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The British Journal of Mathematical and Statistical Psychology|July 27, 2016
The relationship between multilevel models and non-parametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticityJason D Rights, Sonya K SterbaPsychological Methods|April 6, 2016
Effects of parceling on model selection: Parcel-allocation variability in model rankingSonya K Sterba, Jason D RightsNew Directions for Child and Adolescent Development|January 29, 2021
Effect size measures for longitudinal growth analyses: Extending a framework of multilevel model R-squareds to accommodate heteroscedasticity, autocorrelation, nonlinearity, and alternative centering strategiesJason D Rights, Sonya K SterbaMultivariate Behavioral Research|September 28, 2019
New Recommendations on the Use of R-Squared Differences in Multilevel Model ComparisonsJason D Rights, Sonya K SterbaPsychological Methods|March 17, 2017
A framework of R-squared measures for single-level and multilevel regression mixture modelsJason D Rights, Sonya K SterbaMultivariate Behavioral Research|April 8, 2016
Accounting for Parcel-Allocation Variability in Practice: Combining Sources of Uncertainty and Choosing the Number of AllocationsSonya K Sterba, Jason D RightsMultivariate Behavioral Research|April 27, 2022
R-squared Measures for Multilevel Models with Three or More LevelsJason D Rights, Sonya K SterbaPsychological Methods|July 13, 2018
Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measuresJason D Rights, Sonya K SterbaMultivariate Behavioral Research|April 11, 2023
On the Common but Problematic Specification of Conflated Random Slopes in Multilevel ModelsJason D Rights, Sonya K SterbaMultivariate Behavioral Research|January 7, 2016
Handling Missing Covariates in Conditional Mixture Models Under Missing at Random AssumptionsSonya K SterbaPageof 6