The aim of this proposal is to solicit research manuscripts examining eating behavior from a Structural Equation Modeling (SEM) framework. This includes the use of multivariate methods such as confirmatory factor analysis (CFA), exploratory SEM, latent growth curve modeling (LGCM), and latent variable mixture modeling (LVMM) methods such as growth mixture modeling (GMM) and sequential processes GMM. Suitable topics could include, but are not limited to: testing the fit of theoretical models of eating behavior to the data, assessment of change in eating behavior across time, confirming the validity of an existing measure, mediation and moderation models, or assessing for heterogeneity in eating behaviors. Studies can be longitudinal or cross-sectional.
A critical question is the role of psychological processes in behavior change. For instance, how does the experience of cognitive disequilibrium (distress) when facing triggers impact maintenance of unhealthy behaviors and the reluctance to change? Another related question is what is the importance of one’s environment in the reinforcement of eating behaviors? Relatedly, what psychological factors differentiate individuals who can successfully change unhealthy eating behaviors from those who cannot? To answer these critical questions, multivariate structural equation models are ideal as they permit researchers to test the fit of theoretical models to the observed data, providing needed data to build theory that may affect preventive eating behavior interventions and treatment.
Among the appropriate themes for this research topic are testing existing or novel theoretical models, assessment of treatment interventions, assessment of behavior change, assessment of heterogeneity of effects, and methods papers. Methods contributions may include the assessment of different approaches to the evaluation of internal and cross structure analysis in the evaluation of tests and measurements, novel statistical methods for modeling change, and introductions to different topics in structural equation model for eating behavior researchers. In addition to methods contributions, the preference is original research articles. However, systematic reviews of structural equation modeling in eating behavior research are acceptable, especially if the aim is to enhance the use of SEM in the field.
Kindly note that this topic is only welcoming submissions exclusively via Frontiers in Psychology. Please do not submit via Frontiers in Nutrition.
The aim of this proposal is to solicit research manuscripts examining eating behavior from a Structural Equation Modeling (SEM) framework. This includes the use of multivariate methods such as confirmatory factor analysis (CFA), exploratory SEM, latent growth curve modeling (LGCM), and latent variable mixture modeling (LVMM) methods such as growth mixture modeling (GMM) and sequential processes GMM. Suitable topics could include, but are not limited to: testing the fit of theoretical models of eating behavior to the data, assessment of change in eating behavior across time, confirming the validity of an existing measure, mediation and moderation models, or assessing for heterogeneity in eating behaviors. Studies can be longitudinal or cross-sectional.
A critical question is the role of psychological processes in behavior change. For instance, how does the experience of cognitive disequilibrium (distress) when facing triggers impact maintenance of unhealthy behaviors and the reluctance to change? Another related question is what is the importance of one’s environment in the reinforcement of eating behaviors? Relatedly, what psychological factors differentiate individuals who can successfully change unhealthy eating behaviors from those who cannot? To answer these critical questions, multivariate structural equation models are ideal as they permit researchers to test the fit of theoretical models to the observed data, providing needed data to build theory that may affect preventive eating behavior interventions and treatment.
Among the appropriate themes for this research topic are testing existing or novel theoretical models, assessment of treatment interventions, assessment of behavior change, assessment of heterogeneity of effects, and methods papers. Methods contributions may include the assessment of different approaches to the evaluation of internal and cross structure analysis in the evaluation of tests and measurements, novel statistical methods for modeling change, and introductions to different topics in structural equation model for eating behavior researchers. In addition to methods contributions, the preference is original research articles. However, systematic reviews of structural equation modeling in eating behavior research are acceptable, especially if the aim is to enhance the use of SEM in the field.
Kindly note that this topic is only welcoming submissions exclusively via Frontiers in Psychology. Please do not submit via Frontiers in Nutrition.