Software Tools

r2MLM3 R function for Rights, J.D. & Sterba, S.K. (In press). R-squared measures for multilevel models with three or more levels. Multivariate Behavioral Research. DOI:10.1080/00273171.2021.1985948

reRegMixR2 R function for Sterba, S.K.,^ǂ & Rights, J.D.^ǂ (2022). R-squared measures for multilevel mixture models with random effects. Structural Equation Modeling, 29, 489-506. ^ǂAuthors contributed equally.

r2MLMlong R function for Rights, J.D., & Sterba, S.K. (2021). Effect size measures for longitudinal growth analyses: Extending a framework of multilevel model R-squareds to accommodate heteroscedasticity, autocorrelation, nonlinearity, and alternative centering strategies. New Directions for Child and Adolescent Development, 175, 65-110 (Special Issue on Developmental Methods).

r2MLMcomp R function and R package for Rights, J.D., & Sterba, S.K. (2020). New recommendations on the use of R-squared differences in multilevel model comparisons. Multivariate Behavioral Research, 55, 568-599.

r2MLM R function and R package for Rights, J.D., & Sterba, S.K. (2019). Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures. Psychological Methods, 24, 309-338.

regMixR2 R function for Rights, J.D., & Sterba, S.K. (2018). A framework of R-squared measures for single-level and multilevel regression mixture models. Psychological Methods, 23, 434-457.

npmmApproximation R function for Rights, J.D., & Sterba, S.K. (2016). The relationship between multilevel models and nonparametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity. British Journal of Mathematical and Statistical Psychology, 69, 316-343.

PAVranking R function for Sterba, S. K., & Rights, J. D. (2017). Effects of parceling on model selection: Parcel-allocation variability in model ranking. Psychological Methods, 22, 47-68.

poolMAlloc R function for Sterba, S. K., & Rights, J. D. (2016). Accounting for parcel-allocation variability in practice: Combining sources of uncertainty and choosing the number of allocations. Multivariate Behavioral Research, 51, 296-313.

parcelAllocation SAS macro and parcelAllocation R function for Sterba, S. K., & MacCallum, R. C. (2010). Variability in parameter estimates and model fit across repeated allocations of items to parcels. Multivariate Behavioral Research, 45, 322-358.

plotSEMM R function for Pek, J., Sterba, S. K., Kok, B., & Bauer, D. J. (2009). Estimating and visualizing nonlinear relations among latent variables: A semi-parametric approach. Multivariate Behavioral Research, 44, 407-436.