parameters defined by common factor analysis and component analysis are demonstrated. Implications for data analytic and theoretical issues related to choice of analytic model are discussed. Results suggest that principal components analysis should not be used to obtain parameters reflecting latent…

Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Factor Analysis