AkaikeH. (1987). Factor analysis and AIC. Psychometrika, 52, 317–332.
2.
BatesD.MaechlerM.BolkerB.WalkerS. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48.
3.
FinchW. H.BolinJ. E.KelleyK. (2014). Multilevel modeling using R. Boca Raton, FL: Chapman and Hall.
4.
HoxJ. J.MoerbeekM.van de SchootR. (2018). Multilevel analysis: Techniques and applications (3rd ed.). New York, NY: Routledge.
5.
JöreskogK. G.SörbomD. (2015). LISREL 9.20 for Windows [Computer software]. Skokie, IL: Scientific Software International.
6.
KaplanD. (2014). Bayesian statistics for the social sciences. New York, NY: The Guilford Press.
7.
KruschkeJ. K. (2011). Bayesian assessment of null values via parameter estimation and model comparison. Perspectives on Psychological Science, 6, 299–312.
8.
LittellR. C.MillikenG. A.StroupW. W.WolfingerR. D.SchabenbergerO. (2006). SAS for mixed models (2nd ed.). Cary, NC: SAS Institute.
9.
LynchS. M. (2010). Introduction to applied Bayesian statistics and estimation for social scientists. New York, NY: Springer-Verlag.
10.
MuthénL. K.MuthénB. O. (1998–2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Author.
11.
PinheiroJ.BatesD.DebRoyS.SarkarD.R Core Team. (2017). nlme: Linear and nonlinear mixed effects models (R package version 3.1-131). Retrieved fromhttps://CRAN.R-project.org/package=nmle
12.
Rabe-HeskethS.SkrondalA. (2008). Multilevel and longitudinal modeling using Stata (2nd ed.). College Station, TX: Stata Press.
13.
RaschG. (1960). Probabilistic models for some intelligence and attainment tests. Chicago, IL: University of Chicago Press.
14.
RaudenbushS. W.BrykA. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
15.
RaudenbushS. W.BrykA. S.CongdonR. (2013). HLM 7.01 for Windows [Computer software]. Skokie, IL: Scientific Software International.
16.
R Core Team. (2017). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved fromhttps://www.R-project.org/
17.
SAS Institute Inc. (2017). SAS/STAT® 14.3 user’s guide. Cary, NC: Author.
18.
SchwarzG. (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461–464.
19.
StataCorp. (2017). Stata statistical software: Release 15. College Station, TX: Author.