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Psychological Methods|May 7, 2026
Quantifying heteroscedasticity in linear models using quantile locally weighted scatterplot smoothing intervalsMartina Sladekova, Andy P FieldPsychological Methods|September 20, 2016
The impact of total and partial inclusion or exclusion of active and inactive time invariant covariates in growth mixture modelsThierno M O Diallo, Alexandre J S Morin, HuiZhong LuPsychological Methods|April 1, 2016
An empirical Kaiser criterionJohan Braeken, Marcel A L M van AssenPsychological Methods|November 28, 2017
Multilevel autoregressive mediation models: Specification, estimation, and applicationsQian Zhang, Lijuan Wang, C S BergemanPsychological Methods|May 21, 2019
Modeling of self-report behavior data using the generalized covariates in a uniform and shifted binomial mixture model: An empirical example and Monte Carlo simulationW Holmes Finch, Maria E Hernández FinchPsychological Methods|November 1, 2019
Comparing estimators for latent interaction models under structural and distributional misspecificationsHolger Brandt, Nora Umbach, Augustin Kelava, et al.Psychological Methods|July 26, 2019
Recovering bifactor models: A comparison of seven methodsCasey Giordano, Niels G WallerPsychological Methods|July 17, 2020
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysisHeungsun Hwang, Gyeongcheol Cho, Kwanghee Jung, et al.Psychological Methods|July 5, 2022
A modified approach to fitting relative importance networksMichael Brusco, Ashley L Watts, Douglas SteinleyPsychological Methods|October 1, 2020
A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity modelsPhilippe Rast, Stephen R Martin, Siwei Liu, et al.Pageof 123