Seventh Mplus Users’ Meeting
Abstract – Combining approximate zero constraints for measurement invariance and cross-loadings: An application of dual process growth curve models with panel data
Daniel Seddig The paper investigates a common developmental pattern of hedonistic beliefs and associations with delinquent peer groups in adolescence. Based on theory and previous research it is assumed, that the two latent variables (‘hedonism’ and ‘association’) are partly intertwined as some indicators seem to be co-determined from both dimensions. Thus, a modeling strategy…
Read moreAbstract – Multilevel latent class analysis/Multi-state modeling in context of school leadership improvement
Marieke van Geel Educational leadership is often measured by means of teacher perceptions. In order to overcome problems with aggregation and take dependency among individual observations within a school into account, multi-level latent class analysis was applied to determine educational leadership at school level. By means of multi-state modelling (in R), change in leadership…
Read moreAbstract – Different approaches to Bayesian Measurement Invariance modeling and testing
Jean-Paul Fox (This is joint work with Research master student Vera Broks). Construct measurements from persons clustered in groups can only be correctly interpreted when measurement invariance assumptions hold. Different Bayesian models have been proposed to model violations of measurement invariance to correctly compare scores of persons from different groups. Results of a conditional…
Read moreNext meeting: 13th of January
The date of the next meeting has been determined: Wednesday 13th of January, 2016!
Read morePre-conference workshop
Prior to the seventh Mplus User’s Meeting, David Kaplan, from the department of Educational Psychology at the University of Wisconsin – Madison, will be giving a workshop on “An Introduction to Bayesian Methods for the Social Sciences”. A short outline of the workshop is presented below. Bayesian statistics has long been overlooked in the…
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