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Direct linkHilley, Chanler D.; O'Rourke, Holly P. – International Journal of Behavioral Development, 2022
Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…
Descriptors: Behavioral Science Research, Research Methodology, Longitudinal Studies, Behavior Change
Peter, Jochen; Valkenburg, Patti M. – Human Communication Research, 2009
The aim of this study was to investigate, within a social comparison framework, the causal relationship between adolescents' use of sexually explicit Internet material (SEIM) and their sexual satisfaction. In addition, we tested which adolescents were most susceptible to a potential influence of SEIM on sexual satisfaction. Between May 2006 and…
Descriptors: Structural Equation Models, Adolescents, Sexuality, Internet
Harring, Jeffrey R.; Cudeck, Robert; du Toit, Stephen H. C. – Multivariate Behavioral Research, 2006
The nonlinear random coefficient model has become increasingly popular as a method for describing individual differences in longitudinal research. Although promising, the nonlinear model it is not utilized as often as it might be because software options are still somewhat limited. In this article we show that a specialized version of the model…
Descriptors: Computer Software, Structural Equation Models, Individual Differences, Longitudinal Studies
