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Full weighted least squares (full WLS) and robust weighted least squares (robustWLS) are currently the two primary estimation methods designed for structural equationmodeling with ordinal observed variables. These methods assume that continuous latentvariables were coarsely categorized by the...
Persistent link: https://www.econbiz.de/10009429284
Recently, researchers have reformulated Item Response Theory (IRT) models into multilevel models to evaluate clustered data appropriately. Using a multilevel model to obtain item difficulty and person ability parameter estimates that correspond directly with IRT models’ parameters is often...
Persistent link: https://www.econbiz.de/10009429290
Handling of clustered or nested data structures requires the use of multilevel modeling techniques. One such multilevel modeling technique is multilevel structural equation modeling (MLSEM). While estimation of indirect effect parameters and standard errors based on the conventional multilevel...
Persistent link: https://www.econbiz.de/10009429292
The current study evaluated a multiple-membership growth curve model that can be used to model growth in student achievement, in the presence of student mobility. The purpose of the study was to investigate the impact of ignoring multiple school membership when modeling student achievement...
Persistent link: https://www.econbiz.de/10009429358
This simulation study compared the performance of two multilevel measurement testlet (MMMT) models: Beretvas and Walker’s (2008) two-level MMMT model and Jiao, Wang, and Kamata’s (2005) three-level model. Several conditions were manipulated (including testlet length, sample size, and the...
Persistent link: https://www.econbiz.de/10009429361