The importance of using appropriate modeling strategies in these situations has been demonstrated in the research literature (Grady & Beretvas, 2010; Luo & Kwok, 2012). This demonstration explains the concepts of multiple membership and cross-classification and demonstrates the use of a multilevel modeling software package (MLwiN) to account for these data structures in analyzing repeated measures data. Some familiarity with multi-level modeling is assumed. #Cluster,Multi-SiteandMulti-LevelEval #multiplemembership #HowTo #MultilevelModeling #studentmobility #Prek-12EducationalEvaluation #2013Conference #crossclassification #QuantitativeMethods-TheoryandDesign #MLwiN
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See matching library entry files - T Yr id Rdg FS1 FS2 FS 1 wt FS 2 wt SubSch1 SubS...
Hierarchical and multiplicative statistical models were used to analyze the data
Evaluation of a Multi-Site, Out-of-School-Time Program.pptx
Examples will be based on a value-added model which attempts to identify schools that stand out on measured student achievement
5 attachments
See matching library entry files - School effect sizes from a 3-level value-added ...
555 #multilevel #OrganizationalLearningandEvalCapacityBuilding #causal #AssessmentinHigherEducation #2009Conference #Analysis
Pattrawadee update 20 oct. 2009.pdf
The purpose of this evaluation was to estimate the effect of TFA corps members and TFA alumni on Texas student mathematics and reading scores as measured by the Texas Assessment of Knowledge and Skills (TAKS) exam in Texas in the 2010-11 school year. Using propensity score matching to create...
See matching library entry files - Confirmatory model results for ...